Experimental Study of Material Classification and Recognition by a LiDAR Scanning

Chien Ru Yu, Chao Chung Peng

研究成果: Conference contribution

摘要

In this short note, a method is presented to classify metal, wood and glass objects by using the measurement of light detection and ranging (LiDAR). It is found that those objects can be easily distinguished if the incident angle, which is formed by a laser bin and a normal vector of the reflection surface, is near zero. However, for practical application, it would be quite difficult to guarantee the zero-incident-angle condition. Therefore, a bunch of data from arbitrary view were collected and used for training and classification. Experiments show that the incident angle affect the reflection intensity of the LiDAR significantly and therefore cause the performance degradation of object recognition.

原文English
主出版物標題2020 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9781728173993
DOIs
出版狀態Published - 2020 九月 28
事件7th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020 - Taoyuan, Taiwan
持續時間: 2020 九月 282020 九月 30

出版系列

名字2020 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020

Conference

Conference7th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020
國家Taiwan
城市Taoyuan
期間20-09-2820-09-30

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Artificial Intelligence
  • Computer Science Applications
  • Signal Processing
  • Electrical and Electronic Engineering
  • Instrumentation

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