Development of Advanced Parking Assistance System in the iCAN Framework
Massaki Wada*, Kang Sup Yoon**, and Hideki Hashimoto*
*Institute of Industrail Science, the University of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo 153-8505, Japan
**School of Automotive, Industorial, and Mechanical Engineering, Taegu University, 15 Naeri, Jinryang, Kyungsan, Kyungbuk 712-714, Korea
This paper describes the advanced parking assistance system developed in the iCAN (intelligent CAr Navigation Systems) project framework. The main issues in implementing the assistance system are the vehicle state estimation and the human guidance. First, a guidance approach based on human interface and path generation are proposed. The parking assistance system sensor suite, estimation scheme, path generation scheme and human interface scheme are described. The developed system prototype and experimental results are also presented.
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