The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)
Online ISSN : 2424-3124
2023
Session ID : 1A2-H03
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3D Point Cloud Based Object Recognition and 3D Mapping
*Congzhi RENBin ZHANGHun-Ok LIM
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Abstract

This paper describes a 3D mapping method with object recognition result by using a wheeled mobile robot. The object recognition is realized by using a deep learning neural network called PointPillars. By comparing the recognition results between two continuous frames, the object ID can be matched and for those which are recognized in both frames, and ID will be changed for the others. The recognized objects with determined ID will be reflected to the 3D map.

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© 2023 The Japan Society of Mechanical Engineers
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