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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Bibliografische gegevens

Hoofdauteurs:	Hao Fu, Hanzhang Xue, Guanglei Xie
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	MDPI AG 2022-09-01
Reeks:	Remote Sensing
Onderwerpen:	LiDAR point cloud map cleaning autonomous driving dynamic object
Online toegang:	https://www.mdpi.com/2072-4292/14/18/4496
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