A quantitative method for comparing trajectories of mobile robots using Point Distribution Models

IEEE International Conference on Intelligent Robots and Systems

Volumn , Issue , 2007, Pages 2441-2448

  Roduit, Pierre ^a   Martinoli, Alcherio ^b   Jacot, Jacques ^c  

^a EPFL   (Switzerland)

^b Swarm Intelligent Systems Group

^c Laboratoire de Production Microtechnique

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER NETWORKS; INTELLIGENT ROBOTS; INTELLIGENT SYSTEMS; KETONES; NAVIGATION; ROBOTICS;

INTERNATIONAL CONFERENCES; POINT DISTRIBUTION MODELING; TRAJECTORY ANALYSIS;

TRAJECTORIES;

EID: 51349152176     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IROS.2007.4399126     Document Type: Conference Paper

References (18)

1. U. Nehmzov, "Quantitative analysis of robot-environment interaction towards "scientific mobile robotics"," Robotics and Autonomous Systems, vol. 44, pp. 55-68, 2003.
2. T. Smithers, "On quantitative performance measures of robot behaviour," Robotics and Autonomous Systems, vol. 15, pp. 107-133, 1995.
3. F. Porikli, "Trajectory distance metric using hidden markov model based representation," in Proceedings of IEEE European Conference on Computer Vision (ECCV), (Prague), Workshop on PETS, 2004.
4. F. Porikli, "Learning object trajectory patterns by spectral clustering," vol. 2, pp. 1171-1174, IEEE Conference on Multimedia and Expo, IEEE, June 2004.
5. C. Sas, G. O'Hare, and R. Reilly, "Virtual environment trajectory analysis: a basis for navigational assistance and scene adaptivity," Future Generation Computer Systems, vol. 21 (7), pp. 1157-1166, Jul 2005.
6. T Cootes, C. Taylor, and D. Cooper, "Active shape-models - their training and applications," Vision and Image Understanding, pp. 38-59, 1995.
7. Y. L. de Meneses, P. Roduit, F Luisier, and J. Jacot, "Trajectory analysis for sport and video surveillance," Electronic Letters on Computer Vision and Image Analysis, vol. 5, no. 3, pp. 148-156, 2005.
8. P. Roduit, A. Martinoli, and J. Jacot, "Behavioral analysis of mobile robot trajectories using a point distribution model," in SAB06, LNAI, vol. 4095, pp. 816 - 827, Springer-Verlag, 2006.
9. J. Jackson, "Principal components and factor analysis: part 1," Journal of Quality Technology, vol. 12, pp. 201-213, October 1980.
10. R. A. Fisher, "The use of multiple measurements in taxonomic problems," Annals of Eugenics, vol. 7, pp. 179 - 188, 1936.
11. M. Belkin and P. Niyogi, "Laplacian eigenmaps for dimensionality reduction and data representation," Neural Computation, vol. 15, no. 6, pp. 1373 - 1396, 2002.
12. L. K. Saul and S. T. Roweis, "Think globally, fit locally: Unsupervised learning of low dimensional manifolds," Journal of Machine Learning Research, vol. 4, pp. 119 - 155, 2003.
13. H. Hotelling, "The generalization of student's ratio," Annals of Mathematical Statistics, vol. 2, pp. 360-378, 1931.
14. "www.e-puck.org."
15. N. Correll, G. Sempo, Y. L. de Meneses, J. Halloy, J.-L. Deneubourg, and A. Martinoli, "A tracking tool for multi-unit robotic and biological systems.," in IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 2185 - 2191, October 2006.
16. O. Michel, "Webots: Professional mobile robot simulation," Journal of Advanced Robotics Systems, vol. 1, no. 1, pp. 29-42, 2004.
17. A. T. Hayes, A. Martinoli, and R. M. Goodman, "Distributed odor source localization," IEEE Sensors Journal, Special Issue in Artificial Olfaction, vol. 2, no. 3, pp. 260-271, 2002.
18. N. Smirnov, 'Table for estimating the goodness of fit of empirical distributions," The Annals of Mathematical Statistics, vol. 19, pp. 279 - 281, Jun. 1948.