Early and multi level fusion for reliable automotive safety systems

IEEE Intelligent Vehicles Symposium, Proceedings

Volumn , Issue , 2007, Pages 196-201

  Scheunert, Ullrich ^a   Lindner, Philipp ^a   Richter, Eric ^a   Tatschke, Thomas ^b   Schestauber, Dominik ^b   Fuchs, Erich ^b   Wanielik, Gerd ^a  

^a CHEMNITZ UNIVERSITY OF TECHNOLOGY   (Germany)

^b UNIVERSITY OF PASSAU   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMOBILE DRIVERS; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; VEHICLES;

AUTOMOTIVE APPLICATIONS; AUTOMOTIVE SAFETY; DRIVER ASSISTANCE SYSTEM; ENVIRONMENT MODELING; ENVIRONMENTAL PERCEPTIONS; INTEGRATED PROJECT; MULTI LEVEL FUSION; PROCESSING STRATEGIES;

SENSOR DATA FUSION;

EID: 47849098996     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ivs.2007.4290114     Document Type: Conference Paper

References (16)

1. Scheunert, Ullrich; Cramer, Heiko; Polychronopoulos, Aris; Amditis, Angelos; Wanielik, Gerd; Andreone, Luisa: Multi sensor data fusion for object detection: challenges and benefit. Journal Ingegneria Automotoristica, September, 2002.
2. Fardi, Basel; Scheunert, Ullrich; Cramer, Heiko; Wanielik, Gerd: Multi Modal Detection and Parameter-based Tracking of Road Borders with a Laser Scanner. IV 2003, IEEE Intelligent Vehicles Symposium, Columbus, Ohio, USA, June 9-11, 2003.
3. Scheunert, Ullrich; Cramer, Heiko; Wanielik, Gerd: Precise vehicle localization using multiple sensors and natural landmarks. Proceedings of the Seventh International Conference on Information Fusion, pp. 649-656, The 7th International Conference on Information Fusion, Stockholm, Sweden, June 28 to July 1, 2004.
4. J. B. Romine and E. W. Kamen: Modelling and fusion of radar and imaging sensor data for target tracking. Opt. Eng., vol. 35, no. 3, pp. 659-673, 1996.
5. S. Majumder, S. Scheding, and H. Durrant-Whyte: Multisensor data fusion for underwater navigation. Robotics and Autonomous Systems, vol. 35, pp. 97-108, 2001.
6. th International Forum on Advanced Microsystems for Automotive Applications, pp. 307-314, Berlin, Germany, April 2006.
7. C. Hilario, J. M. Collado, J. M. Armingol, A. de la Escalera, J. Marques, N. de la Blanca and P. Pina: Multi-resolution image analysis for vehicle detection. In Iberian conference on pattern recognition and image analysis, Vol. 2, Estoril, Portugal, June 2005.
8. C. Jiangwei, J. Lisheng, G. Lie et al: Study on method of detecting preceding vehicle based on monocular camera. In Proceedings of the IEEE Intelligent Vehilces Symposium 2004, pp. 750-755, Parma, Italy, June 2004.
9. N. Kaempchen, M. Buehler and K. Dietmayer: Feature-level fusion for free-form object tracking using laserscanner and video. In Proceedings of the IEEE Intelligent Vehicles Symposium 2005, pp. 453-458, Las Vegas, U.S.A., June 2005.
10. A. Bensrhair, M. Bertozzi, A. Broggi et al: A cooperative approach to vision-based vehicle detection. In Proceedings of the IEEE Intelligent Transportation Systems Congress 2001, pp. 207-212, Oakland, U.S.A., August 2001.
11. Y. Freund and R. Schapire: A short introduction to boosting. In Journal of Japanese Society for Artificial Intelligence, 14(5):711-780, September 1999.
12. P. Viola and M. Jones: Rapid object detection using a boosted cascade of simple features. In Proceedings of the Conference on Computer Vision and Pattern Recognition, 2001.
13. th International Conference on Information Fusion, Quebec, Canada, July 2007.
14. th International Conference on Information Fusion, Florence, Italy 10 - 13 July 2006
15. http://www.preventip.org/en/prevent_subprojects/ safe_speed_and_safe_following/saspence
16. T. Liu, N. Zheng, L. Zhao and H. Cheng: Learning based symmetric features selection for vehicle detection. In Proceedings of the IEEE Intelligent Vehicles Symposium, pp. 124-129, Las Vegas, U.S.A., June 2005.