Accueil || Parcours || Recherche || S'enregistrer || Mon Compte || Contacts || Aide || Langues
Benenson, Rodrigo (2008) Perception pour véhicule urbain sans conducteur : conception et implémentation. Doctorat Informatique temps réel, robotique et automatique, CAOR- Centre de robotique, ENSMP p.206.
Plein texte disponible en tant que :
|
|
Résumé
Le développement de véhicules sans conducteur capables de se déplacer sur des routes urbaines pourrait offrir des avantages importants dans la réduction des accidents, le confort et la réduction des coûts des déplacements. Dans ce document, nous discutons la manière de créer un système de perception permettant à un robot de conduire sur des routes sans devoir adapter l'infrastructure, sans avoir besoin de visites précédentes, et en prenant en compte la présence de piétons et d'autres voitures. Nous affirmons que le processus de perception est spécifique à l'application visée et que, par nature, il doit être capable de gérer les incertitudes dans la connaissance du monde. Nous analysons le problème de perception pour une conduite sûre dans les environnements urbains et proposons une solution où le processus de perception est formulé comme un processus d'optimisation. Nous pensons aussi que le processus de perception pourrait bénéficier de la collaboration entre véhicules à proximité. Nous examinons ce problème et proposons une solution adaptée aux contraintes rencontrés dans les zones urbaines. Ici la question centrale est formulée comme un problème d'association de données. La conception théorique du nouveau système de perception est validé par des expérimentations à pleine échelle sur notre véhicule électrique automatisé, le Cycab.
| Type d'EPrint: | Thèse (Doctorat) |
|---|---|
| Directeur de Thèse: | Laugier, Christian |
| Date: | 25 Novembre 2008 |
| Jury de Thèse: | Bonnifait, Philippe et Martinet, Philippe et Laurgeau, Claude et d'Andréa-Novel, Brigitte et Ibañez- Guzman, Javier |
| Ecole Doctorale: | ED 431 INFORMATION, COMMUNICATION, MODELISATION ET SIMULATION |
| Discipline: | Informatique temps réel, robotique et automatique |
| Fonds: | Mines ParisTech (ENSMP) |
| Institution: | ENSMP |
| Laboratoire: | CAOR- Centre de robotique |
| Sujets: | 2. Sciences et technologies de l'information et de la communication |
| Mots-clés libres: | Véhicule sans conducteur, Robot intelligent, Planification du mouvement, Perception du mouvement, Détection objet, Détection mouvement, Zone urbaine, Sécurité routière, Driverless vehicle, Intelligent robots, Motion planning, Motion perception, Object detection, Motion detection, Urban area, Road safety |
| Code ID: | 5327 |
| Déposé par : | Claudine Abauzit |
| Déposé le : | 05 Août 2009 |
Références Bibliographiques
[1] Gapminder, “Gapminder website,” 2007. [Online]. Available: http://www.
gapminder.org/
[2] WorldBank, “World bank development education program life expectancy
website,” 2007. [Online]. Available: http://www.worldbank.org/depweb/
english/modules/social/life/index.html
[3] NSC, “What are the odds of dying?” 2007. [Online]. Available:
http://www.nsc.org/lrs/statinfo/odds.htm
[4] “European road safety observatory website,” 2007. [Online]. Available:
http://www.erso.eu/
[5] W. H. Organization, “World report on road traffic injury prevention,”
2004. [Online]. Available: http://www.who.int/violence_injury_prevention/
publications/road_traffic/world_report/en/index.html
[6] M. Lowson, “Energy use and sustainability of transport systems,” Advanced
Transport Group, University of Bristol, Tech. Rep., 2004, prepared under
the Cybercar Contract, Task 3.4 Energy Management. [Online]. Available:
www.cybercars.org
[7] UnitedNations, “World population and urbanization prospects website,” 2007.
[Online]. Available: http://esa.un.org/unpp
[8] K. Rumar, “Transport safety visions, targets and strategies; beyond 2000,”
1st European Transport Safety Lecture. European Transport Safety Council,
Brussels, Tech. Rep., 1999. [Online]. Available: http://www.etsc.be/documents/
etsl1.pdf
[9] I. Paromtchik and C. Laugier, “Autonomous parallel parking of a nonholonomic
vehicle,” 1996. [Online]. Available: http://citeseer.ist.psu.edu/article/
paromtchik97autonomous.html
[10] C. Pradalier, J. Hermosillo, C. Koike, C. Braillon, P. Bessière, and C. Laugier,
“Safe and autonomous navigation for a car-like robot among pedestrian,” in
IARP Int. Workshop on Service, Assistive and Personal Robots, Madrid (ES),
October 2003. [Online]. Available: http://emotion.inrialpes.fr/bibemotion/2003/
PHKBBL03
[11] S. Thrun, M. Montemerlo, H. Dahlkamp, D. Stavens, A. Aron, J. Diebel,
P. Fong, J. Gale, M. Halpenny, G. Hoffmann, K. Lau, C. Oakley, M. Palatucci,
V. Pratt, P. Stang, S. Strohband, C. Dupont, L.-E. Jendrossek, C. Koelen,
C. Markey, C. Rummel, J. van Niekerk, E. Jensen, P. Alessandrini,
G. Bradski, B. Davies, S. Ettinger, A. Kaehler, A. Nefian, and P. Mahoney,
“Stanley: The robot that won the darpa grand challenge,” Journal of Field
Robotics, vol. 23, no. 9, pp. 661–692, September 2006. [Online]. Available:
http://robots.stanford.edu/papers/thrun.stanley05.html
[12] R. Benenson, S. Petti, M. Parent, and T. Fraichard, “Integrating perception
and planning for autonomous navigation of urban vehicles,” in IEEE/RSJ
International Conference on Intelligent Robots and Systems (IROS), Beijing,
China, 2006. [Online]. Available: http://hal.inria.fr/inria-00086286
[13] E. Royer, M. Lhuillier, M. Dhome, and J. Lavest, “Monocular vision for
mobile robot localization and autonomous navigation,” International Journal
of Computer Vision, vol. 74, no. 3, pp. 237–260, 2007. [Online]. Available:
http://www.lasmea.univ-bpclermont.fr/Personnel/Maxime.Lhuillier
[14] A. Awasthi, “Développement d’un système de routage hiérarchique pour
les réseaux urbains,” Ph.D. dissertation, UNIVERSITE DE METZ, 2004.
[Online]. Available: http://tel.ccsd.cnrs.fr/documents/archives0/00/00/77/51/
index_fr.html
[15] S. Petti, “Safe navigation within dynamic environments: a partial motion planning
approach,” Ph.D. dissertation, Ecole des Mines de Paris, 2007.
[16] C.-C. Wang, “Chieh-chih (bob) wang homepage,” 2007. [Online]. Available:
http://www.csie.ntu.edu.tw/~bobwang/
[17] C. Wang, “Simultaneous localization, mapping and moving object tracking,”
Ph.D. dissertation, Robotics Institute, Carnegie Mellon University, Pittsburgh,
PA, April 2004. [Online]. Available: http://www.acfr.usyd.edu.au/people/
academic/bobwang/Papers/wang_thesis_04.html
[18] J.-P. Laumond, Robot Motion Planning and Control, ser. Lectures Notes in
Control and Information Sciences, J.-P. Laumond, Ed. Springer, 1998, vol.
229. [Online]. Available: http://www.laas.fr/~jpl/book.html
[19] T. Fraichard, “A short paper about motion safety,” in Proceedings of the
IEEE International Conference on Robotics and Automation, 2007. [Online].
Available: http://hal.inria.fr/inria-00134467/
[20] T. Fraichard and H. Asama, “Inevitable collision states - a step towards safer
robots?” Advanced Robotics, vol. 18, no. 10, pp. 1001–1024, 2004. [Online].
Available: http://emotion.inrialpes.fr/bibemotion/2004/FA04
[21] K. E. Bekris and L. E. Kavraki, “Greedy but safe replanning under kinodynamic
constraints,” in Proceedings of the Intl. Conf. on Robotics and Automation.
Rome, Italy: IEEE press, April 2007, pp. 704–710. [Online]. Available:
http://www.kavrakilab.org/node/401
[22] R. Parthasarathi and T. Fraichard, “An inevitable collision state-checker for
a car-like vehicle,” in IEEE Int. Conf. on Robotics and Automation, 2007.
[Online]. Available: http://hal.inria.fr/inria-00134471/en/
[23] K. E. Bekris, K. I. Tsianos, and L. E. Kavraki, “A distributed protocol for safe
real-time planning of communicating vehicles with second-order dynamics,” in
Proceedings of the First International Conference on Robot Communication and
Coordination (ROBOCOMM 07), Athens, Greece, Oct. 15-17 2007. [Online].
Available: http://www.kavrakilab.org/node/399
[24] S. Kolski, K. Macek, L. Spinello, and R. Siegwart, “Secure autonomous
driving in dynamic environments: From object detection to safe driving.”
in Proceedings of the Workshop on Safe Navigation in Open and Dynamic
Environments: Applications to Autonomous Vehicles at the IEEE International
Conference on Robotics and Systems, San Diego, USA, 2007. [Online].
Available: http://teamster.usc.edu/~moradi/iros07/iv_iros07.htm
[25] R. Philippsen, B. Jensen, and R. Siegwart, “Toward online probabilistic
path replanning in dynamic environments,” in Proceedings of the International
Conference on Intelligent Robots and Systems, 2006. [Online]. Available:
http://asl.epfl.ch/index.html?content=member.php\&SCIPER=103090
[26] J. van den Berg, D. Ferguson, and J. Kuffner, “Anytime path planning and
replanning in dynamic environments,” in Proceedings of the IEEE International
Conference on Robotics and Automation (ICRA), May 2006, pp. 2366 – 2371.
[Online]. Available: http://www.ri.cmu.edu/pubs/pub_5305.html
[27] S. Petti and T. Fraichard, “Partial motion planning framework for reactive
planning within dynamic environments,” in Proc. of the IFAC/AAAI Int. Conf. on
Informatics in Control, Automation and Robotics, Barcelona, Spain, September
2005. [Online]. Available: http://hal.inria.fr/inria-00182043
[28] Petti and Fraichard, “Safe motion planning in dynamic environments,” in
IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, Edmonton, AB, Canada,
August 2005. [Online]. Available: http://hal.inria.fr/inria-00182046
[29] C. Urmson, “Driving beyond stopping distance constraints,” in Proceedings of
the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS), October
2006, pp. 1189–1194.
[30] C. Fulgenzi, A. Spalanzani, and C. Laugier, “Dynamic obstacle avoidance in
uncertain environment combining pvos and occupancy grid,” in Proceedings
of IEEE International Conference on Robotics and Automation, ICRA, Rome,
Italy, April 2007. [Online]. Available: http://hal.inria.fr/inria-00211845/en/
[31] A. D. Vasquez, T. Fraichard, O. Aycard, and C. Laugier, “Intentional
motion on-line learning and prediction,” in Proc. of the Int. Conf. on Field
and Service Robotics, Port Douglas (AU), July 2005. [Online]. Available:
http://emotion.inrialpes.fr/bibemotion/2005/VFAL05
[32] J. van den Berg and M. Overmars, “Kinodynamic motion planning
on roadmaps in dynamic environments,” in Proc. IEEE/RSJ Int. Conf. on
Intelligent Robots and Systems - IROS, 2007, pp. 4253 – 4258. [Online].
Available: http://www.cs.unc.edu/~berg/
[33] L. Bouraoui, S. Petti, A. Laouiti, T. Fraichard, and M. Parent, “Cybercar cooperation
for safe intersections,” in Proc. of the IEEE Int. Conf. on Intelligent Transportation
Systems, 2006. [Online]. Available: http://hal.inria.fr/inria-00182006/
[34] C. Thorpe, O. Clatz, D. Duggins, J. Gowdy, R. MacLachlan, J. R. Miller,
C. Mertz, M. Siegel, C.-C. Wang, and T. Yata, “Dependable perception
for robots,” in Proceedings of International Advanced Robotics Programme
IEEE. Seoul, Korea: Robotics and Automation Society, May 2001. [Online].
Available: http://www.ri.cmu.edu/pubs/pub_3724.html
[35] C. Thorpe, J. D. Carlson, D. Duggins, J. Gowdy, R. MacLachlan, C. Mertz,
A. Suppe, and C.-C. Wang, “Safe robot driving in cluttered environments,” in
Proceedings of the 11th International Symposium of Robotics Research, October
2003. [Online]. Available: http://www.ri.cmu.edu/pubs/pub_4471.html
[36] S. Robertson, “Motion safety for an autonomous vehicle race in an
urban environment,” in Proceedings of the 2006 Australasian Conference
on Robotics & Automation, December 2006. [Online]. Available: http:
//www.araa.asn.au/acra/acra2006/papers/paper_5_47.pdf
[37] C. Urmson, “Navigation regimes for off-road autonomy,” Ph.D. dissertation,
Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, May 2005.
[Online]. Available: http://www.ri.cmu.edu/pubs/pub_5096.html
[38] F. Biral, M. Da Lio, and E. Bertolazzi, “Combining safety margins and user
preferences into a driving criterion for optimal control-based computation of
reference maneuvers for an adas of the next generation,” in Proceedings
of the IEEE Intelligent Vehicles Symposium, June 2005. [Online]. Available:
http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=1505074
[39] “Wordnet, a lexical database for the english language,” 2005. [Online].
Available: http://wordnet.princeton.edu/
[40] “Bosch’s controller area network,” 2005. [Online]. Available: http://www.can.
bosch.com
[41] M. Kais, S. Dauvillier, A. D. L. Fortelle, I. Masaki, and C. Laugier, “Towards
outdoor localization using gis, vision system and stochastic error propagation,”
in Proceedings of the second International Conference on Autonomous Robots
and Agents, Palmerston North, New Zealand, December 2004.
[42] E. Yang, D. Gu, T. Mita, , and H. Hu, “Nonlinear tracking control of a car-like
mobile robot via dynamic feedback linearization,” in Proceedings of Control,
University of Bath, September 2004.
[43] Wikipedia, the free encyclopedia, “Kinematics,” 2005. [Online]. Available:
http://en.wikipedia.org/wiki/Kinematics
[44] P. Brault, H. Mounier, N. Petit, and P. Rouchon, “Flatness based tracking control
of a manoeuvrable vehicle : the picar,” in Proceedings of the Fourteenth International
Symposium of Mathematical Theory of Networks and Systems, Perpignan,
France, June 2000.
[45] J. Hermosillo and S. Sekhavat, “Feedback control of a bi-steerable car
using flatness; application to trajectory tracking,” in Proc. of the American
Control Conference, Denver, CO (US), June 2003. [Online]. Available:
http://emotion.inrialpes.fr/bibemotion/2003/HS03
[46] P. Bonnifait, P. Bouron, P. Crubillé, and D. Meizel, “Data fusion of four abs
sensors and gps for an enhanced localization of car-like vehicles,” in IEEE International
Conference on Robotics and Automation, Seoul, South Korea, May
2001, pp. 1597–1602.
[47] “Galileo european satellite navigation system,” 2005. [Online]. Available:
http://europa.eu.int/comm/dgs/energy_transport/galileo/index_en.htm
[48] M. E. E. Najjar and P. Bonnifait, “A roadmap matching method for precise vehicle
localization using belief theory and kalman filtering,” in Proceedings of
ICAR03 - The 11th International Conference on Advanced Robotics, Portugal,
July 2003, pp. 1677–1682.
[49] “Tomtom, portable gps car navigation systems,” 2005. [Online]. Available:
http://www.tomtom.com
[50] Wikipedia, the free encyclopedia, “Global positioning system,” 2005. [Online].
Available: http://en.wikipedia.org/wiki/GPS
[51] T. N. Limited, “Trimble gps tutorial,” 2005. [Online]. Available: http:
//www.trimble.com/gps/
[52] J. Chao, Y. qi Chen, W. Chen, X. Ding, Z. Li, N. Wong, and M. Yu,
“An experimental investigation into the performance of gps-based vehicle
positioning in very dense urban areas,” Journal of Geospatial Engineering,
vol. 3, pp. 59–66, 2001. [Online]. Available: http://www.lsgi.polyu.edu.hk/
staff/ZL.Li/vol_3_1/06_chao.pdf
[53] D. Simon, “From here to infinity,” Embedded Systems Programming, vol. 14,
no. 11, pp. 20–32, October 2001. [Online]. Available: http://www.embedded.
com/story/OEG20010925S0091
[54] P. L. Rawicz, “H [infinity symbol]/h2/kalman filtering of linear dynamical
systems via variational techniques with applications to target tracking,”
Ph.D. dissertation, Drexel University, November 2002. [Online]. Available:
http://dspace.library.drexel.edu/handle/1860/79
[55] A. Hoess, “Multifunctional automotive radar network (radarnet),” RadarNet
Consortium, Final Report, December 2004. [Online]. Available: http:
//www.radarnet.org
[56] P. deliverable, ProFusion Subproject, “Sensor data sheets,” 2004. [Online].
Available: http://www.prevent-ip.org/en/public_documents/deliverables/
[57] “Sick, sensor intelligence,” 2005. [Online]. Available: http://www.sick.com
[58] “Velodyne hd lidar website,” 2007. [Online]. Available: http://www.velodyne.
com/lidar
[59] “Prevent subproject usercams,” 2005. [Online]. Available: http://tinyurl.com/
542c2j
[60] J. Diebel, K. Reutersward, S. Thrun, J. Davis, and R. Gupta, “Simultaneous
localization and mapping with active stereo vision,” in IEEE/RSJ International
Conference on Intelligent Robots and Systems (IROS), Sendai, Japan, September
2004.
[61] J. Tardos, J. Neira, P. Newman, and J. Leonard, “Robust mapping and
localization in indoor environments using sonar data,” International Journal of
Robotics Research, vol. 21, no. 4, pp. 311–330, April 2002. [Online]. Available:
http://oe.mit.edu/~jleonard/
[62] S. Thrun, D. Fox, and W. Burgard, “A probabilistic approach to concurrent
mapping and localization for mobile robots,” Machine Learning, vol. 31,
pp. 29–53, 1998, also appeared in Autonomous Robots 5, 253–271 (joint
issue). [Online]. Available: http://www-2.cs.cmu.edu/~thrun/papers/thrun.
maploc.html
[63] V. Varveropoulos, “Robot localization and map construction using sonar data,”
2005. [Online]. Available: http://rossum.sourceforge.net/papers/Localization/
PosPosterv4.pdf
[64] R. Rouveure, M. O. Monod, and P. Faure, “Mapping of the environment
with a high resolution ground-based radar imager,” in Proceedings of the 14th
IEEE Mediterranean Electrotechnical Conference, 2008. [Online]. Available:
http://impala.cemagref.fr
[65] K. Fürstenberg and T. Kluge, “Laserscanner for automotive applications,” in
WIT Workshop for Intelligence Transport, 2004.
[66] M.Wiedemann, M. Sauer, F. Driewer, and K. Schilling, “Analysis and characterization
of the pmd camera for application in mobile robotics,” in Proceedings of
the 17th World Congress of The International Federation of Automatic Control,
Seoul, Korea, July 2008.
[67] R. Sheh, M. W. Kadous, and C. Sammut, “On building 3d maps
using a range camera: Applications to rescue robotics,” UNSW, Sydney,
Australia, Tech. Rep. UNSW-CSE-TR-0609, 2006. [Online]. Available:
http://rsheh.web.cse.unsw.edu.au
[68] W. Zhou, J. V. Miro, and G. Dissanayake, “6d appearance slam based
on ranging vision and information theory,” in Proceedings of the IEEE/RSJ
International Conference on Robots and Systems, Nice, France, September
2008, pp. 2072–2077. [Online]. Available: http://www.cas.edu.au/publications
[69] E. Royer, M. Lhuillier, M. Dhome, and T. Chateau, “Towards an alternative gps
sensor in dense urban environment from visual memory,” in Proceedings of the
15th British Machine Vision Conference, London, United Kingdom, September
2004. [Online]. Available: http://wwwlasmea.univ-bpclermont.fr/Personnel/
Maxime.Lhuillier/
[70] S. Thrun, D. Fox, W. Burgard, and F. Dellaert, “Robust monte carlo localization
for mobile robots,” Artificial Intelligence, vol. 128, no. 1-2, pp. 99–141, 2000.
[Online]. Available: http://robots.stanford.edu/papers/thrun.robust-mcl.html
[71] D. Nister, O. Naroditsky, and J. Bergen, “Visual odometry,” in IEEE Computer
Society Conference on Computer Vision and Pattern Recognition (CVPR’04),
vol. 1, June 2004, pp. 652–659. [Online]. Available: http://www.eecs.berkeley.
edu/~marci/VisualOdometry.pdf
[72] L. Mejias, S. Saripalli, G. Sukhatme, and P. Campoy, “Detection and tracking of
external features in an urban environment using an autonomous helicopter,” in
IEEE International Conference on Robotics and Automation, 2005.
[73] M. Yang, Q. Yu, H. Wang, and B. Zhang, “Vision-based real-time obstacles
detection and tracking for autonomous vehicle guidance,” in Proceedings of
SPIE Photonics West 2002 - Electronic Imaging 2002: Science and Technology,
vol. 4666, San Jose, California USA, January 2002, pp. 65–74. [Online].
Available: http://yang.ming.free.fr/paper/index.htm#journals
[74] M. Bertozzi, A. Broggi, R. Chapuis, F. Chausse, A. Fascioli, and
A. Tibaldi, “Shape-based pedestrian detection and localization,” in IEEE
International Conference on Intelligent Transportation Systems 2003, Shangai,
China, October 2003, pp. 328–333. [Online]. Available: http://www.ce.unipr.it/
people/broggi/publications
[75] A. Wedel, T. Schoenemann, T. Brox, and D. Cremers, “Warpcut - fast obstacle
segmentation in monocular video,” in Pattern Recognition (Proc. DAGM), ser.LNCS.Heidelberg,Germany:Springer, September 2007
[76] A. Davison, W. Mayol, and D. Murray, “Real-time localisation and mapping
with wearable active vision,” in Proc. IEEE International Symposium on Mixed
and Augmented Reality. IEEE Computer Society Press, October 2003, (To
appear). [Online]. Available: http://www.robots.ox.ac.uk/ActiveVision/Papers/
davison_etal_ismar2003/davison_etal_ismar2003.html
[77] S. Se, D. Lowe, and J. Little, “Mobile robot localization and mapping with
uncertainty using scale-invariant visual landmarks,” International Journal of
Robotics Research, vol. 21, no. 8, pp. 735–758, August 2002. [Online].
Available: http://www.cs.ubc.ca/~se/research.html
[78] A. Levin and R. Szeliski, “Visual odometry and map correlation,” in IEEE
Conference on Computer Vision and Pattern Recognition,Washington DC, June
2004. [Online]. Available: http://www.cs.huji.ac.il/~alevin/
[79] N. Simond and P. Rives, “Trajectography of an uncalibrated stereo rig in urban
environments,” in IEEE RSJ/International conference on Intelligent Robot and
System (IROS’04), Sendai, Japan, Sept. 28-Oct. 2 2004, pp. 3381–3386.
[80] A. Comport, E. Malis, and P. Rives, “Accurate quadri-focal tracking for robust
3d visual odometry,” in Proceedings of the IEEE International Conference on
Robotics and Automation, 2007. [Online]. Available: http://www-sop.inria.fr/
icare/personnel/andrew.comport/publications/pdf/2007_icra_comport.pdf
[81] K. Konolige, “Small vision systems: Hardware and implementation.” in Eighth
International Symposium on Robotics Research, Hayama, Japan, October 1997.
[Online]. Available: http://www.ai.sri.com/~konolige/pubs.htm
[82] M. Okutomi, K. Nakano, J. Maruyama, and T. Hara, “Robust estimation
of planar regions for visual navigation using sequential stereo images,”
in Proceedings - IEEE International Conference on Robotics and Automation,
vol. 4, 2002, pp. 3321–3327. [Online]. Available: http://okutomi-lab.ctrl.titech.
ac.jp/res/RSU.html
[83] Q. Yu, H. Araujo, and H. Wang, “Stereo-vision based real-time obstacle
detection for urban environments,” in Proceedings of Int. Conf. on Advanced
Robotics, Coimbra, Portugal, July 2003, pp. 1671–1676. [Online]. Available:
http://iris.usc.edu/~qianyu/
[84] T. K. Marks, A. Howard, M. Bajracharya, G. W. Cottrell, and L. Matthies,
“Gamma-slam: Stereo visual slam in unstructured environments using
variance grid maps,” in Proceedings of the IEEE Conference on Intelligent
Robots and Systems (IROS), 2007. [Online]. Available: http://www.ai.sri.com/
conf/iros2007/5.pdf
[85] L. Paz, P. Pinies, J. Tardos, and J. Neira, “Large-scale 6-dof slam with
stereo-in-hand,” in IEEE Transactions on Robotics, vol. 24, no. 5, October
2008, pp. 946–957. [Online]. Available: http://www.ai.sri.com/conf/iros2007
[86] M. Antone and S. Teller, “Scalable, absolute position recovery for omnidirectional
image networks,” in Proceedings of the IEEE CVPR International
Conference on Computer Vision and Pattern Recognition, December 2001.
[Online]. Available: http://graphics.csail.mit.edu/~seth/pubs/
[87] H. Andreasson and T. Duckett, “Topological localization for mobile robots
using omni-directional vision and local features,” in Proceedings of the 5th
IFAC Symposium on Intelligent Autonomous Vehicles, Lisbon, Portugal, 2004.
[Online]. Available: http://www.aass.oru.se/~tdt/Papers/hatd_iav2004.html
[88] D. Scaramuzza and R. Siegwart, “Appearance-guided monocular omnidirectional
visual odometry for outdoor ground vehicles,” in IEEE Transactions on
Robotics, vol. 24, no. 5, October 2008.
[89] A. Davison, Y. G. Cid, and N. Kita, “Real-time 3D SLAM with wideangle
vision,” in Proceedings IFAC Symposium on Intelligent Autonomous
Vehicles, Lisbon, July 2004. [Online]. Available: http://www.robots.ox.ac.uk/
ActiveVision/Papers/davison_etal_iav2004/davison_etal_iav2004.html
[90] H. Andreasson, T. Duckett, and A. Lilienthal, “A minimalistic approach to
appearance-based visual slam,” in IEEE Transactions on Robotics, vol. 24, no. 5,
October 2008, pp. 991–1001.
[91] M. Bertozzi, A. Broggi, A. Fascioli, T. Graf, and M. Meinecke,
“Pedestrian Detection for Driver Assistance Using Multiresolution Infrared
Vision,” IEEE Transaction on Vehicular Technology, vol. 53, no. 6, pp.
1666–1678, November 2004, iSSN 0018-9545. [Online]. Available: http:
//www.ce.unipr.it/people/bertozzi/pap/
[92] “Swissranger, a miniature 3d time of flight camera,” 2005. [Online]. Available:
http://www.swissranger.ch
[93] P. deliverable, ProFusion Subproject, “Compendium on sensor data fusion,”
2004. [Online]. Available: http://www.prevent-ip.org/en/public_documents/
deliverables/
[94] E. T. Jaynes, Probability Theory: the logic of science. Cambridge University
Press, January 2003. [Online]. Available: http://print.google.com/print?q=
Probability+Theory+Jaynes
[95] P. Bessière, “Survey: Probabilistic methodology and techniques for artefact
conception and development,” INRIA-Rhone-Alpes, Tech. Rep. 4730, February
2003. [Online]. Available: http://www.inria.fr/rrrt/rr-4730.html
[96] M. Paskin, “A short course on graphical models,” 2003. [Online]. Available:
http://www.stanford.edu/~paskin/gm-short-course/index.html
[97] D. Bellot and P. Bessière, “Approximate discrete probability distribution
representation using a multi-resolution binary tree,” in IEEE International
Conference on Tools with Artificial Intelligence, 2003. [Online]. Available:
http://www.stat.berkeley.edu/~bellot/
[98] T. Minka, “Bayesian inference in dynamic models – an overview,” 2005.
[Online]. Available: http://research.microsoft.com/~minka/papers/dynamic.
html
[99] J. Diard, P. Bessière, and E. Mazer, “A survey of probabilistic models,
using the bayesian programming methodology as a unifying framework,” in
Proc. of the Int. Conf. on Computational Intelligence, Robotics and Autonomous
Systems, Singapore (SG), December 2003. [Online]. Available: http:
//emotion.inrialpes.fr/bibemotion/2003/DBM03
[100] S. Maskell, “Sequentially structured bayesian solutions,” Ph.D. dissertation,
Cambridge University Engineering Department, 2004. [Online]. Available:
http://www.simonmaskell.com/
[101] R. van der Merwe and E. Wan, “Sigma-point kalman filters for probabilistic
inference in dynamic state-space models,” in Proceedings of the Workshop
on Advances in Machine Learning, Montreal, Canada, June 2003. [Online].
Available: http://choosh.ece.ogi.edu/spkf/
[102] I. Rekleitis, “Particle filter tutorial for mobile robots,” School of Computer
Science, McGill University, Montreal, Quebec, Canada, Tech. Rep., 2003.
[Online]. Available: http://www.cim.mcgill.ca/~yiannis/ParticleTutorial.html
[103] I. Abuhadrous, “Système embarqué temps réel de localisation et de modélisation
3d par fusion multi-capteur,” Ph.D. dissertation, Centre de Robotique, Mines de
Paris, 2005. [Online]. Available: http://pastel.paristech.org/archive/00001118/
[104] R. van der Merwe and E. A. Wan, “Sigma-point kalman filters for
integrated navigation,” in Proceedings of the 60th Annual Meeting of The
Institute of Navigation, Dayton, OH, June 2004. [Online]. Available: http:
//www.cslu.ogi.edu/publications/
[105] A. Elfes, “Using occupancy grids for mobile robot perception and navigation,”
Computer, vol. 22, no. 6, pp. 46–57, June 1989. [Online]. Available:
http://csdl.computer.org/comp/mags/co/1989/06/r6046abs.htm
[106] G. K. Kraetzschmar, G. Pagès Gassull, and K. Uhl, “Probabilistic quadtrees
for variable-resolution mapping of large environments,” in Proceedings of
the 5th IFAC/EURON Symposium on Intelligent Autonomous Vehicles, M. I.
Ribeiro and J. Santos Victor, Eds., July 2004. [Online]. Available:
http://smart.informatik.uni-ulm.de/PUBLICATIONS/
[107] M. Montemerlo and S. Thrun, “A multi-resolution pyramid for outdoor
robot terrain perception,” in Proceedings of the AAAI National Conference on
Artificial Intelligence. San Jose, CA: AAAI, 2004. [Online]. Available:
http://robots.stanford.edu/papers/Montemerlo04a.html
[108] J. Leal, “Stochastic environment representation,” Ph.D. dissertation, The
University of Sydney, January 2003. [Online]. Available: http://www.acfr.usyd.
edu.au/projects/research/environment-rep/stoch-repres/
[109] J. Leal, S. Scheding, and G. Dissanayake, “Probabilistic 2d mapping
in unstructured environments,” in Proceedings of the Australian Conference
on Robotics and Automation, Melbourne, Australia, August 2000, pp.
19–24. [Online]. Available: http://www.acfr.usyd.edu.au/projects/research/
environment-rep/stoch-repres/
[110] T. Bailey, “Mobile robot localisation and mapping in extensive outdoor
environments,” Ph.D. dissertation, Australian Centre for Field Robotics,
University of Sydney, Agust 2002. [Online]. Available: http://www.acfr.usyd.
edu.au/homepages/postgrads/tbailey/
[111] P. Biber, S. Fleck, and W. Straßer, “A probabilistic framework for robust and
accurate matching of point clouds,” in 26th Pattern Recognition Symposium
(DAGM 04), 2004. [Online]. Available: http://www.gris.uni-tuebingen.de/
publics/staff/Peter_Biber.html
[112] C.-C. Wang and C. Thorpe, “A hierarchical object based representation for
simultaneous localization and mapping,” in IEEE/RSJ International Conference
on Intelligent Robots and Systems (IROS), September 2004. [Online]. Available:
http://www.ri.cmu.edu/pubs/pub_4721.html
[113] Y. Bar-Shalom and T. E. Fortmann, Tracking and Data Association. Academic
Press, 1988.
[114] Y. Bar-Shalom and X. R. Li, Multitarget-Multisensor Tracking: Principles and
Techniques. YBS Publishing, 1995.
[115] P. Besl and N. McKay, “A method for registration of 3-d shapes,” IEEE
Transaction on Pattern Analysis And Machine Intelligence, vol. 14, no. 2, pp.
239–25, February 1992. [Online]. Available: http://csdl.computer.org/comp/
trans/tp/1992/02/i0239abs.htm
[116] Z. Zhang, “Iterative point matching for registration of free-form curves,”
INRIA-Sophia Antipolis, Tech. Rep. RR-1658, April 1992, equipe :
ROBOTVIS. [Online]. Available: http://www.inria.fr/rrrt/rr-1658.html
[117] S. Rusinkiewicz and M. Levoy, “Efficient variants of the icp algorithm,”
in Third International Conference on 3D Digital Imaging and Modeling, 2001.
[Online]. Available: http://graphics.stanford.edu/papers/fasticp/
[118] A. Fitzgibbon, “Robust registration of 2d and 3d point sets,” in The British
Machine Vision Conference, 2001. [Online]. Available: http://www.robots.ox.
ac.uk/~awf/lmicp/
[119] D. Haehnel, “Mapping with mobile robots,” Ph.D. dissertation, Fakultät für
Angewandte Wissenschaften, Universität Freiburg, December 2004. [Online].
Available: http://www.informatik.uni-freiburg.de/~haehnel/
[120] J. Nieto, T. Bailey, and E. Nebot, “Scan-slam: Combining ekf-slam and scan
correlation,” Australian Centre for Field Robotics, Tech. Rep., 2004, presented
at the ICRA’2005 - Workshop W-M08 - Simultaneous Localisation and
Mapping Monday 18 April, 2005 (Full Day Workshop). [Online]. Available:
http://www.acfr.usyd.edu.au/homepages/academic/tbailey/index.html
[121] P. Biber and W. Straßer, “The normal distributions transform: A new approach
to laser scan matching,” in IEEE/RJS International Conference on Intelligent
Robots and Systems, 2003. [Online]. Available: http://www.gris.uni-tuebingen.
de/publics/staff/Peter_Biber.html
[122] D. Haehnel, S. Thrun, and W. Burgard, “An extension of the icp algorithm
for modeling nonrigid objects with mobile robots,” in Proceedings of
the International Joint Conference on Artificial Intelligence, 2003. [Online].
Available: http://www.informatik.uni-freiburg.de/~haehnel/
[123] R. Smith, M. Self, and P. Cheeseman, “A stochastic map for uncertain
spatial relationships,” SRI, Tech. Rep., 1995. [Online]. Available: http:
//www.riacs.edu/navroot/Research/General.jsp
[124] F. Lu and E. Milios, “Globally consistent range scan alignment for environment
mapping,” Autonomous Robots, vol. 4, pp. 333–349, 1997. [Online]. Available:
http://citeseer.csail.mit.edu/lu97globally.html
[125] A. Stroupe, M. C. Martin, and T. Balch, “Merging probabilistic observations
for mobile distributed sensing,” Robotics Institute, Carnegie Mellon University,
Pittsburgh, PA, Tech. Rep. CMU-RI-TR-00-30, December 2000. [Online].
Available: http://www.ri.cmu.edu/pubs/pub_3499.html
[126] D. Fox, J. Hightower, L. Liao, D. Schulz, and G. Borriello, “Bayesian
filtering for location estimation,” IEEE Pervasive Computing, vol. 2, no. 3, pp.
24–33, July-September 2003. [Online]. Available: http://seattle.intel-research.
net/people/jhightower/pubs.html
[127] D. Fox, J. Hightower, H. Kautz, L. Liao, and D. Patterson, “Bayesian techniques
for location estimation,” in Proceedings of The 2003 Workshop on Location-
Aware Computing, October 2003, pp. 16–18, part of the 2003 Ubiquitous
Computing Conference. [Online]. Available: http://seattle.intel-research.net/
people/jhightower/pubs.html
[128] J. Gutmann, W. Burgard, D. Fox, and K. Konolige, “An experimental
comparison of localization methods,” in Proceedings of the IEEE/RSJ International
Conference on Intelligent Robots and Systems (IROS), 1998. [Online].
Available: http://citeseer.ist.psu.edu/article/gutmann98experimental.html
[129] J. Gutmann and D. S. Fox, “An experimental comparison of localization
methods continued,” in Proceedings of the IEEE/RSJ International Conference
on Intelligent Robots and Systems, 2002. [Online]. Available: http://www.
informatik.uni-freiburg.de/~gutmann/
[130] P. Biber and T. Duckett, “Dynamic maps for long-term operation of mobile
service robots,” in Robotics: Science and Systems, June 2005. [Online].
Available: http://www.gris.uni-tuebingen.de/~biber
[131] A. Howard and N. Roy, “The robotics data set repository (radish),” 2005.
[Online]. Available: http://radish.sourceforge.net/
[132] “Openslam website,” 2007. [Online]. Available: http://openslam.org/
[133] R. Smith and P. Cheeseman, “On the representation and estimation of spatial
uncertainty,” SRI Robotics Lab, Tech. Rep., 1985.
[134] U. Frese, “A discussion of simultaneous localization and mapping,”
Autonomous Robots, vol. 20, no. 1, pp. 25–42, 2006. [Online]. Available:
http://www.informatik.uni-bremen.de/agbkb/publikationen/bibsearch/
detail_e.htm?pk_int=1646
[135] M. Montemerlo, “Fastslam: A factored solution to the simultaneous
localization and mapping problem with unknown data association,” doctoral
dissertation, tech. report CMU-RI-TR-03-28, Robotics Institute, Carnegie
Mellon University, July 2003. [Online]. Available: http://www.ri.cmu.edu/
people/montemerlo_michael.html
[136] J. Castellanos, J. Neira, and J. Tardos, “Limits to the consistency of
ekf-based slam,” in 5th IFAC Symposium on Intelligent Autonomous Vehicles,
IAV’04, Lisbon, Portugal, July 2004. [Online]. Available: http://webdiis.unizar.
es/%7Ejdtardos/
[137] S. Julier and J. Uhlman, “A counter example to the theory of simultaneous
localisation and map building,” in IEEE International Conference on Robots
and Automation, Seoul, South Korea, October 2001. [Online]. Available:
http://132.250.128.5/vrlab/
[138] T. Bailey, J. Nieto, J. Guivant, M. Stevens, and E. Nebot, “Consistency of the
ekf-slam algorithm,” 2005, -. [Online]. Available: http://www.acfr.usyd.edu.au/
homepages/academic/tbailey/
[139] A. S. J. Andrade, T. Alejandra Vidal, “Unscented transformation of
vehicle states in slam,” in Proceedings of the IEEE International Conference on
Robotics and Automation, Barcelona, Spain, April 2005. [Online]. Available:
http://www-iri.upc.es/groups/lrobots/publications.html
[140] J. J. Leonard and H. J. S. Feder, “Decoupled stochastic mapping,” IEEE Journal
of Oceanic Engineering, vol. -, pp. 561–571, October 2001. [Online]. Available:
http://albacore.mit.edu/~jleonard/pubs/
[141] J. Knight, A. J. Davison, and I. Reid, “Constant time slam using
postponement (pdf format)„” in Proceedings of the IEEE/RSJ International
Conference on Intelligent Robots and Systems, 2001. [Online]. Available:
http://www.doc.ic.ac.uk/~ajd/publications.html
[142] W. SB, D. G, and D.-W. HF, “An efficient approach to the simultaneous
localisation and mapping problem,” in Proceedings of the IEEE International
Conference on Robotics and Automation, vol. 1, February 2002, pp. 406–411.
[Online]. Available: http://www.acfr.usyd.edu.au/
[143] J. Guivant and E. Nebot, “Improving computational and memory requirements
of simultaneous localization and map building algorithms,” in Proceedings of
the IEEE International Conference on Robotics & Automation,Washington DC,
USA, May 2002, pp. 2731–2736. [Online]. Available: http://robot.anu.edu.au/
~david/slam2004/
[144] S. Julier and J. Uhlmann, “Using multiple slam algorithms,” in International
Conference on Intelligent Robots and Systems, Las Vegas, Nevada, October
2003.
[145] M. C. Bosse, P. M. Newman, J. J. Leonard, and S. Teller, “Slam in large-scale
cyclic environments using the atlas framework.” The International Journal of
Robotics Research, vol. 23, no. 12, pp. 1113–1139, 2004. [Online]. Available:
http://albacore.mit.edu/~jleonard/pubs/
[146] C. Estrada, J. Neira, and J. Tardos, “Hierarchical slam: real-time accurate
mapping of large environments,” 2005, to appear on IEEE Transactions on
Robotics. [Online]. Available: http://webdiis.unizar.es/~cestrada
[147] R. Eustice, H. Singh, and J. Leonard, “Exactly sparse delayed-state filters,”
in Proceedings of the 2005 IEEE International Conference on Robotics and
Automation, Barcelona, Spain, April 2005, pp. 2428–2435, best Student Paper
Award. [Online]. Available: http://www.whoi.edu/hpb/viewPage.do?id=1160\
&cl=3
[148] S. Thrun, Y. Liu, D. Koller, A. Ng, Z. Ghahramani, and H. Durrant-Whyte,
“Simultaneous localization and mapping with sparse extended information
filters,” International Journal of Robotics Research, vol. 23, pp. 693–716, 2004,
to Appear. [Online]. Available: http://robots.stanford.edu/papers/thrun.seif.html
[149] M. A. Paskin, “Thin junction tree filters for simultaneous localization and
mapping,” in Proceedings of the Eighteenth International Joint Conference on
Artificial Intelligence. San Francisco, CA: G. Gottlob and T. Walsh, 2003, pp.
1157–1164, this paper won a Distinguished Paper Award. [Online]. Available:
http://paskin.org
[150] Z. Wang, S. Huang, and G. Dissanayake, “Implementation issues and exp
erimental evaluation of d-slam,” in The 5th International Conference on Field
and Service Robotics, Port Douglas, Australia, July 2005. [Online]. Available:
http://services.eng.uts.edu.au/~sdhuang/
[151] K. Konolige, “Large-scale map-making,” in Proceedings of the National
Conference on AI (AAAI), San Jose, CA, 2004. [Online]. Available: http:
//www.ai.sri.com/~konolige/slam.htm#Kon04
[152] T. Duckett, S. Marsland, and J. Shapiro, “Learning globally consistent maps by
relaxation,” in Proceedings of the IEEE International Conference on Robotics
and Automation (ICRA’2000), San Francisco, CA, 2000. [Online]. Available:
http://aass.oru.se/~tdt/Papers/icra00.html
[153] U. Frese, P. Larsson, and T. Duckett, “A multilevel relaxation algorithm
for simultaneous localisation and mapping,” IEEE Transactions on Robotics,
vol. 21, no. 2, pp. 196–207, April 2005. [Online]. Available: http:
//www.informatik.uni-bremen.de/~ufrese/slammlr_e.html
[154] M. Bray, E. Koller-Meier, N. Schraudolph, and L. V. Gool, “Stochastic metadescent
for tracking articulated structures,” in Proceedings of the Conference on
Computer Vision and Pattern Recognition (CVPR), 2004.
[155] G. Grisetti, C. Stachniss, S. Grzonka, and W. Burgard, “A tree parameterization
for efficiently computing maximum likelihood maps using gradient descent,”
in Robotics: Science and Systems (RSS), Atlanta, GA, USA, 2007. [Online].
Available: http://www.informatik.uni-freiburg.de/~stachnis/pdf/grisetti07rss.
pdf
[156] E. Olson, J. Leonard, and S. Teller, “Fast iterative optimization of pose graphs
with poor initial estimates,” in Proceedings of the IEEE International Conference
on Robotics and Automation (ICRA), 2006, pp. 2262–2269. [Online].
Available: http://rvsn.csail.mit.edu/graphoptim/eolson-graphoptim2006.pdf
[157] E. Olson, J. J. Leonard, and S. J. Teller, “Spatially-adaptive learning rates
for online incremental slam.” in Proceedings of Robotics: Science and Systems,
W. Burgard, O. Brock, and C. Stachniss, Eds. Atlanta, GA, USA: The
MIT Press, June 2007. [Online]. Available: http://rvsn.csail.mit.edu/eolson/
graphincr/eolson_graph_incr_2007.pdf
[158] D. Hähnel, W. Burgard, B. Wegbreit, and S. Thrun, “Towards lazy data
association in SLAM,” in Proceedings of the 11th International Symposium
of Robotics Research (ISRR’03). Sienna, Italy: Springer, 2003. [Online].
Available: http://robots.stanford.edu/papers/Haehnel03c.html
[159] S. Thrun, “A probabilistic online mapping algorithm for teams of mobile robots,”
International Journal of Robotics Research, vol. 20, no. 5, pp. 335–363, 2001.
[Online]. Available: http://robots.stanford.edu/papers/thrun.maps-multi.html
[160] S. Thrun, M. Montemerlo, D. Koller, B. Wegbreit, J. Nieto, and E. Nebot,
“Fastslam: An efficient solution to the simultaneous localization and mapping
problem with unknown data association,” Journal of Machine Learning
Research, vol. to appear, p. to appear, 2004, to appear. [Online]. Available:
http://robots.stanford.edu/papers/Thrun03g.html
[161] Hähnel, D., Fox, D., W. Burgard, and S. Thrun, “A highly efficient
FastSLAM algorithm for generating cyclic maps of large-scale environments
from raw laser range measurements,” in Proceedings of the Conference
on Intelligent Robots and Systems (IROS), 2003. [Online]. Available: http:
//robots.stanford.edu/papers/Haehnel03b.html
[162] A. Eliazar and R. Parr, “Dp-slam 2.0,” in IEEE International Conference on
Robotics and Automation, 2004. [Online]. Available: http://www.cs.duke.edu/
~parr/dpslam/
[163] D. Schulz, W. Burgard, D. Fox, and A. Cremers, “Tracking multiple
moving objects with a mobile robot,” in Proceedings of the IEEE Computer
Society Conference on Computer Vision and Pattern Recognition (CVPR), 2001.
[Online]. Available: http://www.informatik.uni-bonn.de/~rhino/publications/
abstracts/cvpr01.html
[164] L. Montesano, J. Minguez, and L. Montano, “Modeling the static
and the dynamic parts of the environment to improve sensor-based
navigation,” in Proceedings of the IEEE International Conference on Robotics
and Automation (ICRA), Barcelona, Spain, 2005. [Online]. Available: http:
//webdiis.unizar.es/~jminguez
[165] C.-C. Wang and C. Thorpe, “Simultaneous localization and mapping
with detection and tracking of moving objects,” in Proceedings of the IEEE
International Conference on Robotics and Automation (ICRA),Washington, DC,
May 2002. [Online]. Available: http://www.acfr.usyd.edu.au/people/academic/
bobwang/Papers/wang_icra02.html
[166] D. Hähnel, R. Triebel, W. Burgard, and S. Thrun., “Map building with
mobile robots in dynamic environments.” in In Proc. of the IEEE International
Conference on Robotics and Automation (ICRA), 2003. [Online]. Available:
http://www.informatik.uni-freiburg.de/~haehnel/
[167] D. F. Wolf and G. S. Sukhatme, “Mobile robot simultaneous localization and
mapping in dynamic environments,” Autonomous Robots, vol. 19, no. 1, pp.
53–65, July 2005. [Online]. Available: http://www-robotics.usc.edu/~gaurav/
Papers/publications.php
[168] N. Kaempchen and K. Dietmayer, “Imm vehicle tracking for traffic jam
situations on highways,” in Proceedings of 7th International Conference on
Information Fusion, Stockholm, Sweden, June 2004. [Online]. Available:
http://www.argos.uni-ulm.de
[169] H. M., M. H., and J. A., “Imm-jvc and imm-jpdaf algorithms for closely
maneuvering targets,” in Proceedings of the 36th Asilomar Conference on
Signals, Systems, and Computers, Pacific Grove, CA, USA, November 2001,
pp. 1278–1282. [Online]. Available: http://www.cim.mcgill.ca/~melita/
[170] C. Rasmussen and G. D. Hager, “Probabilistic data association methods for
tracking complex visual objects,” IEEE Transactions on Pattern Analysis and
Machine Intelligence, vol. 23, no. 6, pp. 560–576, June 2001. [Online].
Available: http://www.cs.jhu.edu/~hager/Public/Publications/
[171] C. Hue, J.-P. Le Cadre, and P. Pérez, “Tracking multiple objects with
particle filtering,” IEEE Transactions on Aerospace and Electronic Systems,
vol. 38, no. 3, pp. 791–812, July 2002. [Online]. Available: http:
//www.irisa.fr/vista/Publis/Publi/Hue02d.html
[172] D. Schulz, W. Burgard, D. Fox, and A. Cremers, “People tracking with a
mobile robot using sample-based joint probabilistic data association filters,”
International Journal of Robotics Research (IJRR), vol. 22, no. 2, pp. 99–116,
2003. [Online]. Available: http://www.informatik.uni-freiburg.de/~burgard/
abstracts/people-tracking-ijrr-03.abstract.html
[173] K. C. Fuerstenberg, D. T. Linzmeier, and K. C. Dietmayer, “Pedestrian
recognition and tracking of vehicles using a vehicle based multilayer
laserscanner,” in Proceedings of the 10th World Congress on Intelligent Transport
Systems (ITS), Madrid, Spain, November 2003. [Online]. Available:
http://www.argos.uni-ulm.de/
[174] B. Kluge, C. Koehler, and E. Prassler, “Fast and robust tracking of
multiple moving objects with a laser range finder,” in IEEE Proceedings of
the International Conference on Robotics and Automation, Seoul, May 2001.
[Online]. Available: http://www.informatik.uni-freiburg.de/~ckoehler/
[175] D. Hähnel, D. Schulz, and W. Burgard, “Map building with mobile robots
in populated environments,” in Proceedings of the IEEE/RSJ International
Conference on Intelligent Robots and Systems (IROS), 2002. [Online]. Available:
http://www.informatik.uni-freiburg.de/~burgard/abstracts/haehnel-iros02.html
[176] C.-C. Wang, C. Thorpe, and A. Suppe, “Ladar-based detection and tracking
of moving objects from a ground vehicle at high speeds,” in Proceedings
of the IEEE Intelligent Vehicles Symposium, Columbus, OH, June 2003.
[Online]. Available: http://www.acfr.usyd.edu.au/people/academic/bobwang/
Papers/wang_iv03.html
[177] C. Schlenoff, “Linking sensed images to an ontology of obstacles to aid in
autonomous driving,” in Proceedings of the AAAI. Workshop on Ontologies and
the Semantic Web, no. 550, Edmonton, Canada, July - August 2002. [Online].
Available: http://www.isd.mel.nist.gov/documents/publist.htm
[178] A. D. Vasquez Gomea, F. Large, T. Fraichard, and C. Laugier, “Moving
obstacles’ motion prediction for autonomous navigation,” in Proc. of the
Int. Conf. on Control, Automation, Robotics and Vision, Kunming, China,
December 2004. [Online]. Available: http://emotion.inrialpes.fr/bibemotion/
2004/VLFL04a
[179] Project-team e-motion, “Geometry and probability for motion and action,
e-motion research project activity reports,” INRIA Rh?ne-Alpes Research Unit,
Tech. Rep., 2004. [Online]. Available: http://www.inria.fr/rapportsactivite/
RA2004/e-motion2004/e-motion_tf.html
[180] M. Bennewitz, W. Burgard, and S. Thrun, “Using EM to learn motion behaviors
of persons with mobile robots,” in Proceedings of the Conference on Intelligent
Robots and Systems (IROS), Lausanne, Switzerland, 2002. [Online]. Available:
http://robots.stanford.edu/papers/bennewitz.02iros.html
[181] L. Liao, D. Fox, and H. Kautz, “Learning and inferring transportation
routines.” in Proceedings of the National Conference on Artificial Intelligence,
2004. [Online]. Available: http://www.cs.washington.edu/ai/Mobile_Robotics/
abstracts/gps-aaai-04.abstract.html
[182] S. Thrun, W. Burgard, and D. Fox, Probabilistic Robotics (Intelligent Robotics
and Autonomous Agents), R. C. Arkin, Ed. MIT Press, September 2005.
[Online]. Available: http://mitpress.mit.edu/catalog/item/default.asp?ttype=2\
&tid=10668
[183] W. Zhang and J. Kosecka, “Image based localization in urban environments,” International
Symposium on 3D Data Processing, Visualization and Transmission,
vol. 0, pp. 33–40, 2006.
[184] B. Ferris, D. Fox, and N. Lawrence, “Wifi-slam using gaussian process
latent variable models,” in Proc. of the International Joint Conference on
Artificial Intelligence (IJCAI), 2007, 2007. [Online]. Available: http://www.cs.
washington.edu/homes/fox/abstracts/gplvm-wifi-slam-ijcai-07.abstract.html
[185] M. Magnusson, T. Duckett, R. Elsrud, and L.-E. Skagerlund, “3d modelling for
underground mining vehicles,” in SimSafe 2005, Proceedings of the Conference
on Modeling and Simulation for Public Safety, 2005. [Online]. Available:
http://aass.oru.se/~mmn/
[186] A. Censi, “An accurate closed-form estimate of ICP’s covariance,” in
Proceedings of the IEEE International Conference on Robotics and Automation
(ICRA), Rome, Italy, April 2007, pp. 3167–3172. [Online]. Available:
http://purl.org/censi/2006/icpcov
[187] A. Broggi, “Robust real-time lane and road detection in critical shadow
conditions,” in Proceedings IEEE International Symposium on Computer Vision.
Coral Gables, Florida, USA: IEEE Computer Society, November 1995.
[Online]. Available: http://www.ce.unipr.it/people/broggi
[188] D. Hoiem, “Seeing the world behind the image: Spatial layout for 3d
scene understanding,” Ph.D. dissertation, Robotics Institute, Carnegie Mellon
University, August 2007. [Online]. Available: http://www.cs.cmu.edu/~dhoiem/
[189] G. Dubbelman, W. van der Mark, J. C. van den Heuvel, and F. C. Groen, “Obstacle
detection during day and night conditions using stereo vision,” in Proceedings
of the IEEE/RSJ International Conference on Intelligent Robots and
Systems, San Diego, CA, USA, October 2007.
[190] M. Okutomi and S. Noguchi, “Extraction of road region using stereo images,” in
Proceedings of International Conference on Pattern Recognition, vol. 1, August
1998, pp. 853–856. [Online]. Available: http://www.ok.ctrl.titech.ac.jp/res/
RSU.html
[191] V. N. Vapnik, The Nature of Statistical Learning Theory, ser. Computational
learning theory. Springer, 2000.
[192] N. Lawrence, J. Platt, and M. Jordan, “Extensions of the informative vector
machine,” in Proc. Sheffield Machine Learning Workshop,, ser. Springer Lecture
Notes on Computer Science, 2005.
[193] M. Tipping, “Sparse bayesian learning and the relevance vector machine,”
Journal of Machine Learning Research, vol. 1, pp. 211–244, 2001. [Online].
Available: http://www.miketipping.com/index.php?page=rvm
[194] R. Herbrich, Learning Kernel Classifiers. The MIT Press, 2002. [Online].
Available: http://www.learning-kernel-classifiers.org/
[195] A. Saxena, S. H. Chung, and A. Y. Ng, “3-d depth reconstruction from a single
still image,” International Journal of Computer Vision (IJCV), August 2007.
[Online]. Available: http://make3d.stanford.edu/publications.html
[196] S. Bileschi, “Object detection at multiple scales improves accuracy,” in 19th
International Conference on Pattern Recognition (ICPR), Tampa, FL, USA,
2008, pp. 1–5. [Online]. Available: http://cbcl.mit.edu
[197] S. Petti and T. Fraichard, “Reactive planning under uncertainty among moving
obstacles,” in Proc. of the Int. Symp. on Robotics, 2005. [Online]. Available:
http://hal.inria.fr/inria-00182044/
[198] “Google earth website,” 2007. [Online]. Available: http://earth.google.com/
[199] O. Mehani, R. Benenson, S. Lemaignan, and T. Ernst, “Networking
needs and solutions for road vehicles at imara,” in Proceedings of the 7th
International Conference on Intelligent Transport Systems Telecommunications,
2007. [Online]. Available: http://hal.inria.fr/inria-00147286/
[200] S. M. LaValle, Planning Algorithms. Cambridge University Press, 2006.
[Online]. Available: http://planning.cs.uiuc.edu/
[201] R. Philippsen, S. Kolski, K. Macek, and R. Siegwart, “Path planning, replanning,
and execution for autonomous driving in urban and offroad environments,”
in Proceedings of the Workshop on Planning, Perception and Navigation for
Intelligent Vehicles at the IEEE International Conference on Robotics and Automation,
Rome, Italy, April 2007.
[202] D. Ferguson and A. Stentz, “Anytime, dynamic planning in high-dimensional
search spaces,” in Proc. IEEE International Conference on Robotics and
Automation (ICRA), Rome, Italy, 2007. [Online]. Available: http://pittsburgh.
intel-research.net/~dfergus1/
[203] J. van den Berg, “Path planning in dynamic environments,” Ph.D.
dissertation, Utrecht University, The Netherlands, 2007. [Online]. Available:
http://www.cs.unc.edu/~berg/
[204] S. J. Russell and P. Norvig, Artificial Intelligence: A Modern Approach, 1st ed.
Prentice Hall, 1995.
[205] H. Daumé and D. Marcu, “Learning as search optimization: approximate large
margin methods for structured prediction,” in Proceedings of the 22nd international
conference on Machine learning, ser. ACM International Conference
Proceeding, vol. 119, Bonn, Germany, 2005, pp. 169 – 176.
[206] P. S. and F. T., “Safe navigation of a car-like robot in a dynamic environment,”
in Proc. of the European Conf. on Mobile Robots, Ancona, Italy, 2005. [Online].
Available: http://hal.inria.fr/inria-00182047
[207] J. A. Reeds and L. A. Shepp, “Optimal paths for a car that goes both forwards
and backwards,” Pacific Journal of Mathematics, vol. 145, no. 2, pp. 367–393,
1990. [Online]. Available: http://www.dtc.umn.edu/~reedsj
[208] A. Scheuer and T. Fraichard, “Planning continuous-curvature paths for car-like
robots,” in Proc. of the IEEE-RSJ Int. Conf. on Intelligent Robots and Systems,
vol. 3, Osaka, Japan, November 1996, pp. 1304 – 1311. [Online]. Available:
http://citeseer.ist.psu.edu/scheuer96planning.html
[209] P. R. S. Benhimane, E. Malis and J. R. Azinheira, “Vision-based control
for car platooning using homography decomposition,” in IEEE International
Conference on Robotics and Automation, Barcelona, Spain, April 2005, pp.
2173–2178. [Online]. Available: http://www-sop.inria.fr/icare/personnel/malis/
[210] J. Lu, S. Sakhavat, X. Ming, and C. Laugier, “Sliding mode control for
nonholonomic mobile robot,” in Proceedings of the International Conference on
Control, Automation, Robotics and Vision, ICARCV, 2000. [Online]. Available:
ftp://ftp.inrialpes.fr/pub/emotion/sharp-publications/
[211] B. Thuilot, J. Bom, F. Marmoiton, and P. Martinet, “Accurate automatic guidance
of an urban electric vehicle relying on a kinematic gps sensor,” in Proceedings
of the 5th IFAC Symposium on Intelligent Autonomous Vehicles, Lisboa,
Portugal, July 2004.
[212] J. Bom, B. Thuilot, F. Marmoiton, and P. Martinet, “Nonlinear control for urban
vehicles platooning, relying upon a unique kinematic gps,” in Proceedings of the
2005 IEEE International Conference on Robotics and Automation, Barcelona,
Spain, April 2005.
[213] A. D. Luca, G. Oriolo, and C. Samson, “Feedback control of a nonholonomic
car-like robot,” in Planning robot motion, J.-P. Laumond, Ed. Berlin,
DE: Springer-Verlag, 1998. [Online]. Available: http://citeseer.ist.psu.edu/
deluca97feedback.html
[214] B. C. C. M. P. Lenain, R. Thuilot, “Model predictive control for vehicle guidance
in presence of sliding: Application to farm vehicles path tracking,” in Proceedings
of the 2005 IEEE International Conference on Robotics and Automation,
ICRA, April 2005, pp. 885 – 890.
[215] INRIA, “Scilab website,” 2008. [Online]. Available: http://www.scilab.org
[216] S. Boissé, R. Benenson, L. Bouraoui, M. Parent, and L. Vlacic,
“Cybernetic transportation systems design and development: Simulation
software cybercars,” in 2007 IEEE International Conference on Robotics and
Automation, Roma, Italy, 2007. [Online]. Available: http://hal.inria.fr/
inria-00126677
[217] C. Pradalier, J. Hermosillo, C. Koike, C. Braillon, P. Bessière, and C. Laugier,
“The cycab: a car-like robot navigating autonomously and safely among
pedestrians,” Robotics and Autonomous Systems, vol. 50, no. 1, pp. 51–68, 2005.
[Online]. Available: http://emotion.inrialpes.fr/bibemotion/2005/PHKBBL05
[218] S. Kolski, D. Ferguson, M. Bellino, and R. Seigwart, “Autonomous
driving in structured and unstructured environments,” in IEEE Intelligent
Vehicles Symposium, June 2006, pp. 558–563. [Online]. Available: http:
//asl.epfl.ch/member.php?SCIPER=164402
[219] P. Martinet, B. Thuilot, and J. Bom, “From autonomous navigation
to platooning in urban context,” in Proceedings of the IARP-Workshop
on Adaptive and Intelligent Robots : Present and Future, vol. 1, no. 1,
Moscou, Russia, November 2005, pp. 1–9. [Online]. Available: http:
//wwwlasmea.univ-bpclermont.fr/Control/index.html
[220] “Dash express automotive navigation system website,” 2007. [Online].
Available: http://dash.net/product.php
[221] A. Howard, G. S. Sukhatme, and M. J. Mataric, “Multi-robot mapping using
manifold representations,” in IEEE International Conference on Robotics and
Automation, New Orleans, Louisiana, April 2004, pp. 4198–4203.
[222] S. Thrun, W. Burgard, and D. Fox, “A real-time algorithm for mobile
robot mapping with applications to multi-robot and 3D mapping,” in
Proceedings of the IEEE International Conference on Robotics and Automation
(ICRA). San Francisco, CA: IEEE, 2000. [Online]. Available: http:
//robots.stanford.edu/papers/thrun.map3d.html
[223] “Robocup, international robot soccer championship,” 2007. [Online]. Available:
http://www.robocup.org/
[224] D. Goehring and H.-D. Burkhard, “Multi robot object tracking and
self localization using visual percept relations,” in IEEE/RSJ International
Conference on Intelligent Robots and Systems (IROS), 2006. [Online]. Available:
http://www.aiboteamhumboldt.com/
[225] D. Fox, J. Ko, K. Konolige, B. Limketkai, D. Schulz, and B. Stewart,
“Distributed multirobot exploration and mapping,” in Proceedings of the IEEE,
vol. 94, no. 7, July 2006, pp. 1325– 1339. [Online]. Available: http://www.cs.
washington.edu/homes/fox/abstracts/multi-exploration-ieee-06.abstract.html
[226] L. Chaimowicz, A. Cowley, D. Gomez-Ibanez, B. Grocholsky, M. A.
Hsieh, H. Hsu, J. F. Keller, V. Kumar, R. Swaminathan, and C. J.
Taylor, “Deploying air-ground multirobot teams in urban environments,”
in Multirobot Workshop, Washington DC, 2005. [Online]. Available: http:
//www.cis.upenn.edu/~kumar/mars2020/
[227] R. Regele and P. Levi, “Cooperative multi-robot path planning by heuristic priority
adjustment,” in IEEE/RSJ International Conference on Intelligent Robots
and Systems, October 2006, pp. 5954–5959.
[228] N. Karam, F. Chausse, R. Aufrere, and R. Chapuis, “Localization of a group of
communicating vehicles by state exchange,” in IEEE/RSJ International Conference
on Intelligent Robots and Systems, October 2006, pp. 519–524.
[229] S. Bonnabel, “Left-invariant extended kalman filter and attitude estimation,”
in IEEE Conference on Decision and Control, 2007. [Online]. Available:
http://www.silvere-bonnabel.com
[230] J. Ko, Y. Kim, W. Kang, and J. Lee, “Robust electric compass
to dynamic magnetic field interference,” in Proceedings of the International
Conference on Control, Automation and Systems, August 2004.
[Online]. Available: http://robotics.ee.pusan.ac.kr/Pdf/Robust%20Electric%
20Compass%20to%20Dynamic%20Magnetic%20Field%20Interference.pdf
[231] B. Leibe, N. Cornelis, K. Cornelis, and L. V. Gool, “Dynamic 3d scene analysis
from a moving vehicle,” in Proceedings of the IEEE CVPR International
Conference on Computer Vision and Pattern Recognition, June 2007. [Online].
Available: http://www.vision.ee.ethz.ch/~bleibe/cvpr07/
[232] A. Seki and M. Okutomi, “Robust obstacle detection in general road environment
based on road extraction and pose estimation,” in Proceedings of the IEEE
Intelligent Vehicles Symposium, June 2006, pp. 437–444.
[233] A. J. Davison, I. D. Reid, N. D. Molton, and O. Stasse, “Monoslam:
Real-time single camera slam,” IEEE Transaction on Pattern Analysis And
Machine Intelligence, vol. 29, no. 6, pp. 1052–1067, June 2007. [Online].
Available: http://www.doc.ic.ac.uk/~ajd/
[234] J. Hawkins, On Intelligence. Henry Holt & Company, 2004. [Online].
Available: http://www.onintelligence.org/
Administrateurs de l'archive uniquement : éditer cet enregistrement