Dust De-Filtering in LiDAR Applications With Conventional and CNN Filtering Methods
Author:
Affiliation:
1. Department of Automotive and Mechatronics Engineering, Ontario Tech University, Oshawa, Canada
2. Department of Smart Industrial Machine Technologies, Korea Institute of Machinery & Materials (KIMM), Daejeon, South Korea
Funder
Korea Institute of Machinery & Materials
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/6287639/10380310/10423020.pdf?arnumber=10423020
Reference38 articles.
1. Design of Dust-Filtering Algorithms for LiDAR Sensors Using Intensity and Range Information in Off-Road Vehicles
2. When the Dust Settles: The Four Behaviors of LiDAR in the Presence of Fine Airborne Particulates
3. Laser-camera data discrepancies and reliable perception in outdoor robotics
4. Laser-Radar Data Fusion with Gaussian Process Implicit Surfaces
5. Obstacle detection based on depth fusion of lidar and radar in challenging conditions
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