A Driver Behavior Recognition Method Based on a Driver Model Framework Nissan Motor Company, Limited

Format:

Book

Conference/Event

Author/Creator:

Kuge, Nobuyuki, author.

Conference Name:

SAE 2000 World Congress (2000-03-06 : Detroit, Michigan, United States)

Language:

English

Physical Description:

1 online resource cm

Place of Publication:

Warrendale, PA SAE International 2000

Summary:

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

Notes:

Vendor supplied data

Publisher Number:

2000-01-0349

Access Restriction:

Restricted for use by site license