Multi-classifier based LIDAR and camera fusion

IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC

Volumn , Issue , 2007, Pages 467-472

  Hwang, Jae Pil ^b   Cho, Seung Eun ^b   Ryu, Kyung Jin ^b   Park, Seungkeun ^b   Kim, Euntai ^a,b  

^a IEEE

^b Yonsei University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

CAMERAS; CHLORINE COMPOUNDS; CLASSIFICATION (OF INFORMATION); CLASSIFIERS; FUSION REACTIONS; INTELLIGENT SYSTEMS; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; LEARNING SYSTEMS; NUCLEAR PHYSICS; OPTICAL RADAR; SENSORS; SUPPORT VECTOR MACHINES; VEHICLE LOCATING SYSTEMS;

HYPOTHESIS GENERATION; HYPOTHESIS VERIFICATION; INTELLIGENT TRANSPORTATION SYSTEMS; LIDAR DATA; MULTI-CLASSIFIER; SENSOR FUSION; SINGLE SENSORS; SVMS CLASSIFIER;

SENSOR DATA FUSION;

EID: 49249128988     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ITSC.2007.4357683     Document Type: Conference Paper

References (14)

1. R. MacLachlan, "Tracking moving objects from a moving vehicle using a laser scanner," CMU-RI-TR-05-07, June 2004.
2. C. Wang, C. Thorpe and A. Suppe, "LADAR-based detection and tracking of moving objects from a ground vehicle at high speeds," Int. Vehicles Symp., 2003 Proc. IEE, June 2003
3. Z. Sun, G. Bebis, R. Miller, "On-road vehicle detection using Gabor Filters and support vector machines", IEEE Proceding DSP 2002, vol. 2, pp 1019-1022.
4. N. Paragios, and R. Deriche, "Geodesic Active Contours and Level Sets for the Detection and Tracking of Moving Objects" IEEE Trans-PAMI, vol. 22, pp 266-280, 2000.
5. S. Beucher, and M. Bilodeau, "Road Segmentation and Obstacle Detection by a Fast Watershed Transformation", Proc. Int. Veh. Symp, pp 296-301, 1994
6. S. Kim, S. Oh J. Kang and Y. Ryu, "Front and rear vehicle detection and tracking in the day and night times using vision and sonar sensor fusion,". IROS 2005 pp. 2173-2178.
7. M. Perrollaz, R. Labayrade, C. Royere, N. Hautiere and Didier Aubert, "Long range obstacle detection using laser scanner and stereovision," Int. Vehicles Symp. 2006, pp 182-187
8. G. Alessandretti, A. Broggi, and P. Cerri, "Vehicle and guard rail detection using radar and vision data fusion," IEEE Trans. ITS, vol 8, pp. 95-105. 2007
9. J. Hwang, K. Rou, S. Park, E. Kim, and H. Kang "PCA based vehicle detection system for ACC," Proc. ICEIC 2006, pp. 98-101.
10. D. A. Forsyth and J. Ponce Computer Vision: a Modern Approach, Prentice Hall, 2002
11. M. Betke, E. Haritaglu and L. Davis, "Multiple vehicle detection and tracking in hard real time," IEEE Intelligent Vehicles Symposium, pp. 351-356, 1996.
12. Yi Liu and Yuan F. Zheng, Soft SVM and Its Application to Video Object Extraction, The Ohio State University
13. OpenCV Library http://opencvlibrary.sourceforge.net
14. T. Joachims, SVMlight Supprot Vector machine, http://www.cs. cornell.edu/People/tj/svm_light/