A cooperative parking system based on fuzzy intention

Parking a car is an important driving skill. However, many drivers do not like parking. Therefore, a number of parking assist systems have been developed. When humans and computers perform control together, it is important to design cooperative control systems involving a human. The parking assistance method often used in the driving school in Japan is a cooperative assistance method. A good driving instructor not only prioritizes his/her own intention, but can perform flexible operation considering the driver´s intention. In the present paper, a cooperative parking system based on fuzzy intention is proposed. This system provides a parking assistance method. This system conforms to a driver much as possible. Fuzzy intention is a set of temporary target candidates that express a good temporary target decided by the assistant. Using fuzzy intention, the breadth of candidates enables the driver´s intention to be confirmed. The effectiveness of this system was verified experimentally.