Multiple hypothesis classification with laser range finders

IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC

Volumn , Issue , 2004, Pages 195-200

  Streller, Daniel ^a   Dietmayer, Klaus ^a  

^a UNIVERSITY OF ULM   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTATIONAL COMPLEXITY; DATA ACQUISITION; KALMAN FILTERING; LASER BEAMS; PARAMETER ESTIMATION; ROBUSTNESS (CONTROL SYSTEMS); SENSORS; VELOCITY MEASUREMENT;

GEOMETRIC INFORMATION; HIGH DISTANCE RESOLUTION; HYPOTHESIS; LASER RANGE FINDERS;

RANGE FINDERS;

EID: 13344293635     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

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4. D. Streller, K.C. Dietmayer: Object Tracking and Classification using a Multiple Hypothesis Approach Proceedings of IV 2004, 2004 IEEE Intelligent Vehicles Symposium, Parma, June 2004
5. D. Streller, K. Dietmayer, J. Sparbert: Object Tracking in Traffic Scenes With Multi-Hypothesis Approach using Laser Range Images. Proceedings of ITS 2001, 8th World Congress on Intelligent Transport Systems, Sidney, October 2001
6. D. Streller, K. Fuerstenberg, K. Dietmayer: Vehicle and Object Models for Robust Tracking in Traffic Scenes using Laser Range Images., Proceedings of ITSC 2003, IEEE 5th International Conference on Intelligent Transportation Systems, Singapore, September 2002
7. L. Zhao, C. Torpe: Qualitative and Quantitative Car Tracking from a Range Image System. Proceedings of CVPR 1998, Santa Barbara, CA, USA, June 1998