Title :
Toward augmented control systems
Author :
Pentland, Alex ; Liu, Andrew
Author_Institution :
MIT, Cambridge, MA, USA
Abstract :
We describe research toward building control systems that include a complex, multi-state model of the driver´s behavior. This can allow us to create a control system that augments, rather than replaces, the driver. To accomplish this requires inferring the internal state of the driver (preparing to brake, turn, etc.), and then correctly adapting the remainder of the control system to achieve optimal performance
Keywords :
behavioural sciences; control systems; hidden Markov models; inference mechanisms; intelligent control; man-machine systems; road vehicles; augmented control systems; driver internal state inferring; driver´s behavior; hidden Markov models; human model; multi-state model; road vehicles; Automatic control; Automobile manufacture; Control system synthesis; Control systems; Filters; Hidden Markov models; Humans; Mathematical model; Steering systems; Vehicles;
Conference_Titel :
Intelligent Vehicles '95 Symposium., Proceedings of the
Conference_Location :
Detroit, MI
Print_ISBN :
0-7803-2983-X
DOI :
10.1109/IVS.1995.528306
