Combined road prediction and target tracking in collision avoidance

IEEE Intelligent Vehicles Symposium, Proceedings

Volumn , Issue , 2004, Pages 619-624

  Eidehall, Andreas ^a   Gustafsson, Fredrik ^b  

^a VOLVO CAR CORPORATION   (Sweden)

^b LINKÖPING UNIVERSITY   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; HIGHWAY ACCIDENTS; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; KALMAN FILTERING; OBJECT RECOGNITION; RADAR TARGET RECOGNITION; TRACKING (POSITION);

DRIVER ASSISTANCE SYSTEMS; INTELLIGENT AUTOMOTIVE SYSTEMS; OBJECT TRACKING; TARGET TRACKING;

COLLISION AVOIDANCE;

EID: 4544264931     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. Vägutformning 94 version s-2, 2002:116. Technical report, Swedish National Road Administration, 1994.
2. Automotive collision avoidance system field operational test. Technical report, National Highway Traffic Safety Administration, 2000.
3. F. Dellaert and C. Thorpe. Robust car tracking using Kalman filtering and Bayesian templates. SPIE: Intelligent Transportation Systems, 1997.
4. E. D. Dickmanns and A. Zapp. A curvature-based scheme for improving road vehicle guidance by computer vision. SPIE conference on mobile robots, 1986.
5. A. Gern, U. Franke, and P. Levi. Advanced lane recognition - fusing vision and radar. IEEE Intelligent Vehicles Symposium 2000, 2000.
6. J. Jansson. Tracking and Decision Making for Automotive Collision Avoidance. Department of Electrical Engineering, Linköpings Universitet, 2002.
7. Z. Zomotor and U. Franke. Sensor fusion for improved vision based lane recognition and object tracking with range-finders. IEEE Conference on intelligent transportation systems, 1997.