MapCleaner: Efficiently Removing Moving Objects from Point Cloud Maps in Autonomous Driving Scenarios

MapCleaner: Efficiently Removing Moving Objects from Point Cloud Maps in Autonomous Driving Scenarios

Three-dimensional (3D) point cloud maps are widely used in autonomous driving scenarios. These maps are usually generated by accumulating sequential LiDAR scans. When generating a map, moving objects (such as vehicles or moving pedestrians) will leave long trails on the assembled map. This is undesi...

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Bibliographic Details
Main Authors: Hao Fu, Hanzhang Xue, Guanglei Xie
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Remote Sensing
Subjects:
LiDAR point cloud
map cleaning
autonomous driving
dynamic object
Online Access:https://www.mdpi.com/2072-4292/14/18/4496

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https://www.mdpi.com/2072-4292/14/18/4496

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