Real-Time Noise-Resilient Off-Road Drivable Region Detection in LiDAR Point Clouds Using Position-Invariant Inequality Condition

Real-Time Noise-Resilient Off-Road Drivable Region Detection in LiDAR Point Clouds Using Position-Invariant Inequality Condition

The paper presents a novel method for real-time detection of off-road drivable regions in LiDAR point clouds without relying on deep learning. Our method directly distinguishes drivable regions while accounting for noise caused by snow and fog. By focusing on the scanning characteristics of rotating...

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Bibliographic Details
Main Authors: Minyoung Lee, Mingeuk Kim, Chanseok Park, Moohyun Cha, Hanmin Lee
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
LiDAR
point clouds
off-road driving
drivable region
ground region
noise immune
Online Access:https://ieeexplore.ieee.org/document/10701297/

Internet

https://ieeexplore.ieee.org/document/10701297/

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