Pedestrian detection in transit bus application: Sensing technologies and safety solutions

IEEE Intelligent Vehicles Symposium, Proceedings

Volumn 2005, Issue , 2005, Pages 100-105

  Bu, Fanping ^a,b   Chan, Ching Yao ^a,b  

^a IEEE   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Laser scanner; Pedestrian detection; Radar; Transit bus; Vehicle infrastructure integration

Indexed keywords

LASER SCANNERS; PEDESTRIAN DETECTION; TRANSIT BUS; VEHICLE INFRASTRUCTURE INTEGRATION;

EVALUATION; RADAR; RAPID TRANSIT; RELIABILITY; SENSORS; TESTING;

PEDESTRIAN SAFETY;

EID: 33745938396     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IVS.2005.1505085     Document Type: Conference Paper

References (26)

1. http://www.nhtsa.dot.gov
2. http/www.chp.ca.gov
3. http://www.ots.ca.gov
4. SRF Consulting Group, Inc. "Bicycle and Pedestrian Detection", Mn DOT research report. 2003
5. "NIT Phase II: Evaluation of Non-Intrusive Technologies for Traffic Detection", Mn DOT research report. SRF No. 3683, 2002
6. th Annual Transportation Research Board Meeting: 1998 (Paper No. 980725).
7. D. Noyce anil R. Dharmaraju, "An Evaluation of Technologies for Automated Detection and Classification of Pedestrians and Bicyclists", Massachusetts Highway Department report, 2002
8. P. Knoll, B. Schaefer, H. Guettler, M. Bunse and R. Kallenbach, "Predictive Safety System - Steps Towards Collision Mitigation", SAE Technical Paper, 2004-01-1111, 2004
9. D. Scherrer and R. Burgherr, "Short Range Devices, RFID, Bluetooth, Ultra Wideband Systems and Automotive Short Range Radars: Overview and Latest Development" OFCOM report. 2003
10. D. Gavrila, M. Kunert and U. Lages, " A multi-sensor approach for the protection of vulnerable traffic participants- the PROTECTOR project", IEEE Instrumentation and Measurement Technology Conference, pp. 2044-2048, 2001
11. A. Ewald, V Willhoeft, "Laser Scanners for Obstacle Detection in Automotive Applications", in Proc. of the IEEE Intelligent Vehicles Symposium, pp. 682-687, 2000
12. th EAEC International Congress, June 2003
13. K. C. Fuerstenberg, K. Dietmayer and V. Willhoeft, "Pedestrian Recognition in Urban Traffic using a Vehicle based MulilayerLascrscanner". in Proc. of the IEEE Intelligent Vehicles Symposium, pp. 31-35
14. D. Gavrila and V. Philomin, "Real-Time Object detection for "SMART" Vehicles", in Proc. of IEEE Intl. Conference on Computer Vision, pp. 87-93, 1999
15. L. Zhao, " Stereo-and Neural Network-Based Pedestrian Detection", IEEE Transactions un Intelligent Transportation Systems, Vol. 1,No. 3 pp.148-154, 2000
16. U. Franke and S. Heinrich, "Fast Obstacle Detection for Urban Traffic Situations", IEEE Transactions on Intelligent Transportation Systems, Vol. 3, No. 3 pp. 173-181, 2002
17. http://www.gavrila.net
18. A, Broggi, M. Bertozzi, A. Fascioli and M. Sechi, "Shape-based Pedestrian Detection", in Proc. of IEEE Intelligent Vehicle Symposium, pp. 215-220, 2000
19. A. Shashua, Y. Gdalyahu and G. Hayun, "Pedestrian Detection for Driving Assistance Systems: Single-frame Classification and System Level -Performance" in Proc. of IEEE Intelligent Vehicle Symposium, 2004
20. http://www.mobileye.com
21. P. Lombardi and B. Zavidovique, "A Context-Dependent Vision System for Pedestrian Detection", IEEE Intelligent Vehicle Symposium, pp578-583, 2004
22. D. M. Gavrila. "Sensor-based pedestrain protection", IEEE Intelligent Systems, vol. 6, no. 5, pp. 77-81, 2001
23. F. Xu and K. Fujimura, " Pedestrian Detection and Tracking with Night Vision", in Proc. of IEEE Intelligent Vehicle Symposium, 2002
24. J. Kerridgc, A. Annitage. D. Binnie and L. Lei, "Monitoring the Movement of Pedestrians Using Low-cost Infrared Detectors: Inilial Findings", TRB Annual Meeting, 2004
25. http://world.honda.com/HDTV/IntelligentNightVision/200408/
26. H. Zhao and R. Shibasaki, "A Novel System for Tracking Pedestrians using Multiple Single-row Laser Range Scanners", IEEE Trans. OnSystems. Man and Cybernetics, Vol. 35 No. 2 pp283-291 2005