Dynamic ego-pose estimation for driver assistance in urban environments

IEEE Intelligent Vehicles Symposium, Proceedings

Volumn , Issue , 2004, Pages 43-48

  Cech, Markus ^a   Niem, Wolfgang ^a   Abraham, Steffen ^a   Stiller, Christoph ^b  

^a ROBERT BOSCH GMBH   (Germany)

^b UNIVERSITY OF KARLSRUHE   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; GROUND VEHICLES; HIGHWAY MARKINGS; HIGHWAY TRAFFIC CONTROL; ROADS AND STREETS; VIDEO CAMERAS;

EGO-POSE ESTIMATORS; INHERENT MOTION; MASS-SPRING SYSTEMS; TEMPORAL PROPAGATION;

DRIVER TRAINING;

EID: 4544350814     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

1. S. Abraham and T. Hau, Towards Autonomous High-Precision Calibration of Digital Cameras, Videometrics V, Procs. of SPIE Annual Meeting, San Diego, 1997.
2. T. Aizawa et al., Road Surface Estimation Robust against Vehicles' Existence for Stereo-Based Vehicle Detection, Procs. of IEEE Intelligent Transportation Systems, Singapore, 2002.
3. M. Bertozzi and A. Broggi, Gold: A Parallel Real-time Stereo Vision System for Generic Obstacle and Lane Detection, IEEE Journal on Transactions on Image Processing, Vol. 7, No. 1, pp. 62-81, 1998.
4. T. Bertram et al., Entwicklung einer dynamischen Leuchtweiteregelung mit einem komplexen dreidimensionalen Fahrzeugmodell, Tagungsband der 20. Konferenz zur Elektronik im Kraftfahrzeug, pp. 1099-1124, Baden-Baden, Germany, 2000.
5. J. Goldbeck and B. Huertgen, Lane Detection and Tracking by Video Sensors, Procs. of IEEE Intelligent Transportation Systems, Tokyo, 1999.
6. F. Heimes and H.-H. Nagel, Towards Active Machine-Vision-Based Driver Assistance for Urban Areas, Int. Journal of Computer Vision, Vol.50, No. 1, pp.5-34, 2002.
7. F. Paetzold and U. Franke, Road Recognition in Urban Environment, Int. Journal on Image and Vision Computing, Vol. 18, No. 5, pp.377-387, 2000.
8. G. Welch and G. Bishop, An Introduction to the Kalman Filter, Technical Report TR 95-041, Department of Computer Science, University of North Carolina, 2003.
9. T. Williamson and C. Thorpe, Detection of Small Obstacles at Long Range Using Multibaseline Stereo, Procs. of IEEE Intelligent Vehicles, Germany, 1998.