Adaptive Obstacle Detection for Mobile Robots in Urban Environments Using Downward-Looking 2D LiDAR
Environment perception is important for collision-free motion planning of outdoor mobile robots. This paper presents an adaptive obstacle detection method for outdoor mobile robots using a single downward-looking LiDAR sensor. The method begins by extracting line segments from the raw sensor data, a...
Main Authors: | Cong Pang, Xunyu Zhong, Huosheng Hu, Jun Tian, Xiafu Peng, Jianping Zeng |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2018-05-01
|
Series: | Sensors |
Subjects: | |
Online Access: | http://www.mdpi.com/1424-8220/18/6/1749 |
Similar Items
-
Forest Roads Mapped Using LiDAR in Steep Forested Terrain
by: Russell A. White, et al.
Published: (2010-04-01) -
Mapping Forest Height in Alaska Using GLAS, Landsat Composites, and Airborne LiDAR
by: Birgit Peterson, et al.
Published: (2014-12-01) -
Automated Mapping of Transportation Embankments in Fine-Resolution LiDAR DEMs
by: Nigel Van Nieuwenhuizen, et al.
Published: (2021-03-01) -
Pareti verticali e LiDAR: esperienze dalle Dolomiti
by: Fabio Remondino, et al.
Published: (2010-02-01) -
Method to Reduce the Bias on Digital Terrain Model and Canopy Height Model from LiDAR Data
by: Marie-Soleil Fradette, et al.
Published: (2019-04-01)