A Driver Behavior Recognition Method Based on a Driver Model Framework

Paper #:
  • 2000-01-0349

Published:
  • 2000-03-06
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.
Pages:
10
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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