M. Bertozzi and A. Broggi, GOLD: a parallel real-time stereo vision system for generic obstacle and lane detection, IEEE Transactions on Image Processing, vol.7, issue.1, p.1, 1998.
DOI : 10.1109/83.650851

S. Blackman and R. Popoli, Modern Tracking Systems, 1999.

U. Franke and A. Joos, Real-time stereovision for urban traffic scene understanding, IEEE Intelligent Vehicle Symposium, 2000.

M. Gavrila, M. Kunert, and U. Lages, A multi-sensor approach for the protection of vulnerable traffic participants the PROTECTOR project, IMTC 2001. Proceedings of the 18th IEEE Instrumentation and Measurement Technology Conference. Rediscovering Measurement in the Age of Informatics (Cat. No.01CH 37188), 2001.
DOI : 10.1109/IMTC.2001.929557

H. W. Kuhn, The Hungarian method for assignment problem, Nav. Res. Quart, vol.2, 1955.

D. Koller, T. Luong, and J. Malik, Binocular stereopsis and lane marker flow for vehicle navigation: lateral and longitudinal control, 1994.

R. Labayrade and D. Aubert, A single framework for vehicle roll, pitch, yaw estimation and obstacles detection by stereovision, IEEE IV2003 Intelligent Vehicles Symposium. Proceedings (Cat. No.03TH8683), 2003.
DOI : 10.1109/IVS.2003.1212878

R. Labayrade and D. Aubert, In-Vehicle Obstacle Detection and Characterization by Stereovision, IEEE In-Vehicle Cognitive Computer Vision Systems, 2003.

A. Mendes, C. Bento, L. Nunes, and U. , Multi-target detection and tracking with a laserscanner, IEEE Intelligent Vehicles Symposium, 2004, pp.796-801, 2004.
DOI : 10.1109/IVS.2004.1336486

R. Mobus and U. Kolbe, Multi-Target Multi-Object Tracking, Sensor Fusion of Radar and Infrared, IEEE Intelligent Vehicles Symposium, pp.732-737, 2004.

M. Rombaut, Decision in Multi-obstacle Matching Process using Theory of Belief, AVCS'98, 1998.

D. Scharstein, R. Szeliski, and R. Zabih, A taxonomy and evaluation of dense two-frame stereo correspondence algorithms, Proceedings IEEE Workshop on Stereo and Multi-Baseline Vision (SMBV 2001), 2001.
DOI : 10.1109/SMBV.2001.988771

G. Shafer, A mathematical theory of evidence, 1976.

B. Steux, Fade: a vehicle detection and tracking system featuring monocular color vision and radar data fusion, Intelligent Vehicle Symposium, 2002. IEEE, 2002.
DOI : 10.1109/IVS.2002.1188022

T. Williamson, A high-performance stereo vision system for obstacle detection, 1998.