Dust De-Filtering in LiDAR Applications With Conventional and CNN Filtering Methods

Dust De-Filtering in LiDAR Applications With Conventional and CNN Filtering Methods

Light detection and ranging (LiDAR) sensors can create high-quality scans of an environment. However, LiDAR point clouds are affected by harsh weather conditions since airborne particles are easily detected. In literature, conventional filtering and artificial intelligence (AI) filtering methods hav...

Full description

Bibliographic Details
Main Authors: Tyler Parsons, Jaho Seo, Byeongjin Kim, Hanmin Lee, Ji-Chul Kim, Moohyun Cha
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Artificial intelligence (AI)
autonomous navigation
convolutional neural network (CNN)
dust de-filtering
light detection and ranging (LiDAR)
Online Access:https://ieeexplore.ieee.org/document/10423020/

Internet

https://ieeexplore.ieee.org/document/10423020/

Similar Items