The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)
Online ISSN : 2424-3124
2017
Session ID : 2P2-D06
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Extraction of blind area by obstacles for autonomous vehicle
Sugiki MASARUSuganuma NAOKIYoneda KEISUKE
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CONFERENCE PROCEEDINGS FREE ACCESS

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Abstract

Recently, autonomous vehicle have been actively studied for reducing traffic accidents and conserving energy. It is necessary to recognize obstacles around the vehicle and determine drivable area. We use LIDAR for recognizing around the vehicle and make obstacle map that represent area ego vehicle is able to run. In the conventional map, we recognize area behind the nearest obstacle as unknown area. Therefore, we cannot get fine view in case of T-junction and intersection. So this paper deals with this problem to use obstacle height. We geometrically calculate blind area and make obstacle map suitable for actual road in order to reduce potential risk.

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© 2017 The Japan Society of Mechanical Engineers
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