Computer assisted driving support based on intention reasoning

We propose a driving support system which compensates human error to provide safety in driving. The system confirms safety depending upon the following two-layered support to reduce the control by the system to a minimum. i) Predictive compensation; let a driver realize danger based on intention reasoning when miss-recognition or miss-decision happens. ii) Fail safe intervention; control by support system at a safety limit. Intention reasoning is associative memories, which consists of driving cases agreeing with intentions and sub-goals. Occurrence of the sub-goals is observed and a case which has maximum activation degree results. We also show the simulation of intention reasoning using illustrative examples