publication . Article . 2011

Driver Intention Recognition Method Using Continuous Hidden Markov Model

Haijing Hou; Lisheng Jin; Qingning Niu; Yuqin Sun; Meng Lu;
Open Access English
  • Published: 01 May 2011 Journal: International Journal of Computational Intelligence Systems, volume 4, issue 3, pages 386-393 (issn: 1875-6883, Copyright policy)
  • Publisher: Atlantis Press
Abstract
In order to make Intelligent Transportation System (ITS) work effectively, a driver intention recognition method is proposed. In this research, three different recognition models were developed based on Continuous Hidden Markov Model (CHMM), and could distinguish left and right lane change intention from normal lane keeping intention. Subjects performed lane change maneuvers and lane keeping maneuvers with driving simulator which simulated highway scenes, parameters that highly correlated with lane change behavior were collected and analyzed. A series of testings and comparisons were done to obtain the optimal model structure and feature set. Results show that, ...
Subjects
ACM Computing Classification System: ComputerApplications_COMPUTERSINOTHERSYSTEMSComputingMethodologies_PATTERNRECOGNITION
free text keywords: Computational Mathematics, General Computer Science, lcsh:Electronic computers. Computer science, lcsh:QA75.5-76.95, Intelligent transportation system, Acceleration, Driving simulator, Computer vision, Artificial intelligence, business.industry, business, Computer science, Feature set, Hidden Markov model, Steering wheel, Simulation
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