Combining automotive radar and LiDAR for surface detection in adverse conditions
Abstract Automotive radar and light detection and ranging (LiDAR) sensors have complementary strengths and weaknesses for 3D surface mapping. We present a method using Markov chain Monte Carlo sampling to recover surface returns from full‐wave longitudinal signals that takes advantage of the high sp...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Wiley
2021-04-01
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Series: | IET Radar, Sonar & Navigation |
Online Access: | https://doi.org/10.1049/rsn2.12042 |