Statistical signal processing for automotive safety systems

IEEE Workshop on Statistical Signal Processing Proceedings

Volumn 2005, Issue , 2005, Pages 1428-1435

  Gustafsson, Fredrik ^a  

^a LINKÖPING UNIVERSITY   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

ACTUATORS; AUTOMOTIVE INDUSTRY; COMPUTER HARDWARE; COMPUTER SOFTWARE; SECURITY SYSTEMS; STATISTICAL METHODS;

DATA BUSES; SAFETY FUNCTIONS;

SIGNAL PROCESSING;

EID: 33947100905     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ssp.2005.1628820     Document Type: Conference Paper

References (37)

1. National Highway Traffic Safety Administration. An evaluation of existing tire pressure monitoring systems. Technical Report DOT HS 809 297, US Department of Transportation, 2001.
2. A. Amditis, N. Floudas, and A. Polychronopoulos. Lateral motion tracking of automobiles. In 7th International Conference on Information Fusion, Stockholm, 2004.
3. A. Amditis, A. Polychronopoulos, I. Karaseitanidis, G. Katsoulis, and E. Bekiaris. Multiple sensor collision avoidance system for automotive applications using an imm approach for obstacle tracking. In International Symposium on Information Fusion (IFIS), pages 812-817, 2002.
4. Y. Bar-Shalom and X.R. Li. Estimation and tracking: principles, techniques, and software. Artech House, 1993.
5. Y. Boers and J.N. Driessen. Particle filter based detection for tracking. In IEEE American Control Conference, volume 6, pages 4393-4397, Arlington, 2001.
6. C. Coue, T. Fraichard, P. Bessiere, and E. Mazer. Multi-sensor data fusion using bayesian programming: an automotive application. In IEEE Int. Conf. on Intelligent Robots and Systems, Switzerland, 2002.
7. C. Coue, T. Fraichard, P. Bessiere, and E. Mazer. Using bayesian programming for multi-sensor multitarget tracking in automotive applications. In IEEE Int. Conf. on Robotics and Automation (ICRA), Taipai, Taiwan, 2003.
8. Apollo Deliverable D7. Intelligent tyre systems - state of the art and potential technologies. Technical report, EU-IST-2001-34372, 2003.
9. U. Eichhorn and J. Roth. Prediction and monitoring of tyre/road friction. In Proceedings of FISITA, London, June 1992.
10. A. Eidehall and F. Gustafsson. Combined road prediction and target tracking in collision avoidance. In IEEE Intelligent Vehicle Symposium (IV'04), pages 619-624, Parma, Italy, 2004.
11. Folksam. Hur säker är bilen? (How safe is the car?). Technical report, http://www.folksam.se/resurser/pdf/sakrabilar2005.pdf, 2005.
12. Swedish Institute for Transport and Communications Analysis Statistics Sweden. Road traffic injuries 2003, official statistics of Sweden. Technical report, http://www.sika-institute.se/databas/data/ss-2004.6.pdf, 2004.
13. U. Forssell, P. Hall, S. Ahlqvist, and F. Gustafsson. Novel map-aided positioning system. In Proc. of FISITA, number F02-1131, Helsinki, 2002.
14. R. Fredriksson, Y. Håland, and J. Yang. Evaluation of a new pedestrain head injury protection system with a sensor in the bumper and lifting of the bonnet's rear part. In Enhanced Safety of Vehicles Conference, pages 1-11, 2001.
15. K.C. Fürstenberg, D. Linzmeier, and U. Lages. Pedestrian recognition and tracking of vehicles using a vehicle based multilayer laser-scanner. In World Congress on Intelligent Transport Systems and Services (ITS), Madrid, 2003.
16. D.M. Gavrila, M. Kunert, and U. Lages. A multisensor approach for the protection of vulnerable traffic participants - the protector project. In IEEE Instrumentation and Measurement Technology Conference, Budapest, 2001.
17. F. Gustafsson. Slip-based estimation of tire-road friction. Automatica, 33(6):1087-1099, 1997.
18. F. Gustafsson, S. Ahlqvist, U. Forssell, and N. Persson. Sensor fusion for accurate computation of yaw rate and absolute velocity. In Society of Automotive Engineers World Congress, number SAE 2001-01-1064, Detroit, 2001.
19. F. Gustafsson, M. Drevö, U. Forssell, M. Löfgren, N. Persson, and H. Quicklund. Virtual sensors of tire pressure and road friction. In Society of Automotive Engineers World Congress, number SAE 2001-01-0796, Detroit, 2001.
20. R. Hallouzi, V. Verdult, H. Hellendoorn, and J. Ploeg. Experimental evaluation of a co-operative driving setup based on inter-vehicle communication. In IFAC/EURON Symposium on Intelligent Autonomous Vehicles (IAV), 2004.
21. N. Kaempchen, K.C. Fuerstenberg, A.G. Skibicki, and K.C.J. Dietmayer. Sensor fusion for multiple automotive active safety and comfort applications. In International Forum on Advanced Microsystems for Automotive Applications (AMAA), Berlin, 2004.
22. A. Klotz, D. Hoetzer, and J. Sparbert. Lane data fusion for driver assistance systems. In 7th International Conference on Information Fusion, Stockholm, 2004.
23. KPMG. Global auto executive survey. Automotive momentum, 1(1), 2005.
24. J. Langheim and A.J. Buchanan. Carsense - sensing of car environment at low speed driving. In World Congress on Intelligent Transport Systems and Services (ITS), Turin, 2000.
25. D. Linzmeier, M. Mekhaiel, J. Dickmann, and K.C.H. Dietmayer. Pedestrian detection with thermopiles using an occupancy grid. In World Congress on Intelligent Transport Systems and Services (ITS), Washington, 2004.
26. P. Marchal, D. Gavrila, L. Letellier, M-M. Meinecke, R. Morris, and M. Töns. Save-u : Sensor data fusion for improved vulnerable road user detection. Budapest, 2004.
27. C. Metz, J. Grubert, J. Heyen, A.F. Jacob, S. Janot, and E. Fully integrated automotive radar sensor with versatile resolution. IEEE Transactions on Microwave Theory and Techniques, 49(12):2560-2566, 2001.
28. S. Müller, M. Uchanski, and K. Hedrick. Estimation of the maximum tire-road friction coefficient. Journal of Dynamic Systems, Measurement, and Control, 125:607-617, 2003.
29. B. Nitsche and R. Schulz. Automotive applications for the alasca laserscanner. In International Forum on Advanced Microsystems for Automotive Applications (AMAA), Berlin, 2004.
30. A. Oyaide, V. Willhoeft, C. Shooter, and A. Heenan. Lane and road detection using video and laserscanner data. In World Congress on Intelligent Transport Systems and Services (ITS), Madrid, 2003.
31. H. Rehbinder and B.K. Ghosh. Pose estimation using line-based dynamic vision and inertial sensors. IEEE Transactions on Automatic Control, 48(2):186-199, 2003.
32. M.E. Russell, C.A. Drubin, A.S. Marinilli, W.G. Woodington, and M.J. DelCheccolo. Integrated automotive sensors. IEEE Transactions on Microwave Theory and Techniques, 50(3), 2002.
33. D.J. Salmond and H. Birch. A particle filter for track before detect. In IEEE American Control Conference, volume 6, pages 4393-4397, Arlington, 2001.
34. R.M. Schwarte. Breakthrough in multichannel laser-radar technology providing thousands of high-sensitive lidar receivers on a chip. In International Society for Optical Engineering (SPIE), volume 5575, pages 126-136, 2004.
35. A. Svärdström. Classification of road surface using a neural net (in Swedish). Technical Report UPTEC 93 056R, Uppsala University, Uppsala, Sweden, June 1993.
36. P. Venhovens, K. Naab, and B. Adiprasito. Stop and go cruise control. International Journal of Automotive Technology, 1(2):61-69, 2000.
37. K. Watanabe, K.C. Cheok, and K. Kobayashi. Absolute speed measurement of automobile from noisy acceleration and erroneous wheel speed information. SAE Paper, 75-82, 1992.