This study proposes a method for a vehicle controller to learn human driving behaviours through iterative interactions. In particular, the vehicle controller and the human driver jointly control a vehicle along a path only known to the human driver. Through repeated cooperative driving, the vehicle controller estimates the hidden desired path of the driver by minimising the control input. Eventually, semi-autonomous driving is realised since the vehicle controller is able to automatically track the target path and release the human driver from the driving task. The iterative learning of the human target path on the basis of the proposed algorithm is in the spatial domain, and is effective in the presence of uncertain human driving speeds. The validity of the proposed method is proved by rigorous analysis and demonstrated by numerical simulations.
Iterative learning of an unknown road path through cooperative driving of vehicles
IET Intelligent Transport Systems ; 14 , 5 ; 423-431
10.03.2020
9 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
driving task , semiautonomous driving , road vehicles , road safety , unknown road path , iterative learning , control input , learning (artificial intelligence) , uncertain human driving speeds , mobile robots , human driver , vehicle controller , iterative methods , road traffic , hidden desired path , human target path
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