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A Driver Behavior Recognition Method Based on a Driver Model Framework
Technical Paper
2000-01-0349
ISSN: 0148-7191, e-ISSN: 2688-3627
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Sector:
Event:
SAE 2000 World Congress
Language:
English
Abstract
A method for detecting drivers' intentions is essential to facilitate operating mode transitions between driver and driver assistance systems. We propose a driver behavior recognition method using Hidden Markov Models (HMMs) to characterize and detect driving maneuvers and place it in the framework of a cognitive model of human behavior. HMM-based steering behavior models for emergency and normal lane changes as well as for lane keeping were developed using a moving base driving simulator. Analysis of these models after training and recognition tests showed that driver behavior modeling and recognition of different types of lane changes is possible using HMMs.
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Authors
Topic
Citation
Kuge, N., Yamamura, T., Shimoyama, O., and Liu, A., "A Driver Behavior Recognition Method Based on a Driver Model Framework," SAE Technical Paper 2000-01-0349, 2000, https://doi.org/10.4271/2000-01-0349.Also In
SAE 2000 Transactions Journal of Passenger Cars - Mechanical Systems
Number: V109-6; Published: 2001-09-15
Number: V109-6; Published: 2001-09-15
References
- Fancher, P. S. et al. A Field Operational Test of Adaptive Cruise Control SAE Paper 980852
- Ikegaya, M. et. al. Development of a Lane Following Assistant System
- Nakano, S. et al. Development of an Intelligent Steering System for an Automated Highway System
- Rasmussen, J. Information Processing and Human-machine Interaction: An Approach to Cognitive Engineering New York North-Holland 1986
- Michon, J. A. A Critical View of Driver Behaviour Models: What Do We Know, What Should We Do? Evans, L. Schwing, R. C. Human Behaviour and Traffic Safety Plenum Press New York 1985
- Boer, E. R. et al. Modeling Driver Behavior with Different Degrees of Automation: A Hierarchical Decision Framework of Interacting Mental Models Proceedings of the XVIIth European Annual Conference on Human Decision Making and Manual Control Valenciennes, France Dec. 14-16 1998
- Boer, E. R. et al. A Driver Model of Attention Management and Task Scheduling: Satisficing Decision Making with Dynamic Mental Models Proceedings of the XVIIth European Annual Conference on Human Decision Making and Manual Control Valenciennes, France Dec. 14-16 1998
- Helander, M. Applicability of Driver's Electrodermal Response to the Design of the Traffic Environment Journal of Applied Psychology 63 481 48 1978
- Pentland, A. et al. Modeling and Prediction of Human Behavior Neural Computation 11 229 242 1999
- Huang, X. et al. Hidden Markov Models for Speech Recognition Edinburgh Univ. Press Edinburgh 1990
- Yang, J. et al. Hidden Markov Model Approach to Skill Leaning and Its Application to Telerobotics IEEE Transactions on Robotics and Automation 10 621 631 1994
- Liu, A. et al,. Towards Real-time Recognition of Driver Intentions Proceedings of the 1997 IEEE Intelligent Transportation Systems Conference Boston, MA Nov 9-12 1997
- Yamamura, T. et al. Development of a driving simulator with a limited-amplitude motion base Proceedings of the 75th JSME Spring Annual Meeting VI 405 406 1998
- Entropic Cambridge Research Laboratory Inc. http://www/entropic.com/