论文信息 - Track to track fusion method applied to road obstacle detection

Track to track fusion method applied to road obstacle detection

This paper presents a data fusion Kalman based method applied to obstacle detection in road situations. We describe the principle and the implementation of fusion process. It is based on tracks produced separately by single sensors. Results with Infrared and Radar sensors are shown, proving the benefit of this dual approach. Another application with Radar and LIDAR is also illustrated.

C. Blanc | L. Trassoudaine | Y. L. Guilloux | R. Moreira

[1] Y. Bar-Shalom. Tracking and data association , 1988 .

[2] John Hancock. LASER INTENSITY-BASED OBSTACLE DETECTION AND TRACKING , 1999 .

[3] Christoph Stiller,et al. Multisensor obstacle detection and tracking , 2000, Image Vis. Comput..

[4] C. Laurgeau,et al. Fade: a vehicle detection and tracking system featuring monocular color vision and radar data fusion , 2002, Intelligent Vehicle Symposium, 2002. IEEE.

[5] Junbin Gao,et al. Some remarks on Kalman filters for the multisensor fusion , 2002, Inf. Fusion.

[6] Barbara F. La Scala,et al. Choosing a track association method , 2002, Inf. Fusion.

[7] Y. Le Guilloux,et al. PAROTO project: the benefit of infrared imagery for obstacle avoidance , 2002, Intelligent Vehicle Symposium, 2002. IEEE.

[8] J. Laneurit,et al. Multisensorial data fusion for global vehicle and obstacles absolute positioning , 2003, IEEE IV2003 Intelligent Vehicles Symposium. Proceedings (Cat. No.03TH8683).

[9] R. Moreira,et al. Infrared Image Processing for Obstacle Avoidance , 2003 .

[10] Laurent Trassoudaine,et al. Paroto Project: Infrared and Radar Data Fusion for Obstacle Avoidance , 2004 .