Advancing Simultaneous Localization and Mapping with Multi-Sensor Fusion and Point Cloud De-Distortion

Advancing Simultaneous Localization and Mapping with Multi-Sensor Fusion and Point Cloud De-Distortion

This study addresses the challenges associated with incomplete or missing information in obstacle detection methods that employ a single sensor. Additionally, it tackles the issue of motion distortion in LiDAR point cloud data during synchronization and mapping in complex environments. The research...

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Bibliographic Details
Main Authors: Haiyan Shao, Qingshuai Zhao, Hongtang Chen, Weixin Yang, Bin Chen, Zhiquan Feng, Jinkai Zhang, Hao Teng
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Machines
Subjects:
obstacle detection
motion distortion
error compensation
simultaneous localization and mapping (SLAM)
LiDAR
depth camera
Online Access:https://www.mdpi.com/2075-1702/11/6/588

Internet

https://www.mdpi.com/2075-1702/11/6/588

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