The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)
Online ISSN : 2424-3124
2017
Session ID : 2A1-I03
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-Active Safety of Electric Wheelchair-
*Yudai SADAKUNIYoji KURODA
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Abstract

Along with the aging society, electric wheelchair have been popular. Accident caused by carelessness or misoperation have increased as electric wheelchair became more popular. To prevent accidents, drive assistance systems are being developed. These are two problems:falling accidents due to undetected steps and path planning not considering the driver's intention. We developed a driving assist system that consists of step doundary detection using 3D-LiDAR and path plans considering the driver's intention. In order to detect a travelable area, our system is the integration of evaluation suitable for each factors that make the traveling hard. The evaluations are composed of the height information and the curvature estimation. We generate trajectory candidates that can safely travel from detected results. Afterwards, the electric wheelchair selects and follows the trajectory considering the driver's intention.

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© 2017 The Japan Society of Mechanical Engineers
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