LiDAR Odometry and Mapping Based on Semantic Information for Outdoor Environment

LiDAR Odometry and Mapping Based on Semantic Information for Outdoor Environment

Simultaneous Localization and Mapping (SLAM) in an unknown environment is a crucial part for intelligent mobile robots to achieve high-level navigation and interaction tasks. As one of the typical LiDAR-based SLAM algorithms, the Lidar Odometry and Mapping in Real-time (LOAM) algorithm has shown imp...

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Bibliographic Details
Main Authors: Shitong Du, Yifan Li, Xuyou Li, Menghao Wu
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Remote Sensing
Subjects:
SLAM
semantic information
dynamic objects
feature extraction
challenging scenarios
Online Access:https://www.mdpi.com/2072-4292/13/15/2864

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