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LIDAR works in fog or rain.

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CONTESTED PARTIAL
Recorded sources
1 source for · 5 against

Counts group repeated records of the same source within each side. They do not measure evidence strength or source independence.

Is it true that LIDAR works in fog or rain?

Partly. Several peer-reviewed studies report that LiDAR detection performance is reduced or degraded in rain and fog, while one laboratory study reports that LIDAR-based weather recognition works adequately in rain and fog. The evidence addresses degraded performance rather than whether LiDAR functions at all in those conditions.

Verdict: CONTESTED PARTIAL · 1 source for, 5 against · Last checked

Evidence for · 1
Weather Detection in Vehicles by Means of Camera and LIDAR Systems
2014
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Weather Detection in Vehicles by Means of Camera and LIDAR Systems. (2014). doi.org. https://doi.org/10.1109/cicsyn.2014.47

Evidence against · 5
A Methodology to Model the Rain and Fog Effect on the Performance of Automotive LiDAR Sensors
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A Methodology to Model the Rain and Fog Effect on the Performance of Automotive LiDAR Sensors. (n.d.). cir.nii.ac.jp. https://doi.org/10.3390/s23156891

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More against · 4
Empirical Analysis of Autonomous Vehicle’s LiDAR Detection Performance Degradation for Actual Road Driving in Rain and Fog
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Empirical Analysis of Autonomous Vehicle’s LiDAR Detection Performance Degradation for Actual Road Driving in Rain and Fog. (n.d.). mdpi.com. https://www.mdpi.com/1424-8220/23/6/2972/pdf?version=1678352028

Sensors in Self-Driving Vehicles: A Detailed Literature Review and New Trends.
2026
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P, V. & G, K. (2026). Sensors in Self-Driving Vehicles: A Detailed Literature Review and New Trends.. doi.org. https://doi.org/10.3390/s26072153

RaLiBEV: Radar and LiDAR BEV Fusion Learning for Anchor Box Free Object Detection Systems
2025
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RaLiBEV: Radar and LiDAR BEV Fusion Learning for Anchor Box Free Object Detection Systems. (2025). doi.org. https://doi.org/10.1109/tcsvt.2024.3521375

3D-OutDet: A Fast and Memory Efficient Outlier Detector for 3D LiDAR Point Clouds in Adverse Weather
2023
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3D-OutDet: A Fast and Memory Efficient Outlier Detector for 3D LiDAR Point Clouds in Adverse Weather. (2023). doi.org. https://doi.org/10.1109/iv55156.2024.10588582

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held for human review17 Oct 2026
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