Toward modeling and classification of naturalistic driving

Author

Torkkola, Kari ; Gardner, Mike ; Wood, Chip ; Schreiner, Chris ; Massey, Noel ; Leivian, Bob ; Summers, John ; Venkatesan, Srihari

Author_Institution

Intelligent Syst. Lab., Motorola Labs., Tempe, AZ, USA

fYear

2005

fDate

6-8 June 2005

Firstpage

638

Lastpage

643

Abstract

Intelligent systems in automobiles need to be aware of the driving and driver context Available sensor data streams have to be modeled and monitored in order to do so. We describe a machine learning approach to accomplish this through collecting a large database of naturalistic driving data in a driving simulator. Preliminary experiments with a smaller dataset indicate successful modeling of naturalistic driving with hierarchical sequential models such as hidden Markov models.

Keywords

automobiles; digital simulation; driver information systems; hidden Markov models; intelligent sensors; learning (artificial intelligence); pattern classification; very large databases; automobile intelligent systems; driving simulator; hidden Markov models; large database; machine learning approach; naturalistic driving classification; naturalistic driving modeling; sensor data streams; Automobiles; Context awareness; Context modeling; Hidden Markov models; Intelligent sensors; Intelligent systems; Intelligent vehicles; Learning systems; Monitoring; Sensor systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Vehicles Symposium, 2005. Proceedings. IEEE

Print_ISBN

0-7803-8961-1

Type

conf

DOI

10.1109/IVS.2005.1505175

Filename

1505175