Inferring the driver's lane change intention using context-based dynamic Bayesian networks

This paper presents the results of the design and evaluation of a context based intent inference system for highway lane changes. Traditionally, intent inference for this task is based on information from the subject vehicle only. Because the context, e.g. traffic situation, plays an important role in the driver's situational awareness, a study was performed to investigate what results can be achieved by including this context information in the intent inference system. It was observed that traditional state based systems have a 90% accuracy and reach their maximum performance much earlier than a simple lateral threshold. The addition of various context information variables to the state based system decreased performance, caused by the models having problems capturing the complexity of the context data.

[1]  Steven E. Shladover,et al.  Rear-End Collision–Warning System: Design and Evaluation via Simulation , 2001 .

[2]  Thad Starner,et al.  Visual Recognition of American Sign Language Using Hidden Markov Models. , 1995 .

[3]  K. Ahmed.  Modeling drivers' acceleration and lane changing behavior , 1999 .

[4]  Takeshi Furuhashi,et al.  Modeling of human behaviors in real driving situations , 2001, ITSC 2001. 2001 IEEE Intelligent Transportation Systems. Proceedings (Cat. No.01TH8585).

[5]  Peeroon Pete Ramanata.  Optimal Vehicle Path Generator Using Optimization Methods , 1998 .

[6]  Tomohiro Yamamura,et al.  A Driver Behavior Recognition Method Based on a Driver Model Framework , 2000 .

[7]  Alex Pentland,et al.  Modeling and Prediction of Human Behavior , 1999, Neural Computation.

[8]  J R Treat,et al.  TRI-LEVEL STUDY OF THE CAUSES OF TRAFFIC ACCIDENTS: FINAL REPORT , 1979 .

[9]  Stuart J. Russell,et al.  Dynamic bayesian networks: representation, inference and learning , 2002 .

[10]  Alex Pentland,et al.  Graphical models for driver behavior recognition in a SmartCar , 2000, Proceedings of the IEEE Intelligent Vehicles Symposium 2000 (Cat. No.00TH8511).

[11]  Lawrence R. Rabiner,et al.  A tutorial on hidden Markov models and selected applications in speech recognition , 1989, Proc. IEEE.

[12]  David H. Weir,et al.  Dynamics of driver vehicle steering control , 1970 .

[13]  Richard M. Schwartz,et al.  On-line cursive handwriting recognition using speech recognition methods , 1994, Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing.

[14]  Dario D. Salvucci.  Inferring Driver Intent: A Case Study in Lane-Change Detection , 2004 .