A Vehicle Detection and Tracking Approach Using Probe Vehicle LIDAR Data
作者： Bin Gao , Benjamin Coifman
DOI: 10.1007/978-3-540-47641-2_66
关键词:
摘要: Detection, identification and tracking of multiple moving targets have important applications in transportation vehicle control areas. In this paper we present our approach to detect, recognize track the vehicles within detection region a probe vehicle, based on data collected by sensors, including LIDAR GPS. This develops methodology group measurements into targets, classify as or fixed objects, vehicular lanes using Kalman-filter. One feature is that all observations world coordinates, allowing us average over many samples ideally runs differentiate between objects (road boundaries) (vehicles).
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sci-hub.st 参考文章(10)
Eli Brookner, Tracking and Kalman Filtering Made Easy ,(1998)
K.Ch. Fuerstenberg, K.C.J. Dietmayer, V. Willhoeft, Pedestrian recognition in urban traffic using a vehicle based multilayer laserscanner Information Visualization. ,vol. 1, pp. 31- 35 ,(2002) , 10.1109/IVS.2002.1187923
M. Sergi, C. Shankwitz, M. Donath, LIDAR-based vehicle tracking for a virtual mirror intelligent vehicles symposium. pp. 333- 338 ,(2003) , 10.1109/IVS.2003.1212932
W.S. Wijesoma, K.R.S. Kodagoda, A.P. Balasuriya, Road-boundary detection and tracking using ladar sensing IEEE Transactions on Robotics and Automation. ,vol. 20, pp. 456- 464 ,(2004) , 10.1109/TRA.2004.825269
A. Mendes, L.C. Bento, U. Nunes, Multi-target detection and tracking with a laser scanner ieee intelligent vehicles symposium. pp. 796- 801 ,(2004) , 10.1109/IVS.2004.1336486
R. Mazl, L. Preucil, Building a 2D environment map from laser range-finder data ieee intelligent vehicles symposium. pp. 290- 295 ,(2000) , 10.1109/IVS.2000.898357
D. Streller, K. Dietmayer, Object tracking and classification using a multiple hypothesis approach ieee intelligent vehicles symposium. pp. 808- 812 ,(2004) , 10.1109/IVS.2004.1336488
D. Streller, K. Furstenberg, K. Dietmayer, Vehicle and object models for robust tracking in traffic scenes using laser range images international conference on intelligent transportation systems. pp. 118- 123 ,(2002) , 10.1109/ITSC.2002.1041199
A. Ewald, V. Willhoeft, Laser scanners for obstacle detection in automotive applications ieee intelligent vehicles symposium. pp. 682- 687 ,(2000) , 10.1109/IVS.2000.898427
J. Sparbert, K. Dietmayer, D. Streller, Lane detection and street type classification using laser range images ieee intelligent transportation systems. pp. 454- 459 ,(2001) , 10.1109/ITSC.2001.948700