A Robust Registration Method for Autonomous Driving Pose Estimation in Urban Dynamic Environment Using LiDAR

A Robust Registration Method for Autonomous Driving Pose Estimation in Urban Dynamic Environment Using LiDAR

The registration of point clouds in urban environments faces problems such as dynamic vehicles and pedestrians, changeable road environments, and GPS inaccuracies. The state-of-the-art methodologies have usually combined the dynamic object tracking and/or static feature extraction data into a point...

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Bibliographic Details
Main Authors: Rendong Wang, Youchun Xu, Miguel Angel Sotelo, Yulin Ma, Thompson Sarkodie-Gyan, Zhixiong Li, Weihua Li
Format: Article
Language:English
Published: MDPI AG 2019-01-01
Series:Electronics
Subjects:
intelligent vehicles
LiDAR odometry
range sensing
simultaneous localization and mapping (SLAM)
Online Access:http://www.mdpi.com/2079-9292/8/1/43

Internet

http://www.mdpi.com/2079-9292/8/1/43

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