Reliable road vehicle collision prediction with constrained filtering

Signal Processing

Volumn 86, Issue 11, 2006, Pages 3339-3356

  Shen, Shi ^a   Hong, Lang ^a   Cong, Shan ^a  

^a Wright State University   (United States)

Author keywords

Constrained filtering; Information fusion; Kalman filter; Vehicle collision prediction

Indexed keywords

CONSTRAINT THEORY; ERROR ANALYSIS; GEOMETRY; INFORMATION THEORY;

CONSTRAINED FILTERING; INFORMATION FUSION; VEHICLE COLLISION PREDICTION;

KALMAN FILTERING;

EID: 33748299105     PISSN: 01651684     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.sigpro.2006.02.026     Document Type: Article

References (19)

1. Thorpe C. Vision and Navigation: The Carnegie Mellon Navlab (1990), Kluwer Academic Publishers, Dordrecht
2. E.D. Dickmanns, A. Zapp, A curvature-based scheme for improving road vehicle guidance by computer vision. Mobile Robots, vol. 727, SPIE, Cambridge, MA, 1986, p. 161-168.
3. Dickmanns E.D., and Mysliwetz B.D. Recursive 3D road and relative ego-state recognition. IEEE Trans. Pattern Anal. Machine Intell. 14 2 (1992) 199-213
4. Hsu J.C., Chen W.L., Lin R.H., and Yeh E.C. Estimations of previewed road curvatures and vehicular motion by a vision-based data fusion scheme. Machine Vision and Applications 9 (1997) 179-192
5. E.D. Dickmanns, Improvements in visual autonomous road vehicle guidance 1987-94. Visual Navigation: From Biological Systems to Unmanned Ground Vehicles, Lawrence Erlbaum Associates, Mahwah, NJ, 1997, p. 375-404.
6. Omae M., and Fujioka T. DGPS-based position measurement and steering control for automatic driving. Proceedings of the American Control Conference. San Diego, CA (June 1999) 3686-3690
7. Goldbeck J., Huertgen B., Ernst S., and Kelch L. Lane following combining vision and DGPS. Image and Vision Computing 18 (2000) 425-433
8. Lin C.F., Ulsoy A.G., and LeBlanc D.J. Vehicle dynamics and external disturbance estimation for vehicle path prediction. IEEE Trans. Control Syst. Technol. 8 3 (2000) 508-518
9. S.H. Tsang, E.G. Hoare, P.S. Hall, N.J. Clarke, Automotive radar image processing to predict vehicle trajectory, IEEE Int. Radar Conference (1999) 867-870.
10. J.K. Schiffmann, G.R. Widmann, Model-based scene tracking using radar sensors for intelligent automotive vehicle systems, IEEE Int. Radar Conference (1998) 421-426.
11. N.D. Matthews, P.E. An, J.M. Roberts, C.J. Harris, A neurofuzzy approach to future intelligent driver support systems, Proceedings of the Institute of Mechanical Engineers, vol. 212, Part D, 1998, p. 43-58.
12. C.D. Wang, S. Halajian, Processing Methods Enhance Collision-warning Systems, Microwaves and RF, 1997, p. 73-82.
13. Assaad J., Menhaj A., Rouvaen J.M., Bruneel C., and Deloof P. Signal processing study for an FM/CW collision avoidance radar system. Signal Processing 61 (1997) 83-88
14. A.L. Burgett, A. Carter, R.J. Miller, W.G. Najm, D.L. Smith, A collision warning algorithm for rear-end collisions, in: Proceedings of the 16th International Technical Conference on the Enhanced Safety of Vehicles (ESV), Windsor, Canada, 1998, pp. 566-587.
15. Yi K., Woo M., Kim S., and Lee S. A study on a road-adaptive CW/CA algorithm for automobiles using HiL simulations. JSME Int. J. 42 1 (1999) 163-170
16. H. Jula, E. Kosmatopoulos, P. Ioannou, Collision avoidance analysis for lane changing and merging. Technical Report, University of Southern California, 1999.
17. Anderson B.D., and Moore J.B. Optimal Filtering (1979), Prentice-Hall, Englewood Cliffs, NJ
18. Gelb A. Applied Optimal Estimation (1989), The M.I.T. Press, Cambridge, MA
19. Blom H.A.P., and Bar-Shalom Y. The interacting multiple model algorithm for systems with Markovian switching coefficients. IEEE Trans. Automat. Control AC-33 8 (1988) 780-783