DocumentCode :
2372291
Title :
Tactical driver behavior prediction and intent inference: A review
Author :
Doshi, Anup ; Trivedi, Mohan M.
Author_Institution :
Lab. for Intell. & Safe Automobiles, Univ. of California, San Diego, La Jolla, CA, USA
fYear :
2011
fDate :
5-7 Oct. 2011
Firstpage :
1892
Lastpage :
1897
Abstract :
Drawing upon fundamental research in human behavior prediction, recently there has been a research focus on how to predict driver behaviors. In this paper we review the field of driver behavior and intent prediction, with a specific focus on tactical maneuvers, as opposed to operational or strategic maneuvers. The aim of a driver behavior prediction system is to forecast the trajectory of the vehicle prior in real-time, which could allow a Driver Assistance System to compensate for dangerous or uncomfortable circumstances. This review provides insights into the scope of the problem, as well as the inputs, algorithms, performance metrics, and shortcomings in the state-of-the-art systems.
Keywords :
behavioural sciences; driver information systems; inference mechanisms; road safety; driver assistance system; human behavior prediction; intent inference; operational maneuvers; performance metrics; strategic maneuvers; tactical driver behavior prediction; tactical maneuvers; trajectory forecasting; Automobiles; Heuristic algorithms; Hidden Markov models; Humans; Prediction algorithms; Vehicle dynamics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Transportation Systems (ITSC), 2011 14th International IEEE Conference on
Conference_Location :
Washington, DC
ISSN :
2153-0009
Print_ISBN :
978-1-4577-2198-4
Type :
conf
DOI :
10.1109/ITSC.2011.6083128
Filename :
6083128
Link To Document :
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