Inferring driver intentions plays an important role in developing human-centric intelligent driver assistance systems. In this paper, we propose a method of inferring the lane-changing intention of drivers by using a driver model based on the queuing network (QN) cognitive architecture. Driver behavior data associated with a range of possible driver intentions are simulated by using the QN-based driver model previously validated. The intentions of drivers are deduced by comparing these sets of simulated behavior data with the collected behavior data of drivers. The experimental results in a driving simulator show that the method can infer typical and rapid lane-changing intention of drivers well.
Inferring driver intentions using a driver model based on queuing network
2013 IEEE Intelligent Vehicles Symposium (IV) ; 1387-1391
2013-06-01
568347 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
INFERRING DRIVER INTENTIONS USING A DRIVER MODEL BASED ON QUEUING NETWORK
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