A 3D laser and vision based classifier

ISSNIP 2009 - Proceedings of 2009 5th International Conference on Intelligent Sensors, Sensor Networks and Information Processing

Volumn , Issue , 2009, Pages 295-300

  Douillard, Bertrand ^a   Brooks, Alex ^a   Ramos, Fabio ^a  

^a UNIVERSITY OF SYDNEY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

CARTESIAN FRAMES; CLASSIFICATION ALGORITHM; COLOR IMAGERY; CONDITIONAL RANDOM FIELD; ELEVATION MAPS; GRAND CHALLENGE; GROUND MODELS; HIERARCHICAL CLUSTERING ALGORITHMS; IMAGE PLANE; LASER DATA; MAIN COMPONENT; OBJECT CLASSIFICATION; OBJECT MODEL; REGIONS OF INTEREST; RULE BASED SYSTEM; SEGMENTATION PROCEDURE; SEMANTIC CONTENT; VISION BASED;

CLASSIFIERS; CLUSTERING ALGORITHMS; DATA PROCESSING; INTELLIGENT CONTROL; SENSOR NETWORKS; SMART SENSORS;

THREE DIMENSIONAL;

EID: 77950957993     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISSNIP.2009.5416828     Document Type: Conference Paper

References (17)

1. C. U. et al., "Autonomous driving in urban environments: Boss and the urban challenge," Journal of Field Robotics Special Issue on the 2007 DARPA Urban Challenge, Part I, vol.25, no.8, pp. 425-466, June 2008.
2. D. Anguelov and et al., "Discriminative learning of Markov random fields for segmentation of 3D scan data," in Proc. of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), 2005.
3. D. Munoz, N. Vandapel, and M. Hebert, "Directional associative markov network for 3-d point cloud classification," in International Symposium on 3D Data Processing, Visualization and Transmission, 2008.
4. R. Triebel, K. Kersting, and W. Burgard, "Robust 3D scan point classification using associative Markov networks," in Proc. of the IEEE International Conference on Robotics & Automation (ICRA), 2006.
5. I. Posner, M. Cummins, and P. Newman, "Fast probabilistic labeling of city maps," in Proc. of Robotics: Science and Systems, 2008.
6. A. Castano, A. Talukder, and L. Matthies, "Obstacle detection and terrain classification for autonomous off-road navigation," Autonomous Robots, vol.18, pp. 81-102, 2005.
7. C. Rasmussen, "A hybrid vision + ladar rural road follower," in Proc. of the IEEE International Conference on Robotics & Automation (ICRA), 2006.
8. S. T. et al., "Winning the darpa grand challenge," Journal of Field Robotics, 2006.
9. B. Douillard, "Vision and laser based classification in urban environments," Ph.D. dissertation, School of Aerospace and Mechanical Engineering, The University of Sydney, 2009.
10. J. L. et al., "A perception-driven autonomous urban vehicle," Journal of Field Robotics, vol.25, no.10, pp. 727-774, October 2008.
11. J. Friedman, T. Hastie, and R. Tibshirani, "Additive logistic regression: A statistical view of boosting," The Annals of Statistics, vol.28, no.2, 2000.
12. J. Lafferty, A. McCallum, and F. Pereira, "Conditional random fields: Probabilistic models for segmenting and labeling sequence data," in Proc. of the International Conference on Machine Learning (ICML), 2001.
13. O. Duda, P. Hart, and D. Stork, Pattern Classification, 2nd ed. Wiley-Interscience, 2001.
14. M. Schmidt, K. Murphy, G. Fung, and R. Rosales, "Structure learning in random fields for heart motion abnormality detection," in Proc. of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), 2008.
15. A. Johnson and M. Hebert, "Surface matching for object recognition in complex three-dimensional scenes," Image and Vision Computing, vol.16, pp. 635-651, 1998.
16. M. Kazhdan, T. Funkhouser, and S. Rusinkiewicz, "Rotation invariant spherical harmonic representation of 3d shape descriptors," in Proceedings of the 2003 Eurographics/ACM SIGGRAPH symposium on Geometry processing, 2003.
17. C. Kemp, "The acquisition of inductive constraints," Ph.D. dissertation, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, 2007.