Browse Publications Technical Papers 2000-01-0349
2000-03-06

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.

SAE MOBILUS

Subscribers can view annotate, and download all of SAE's content. Learn More »

Access SAE MOBILUS »

Members save up to 16% off list price.
Login to see discount.
Special Offer: Download multiple Technical Papers each year? TechSelect is a cost-effective subscription option to select and download 12-100 full-text Technical Papers per year. Find more information here.
We also recommend:
MAGAZINE

Automotive Engineering International 2011-06-21

11AEID0621

View Details

TECHNICAL PAPER

A Portable Electronic Vehicle Use Recorder

840312

View Details

TECHNICAL PAPER

Driver Distraction Monitoring and Adaptive Safety Warning Systems

2008-01-2694

View Details

X