A Driver Behavior Recognition Method Based on a Driver Model Framework 2000-01-0349
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.
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. Download Citation
Author(s):
Nobuyuki Kuge, Tomohiro Yamamura, Osamu Shimoyama, Andrew Liu
Affiliated:
Nissan Motor Co., Ltd., Massachusetts Institute of Technology
Pages: 10
Event:
SAE 2000 World Congress
ISSN:
0148-7191
e-ISSN:
2688-3627
Also in:
Intelligent Vehicle Systems-SP-1538, SAE 2000 Transactions Journal of Passenger Cars - Mechanical Systems-V109-6
Related Topics:
Driver behavior
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