Environment Detection of 3D LiDAR by Using Neural Networks

被引：0

作者：

Fan, Yu-Cheng ^{[1
]}

Wu, Bo-Tai ^{[1
]}

Huang, Chun-Ju ^{[1
]}

Bai, Yun-Hao ^{[1
]}

机构：

[1] Natl Taipei Univ Technol, Dept Elect Engn, Taipei, Taiwan

来源：

2019 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS (ICCE) | 2019年

关键词：

3D LiDAR; neural network; Autonomous vehicles;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Autonomous vehicles and robot arc more and more popular, and it is important to sense the environment for autonomous vehicles and robot. LiDAR is a very powerful device, it can capture the distance and contour of object precisely and quickly. And the scanning range is very wide. we use 3D LiDAR and neural network to detection the environment. We get the data packet from LiDAR, and decode the data packet to 3D point cloud coordinate. Then extract the drivable road by neural network and mark the obstacle.

引用

页数：2

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