Intelligent data fusion system for predicting vehicle collision warning using vision/GPS sensing

Expert Systems with Applications

Volumn 37, Issue 3, 2010, Pages 2439-2450

  Chang, Bao Rong ^a   Tsai, Hsiu Fen ^b   Young, Chung Ping ^c  

^a National University   (Taiwan)

^b SHU TE UNIVERSITY   (Taiwan)

^c NATIONAL CHENG KUNG UNIVERSITY   (Taiwan)

Author keywords

Adaptive network based fuzzy inference system; Collision warning; Distributed dual platform; Event data recording; Heterogeneous data fusion; Quantum tuned back propagation neural network

Indexed keywords

ACCIDENT RECONSTRUCTION; ADAPTIVE NETWORK BASED FUZZY INFERENCE SYSTEM; ALCOHOL CONCENTRATIONS; BACK PROPAGATION NEURAL NETWORKS; CARBON MONOXIDE CONCENTRATION; COLLISION WARNING; DROWSY DRIVING; FATIGUE LEVEL; FUZZY APPROACH; HETEROGENEOUS DATA; INPUT SIGNAL; INTELLIGENT DATA; LANE MARKING DETECTION; POSITIONING SYSTEM; REACTION TIME; RELIABILITY AND VALIDITY; SPEED-UPS; STATIC INFORMATION; SYSTEM EFFECTIVENESS; VEHICLE COLLISIONS; WARNING SYSTEMS; WIRELESS COMMUNICATIONS;

BACKPROPAGATION; CARBON MONOXIDE; DATA FUSION; DATA RECORDING; FAULT TOLERANCE; FUZZY INFERENCE; FUZZY SYSTEMS; INFORMATION FUSION; INTELLIGENT CONTROL; QUALITY ASSURANCE; ROAD AND STREET MARKINGS; TORSIONAL STRESS; WIRELESS NETWORKS; WIRELESS TELECOMMUNICATION SYSTEMS;

NEURAL NETWORKS;

EID: 70449701523     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2009.07.036     Document Type: Article

References (31)

1. Advanced Warning Systems - Mobileye (2008). .
2. Alaoui, C., & Salameh, Z. M. (2003). On-board diagnostic and rejuvenation system for electric vehicles. In Proceedings of IEEE vehicular technology conference (Fall) (Vol. 5, pp. 3251-3256).
3. Brunson S.J., Kyle E.M., Phamdo N.C., and Preziotti G.R. Alert algorithm development program NHTSA rear-end collision alert algorithm. USDOT (2002)
4. Cai, C. H., Du, D., & Liu, Z. Y. (2003). Battery state-of-charge (SOC) estimation using adaptive neuro-fuzzy inference system (ANFIS). In Proceedings of 12th IEEE international conference on fuzzy systems (Vol. 2, pp. 1068-1073).
5. Chang, B. R., Young, C.-P., Tsai, H. F., & Lin, J.-J. (2008). Applying embedded quantum-intelligence-based ANFIS prediction to collision warning system for motor vehicle safety. In Proceedings of IEEE. The eighth international conference on intelligent systems design and applications (Vol. 1, pp. 3-6).
6. Chang B.R., Tsai H.F., and Young C.-P. New forecasting scheme using quantum minimization to regularize a composite of prediction and its nonlinear heteroscedasticity. International Journal of Innovative Computing, Information and Control 3 5 (2007) 1251-1262
7. Chen, S.-Y. (2007). The design of a DSRC inter-vehicle communication based collision avoidance mechanism for highway safety. Master Thesis in Institute of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan, January.
8. Dagan, E., Mano, O., Stein, G. P., & Shashua A. (2004). Forward collision warning with a single camera. In Proceedings of 2004 IEEE intelligent vehicles symposium (pp. 37 - 42).
9. Delphi's Advanced Collision Warning System for European Platform (2006). .
10. Durr, C., & Hoyer, P. (1999). A quantum algorithm for finding the minimum. .
11. Fuzzy Logic Toolbox User's Guide (2008). .
12. Ganci, P., Potts, S., & Okurowski, F. (1995). A forward looking automotive radar sensor. In Proceedings of IEEE intelligent vehicles symposium (pp. 321-325).
13. Gmbh, R. B. (1991). CAN Specification Version 2.0, BOSCH.
14. Goldbeck, J., & Huertgen, B. (1999). Lane detection and tracking by video sensors. In Proceedings of the 1999 IEEE/IEEJ/JSAI international conference on intelligent transportation systems, Tokyo, Japan, October (pp. 74-79).
15. Grover L.K. A fast quantum mechanical algorithm for database search. Proceedings 28th Annual ACM Symposium on Theory of Computation (1996), ACM Press 212-219
16. Hou, P.-C. (2003). The lane recognition and vehicle detection at night for a camera-assisted car on highway. In Proceedings of IEEE international conference on robotics and automation (Vol. 2, pp. 2110-2115).
17. IEEE Std 1616 (2005). 2004 IEEE Standard for Motor Vehicle Event Data Recorders (MVEDRs), USA.
18. Jang J., and Roger S. ANFIS: Adaptive network-based fuzzy inference system. IEEE Transactions on System, Man and Cybernetics 23 3 (1993) 665-685
19. Kowalick, T. M. (2001). Pros and cons of emerging event data recorders (EDRs) in the highway mode of transportation. In Proceedings of IEEE vehicular technology conference (pp. 3037-3041).
20. Kyo, S., Koga, T., Sakurai, K., & Okazaki, S. A. (1999). Robust vehicle detecting and tracking system for wet weather conditions using the IMAP-VISION image processing board. In Proceedings of 1999 IEEE/IEEJ/JSAI international conference on intelligent transportation systems (pp. 423-428).
21. Lemaire, E., El Koursi, E.-M., Deloof, P., & Ghys, J.-P. (2002). Safety analysis of a frontal collision warning system. In Proceedings of IEEE intelligent vehicles symposium (pp. 453-458).
22. Lin, J.-J. (2008). A multi-function digital vehicle console based on intelligent collision warning. Master Thesis, Department of Computer Science & Information Engineering, National Cheng Kung University, Taiwan.
23. Lin C.-M., and Hsu C.-F. Neural-network hybrid control for antilock braking systems. IEEE Transactions on Neural Networks 14 2 (2003) 351-359
24. Mirzaei, A., Moallem, M., & Mirzaeian, B. (2005). Optimal Design of a hybrid controller for antilock braking systems. In Proceedings of IEEE/ASME international conference on advanced intelligent mechatronics (pp. 905-910).
25. NHTSA (2006). Motor vehicle traffic crash fatality counts and estimates of people injured for 2005, USA.
26. Tan H.-S., and Huang J.-H. DGPS-based vehicle-to-vehicle cooperative collision warning: engineering feasibility viewpoints. Proceedings of IEEE Transactions on Intelligent Transportation Systems 7 (2006) 415-428
27. Wang, C. D., & Thompson, J. P. (1997). Apparatus and method for motion detection and tracking of objects in a region for collision avoidance utilizing a real-time adaptive probabilistic neural network. .
28. Wang, R.-B., Xu, Y.-C., Li, B., & Zhao, Y.-F. (2002). A vision-based road edge detection algorithm. In Proceedings of 2002 IEEE intelligent vehicle symposium, June (Vol. 1, pp. 141-147).
29. XScale_NAV270 (2008). .
30. Yang, L., Yang, J.-H., Feron, E., & Kulkarni, V. (2003). Development of a performance-based approach for rear-end collision warning and avoidance system for automobiles. In Proceedings of 2003 IEEE intelligent vehicles symposium (pp. 316-321).
31. Zheng P., and McDonald M. The effect of sensor errors on the performance of collision warning systems. Proceedings of IEEE Intelligent Transportation Systems 1 (2003) 469-474