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...

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Bibliographic Details
Main Authors: Andrew M. Wallace, Saptarshi Mukherjee, Bemsibom Toh, Alireza Ahrabian
Format: Article
Language:English
Published: Wiley 2021-04-01
Series:IET Radar, Sonar & Navigation
Online Access:https://doi.org/10.1049/rsn2.12042