What happens to a ToF LiDAR in fog?
Not on the map. Why?
Abstract (arXiv)
This article focuses on analyzing the performance of a typical time-of-flight (ToF) LiDAR under fog environment. By controlling the fog density within CEREMA Adverse Weather Facility 1 , the relations between the ranging performance and fogs are both qualitatively and quantitatively investigated. Furthermore, based on the collected data, a machine learning based model is trained to predict the minimum fog visibility that allows successful ranging for this type of LiDAR. The revealed experimental results and methods are helpful for ToF LiDAR specifications from automotive industry.
Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). First posted on arXiv 14 Mar 2020.
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Citing papers per year: 2021: 2; 2022: 1; 2023: 1; 2024: 2; 2025: 1; 2026: 2.
9 papers.
- 2021Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse Weathercited by 95
- 2024Rethinking Data Augmentation for Robust LiDAR Semantic Segmentation in Adverse Weathercited by 14
- 2023Realistic Rainy Weather Simulation for LiDARs in CARLA Simulatorcited by 6
- 2025Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edgecited by 4
- 2021Probabilistic Rainfall Estimation from Automotive Lidarcited by 2
- 2022Perception Simplex: Verifiable Collision Avoidance in Autonomous Vehicles Amidst Obstacle Detection Faultscited by 1
- 2024Predicting the Influence of Adverse Weather on Pedestrian Detection with Automotive Radar and Lidar Sensorscited by 1
- 2026A Data Efficiency Study of Synthetic Fog for Object Detection Using the Clear2Fog Pipelinecited by 0
- 2026T2LDM++: A Self-Conditioned Representation Guided Diffusion Model for Realistic Text-to-LiDAR Scene Generationcited by 0
- 2026T2LDM++: A Self-Conditioned Representation Guided Diffusion Model for Realistic Text-to-LiDAR Scene Generation29 Jun 2026
- 2026A Data Efficiency Study of Synthetic Fog for Object Detection Using the Clear2Fog Pipeline12 May 2026
- 2025Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge5 Jul 2025
- 2024Rethinking Data Augmentation for Robust LiDAR Semantic Segmentation in Adverse Weather2 Jul 2024
- 2024Predicting the Influence of Adverse Weather on Pedestrian Detection with Automotive Radar and Lidar Sensors21 May 2024
- 2023Realistic Rainy Weather Simulation for LiDARs in CARLA Simulator20 Dec 2023
- 2022Perception Simplex: Verifiable Collision Avoidance in Autonomous Vehicles Amidst Obstacle Detection Faults4 Sep 2022
- 2021Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse Weather11 Aug 2021
- 2021Probabilistic Rainfall Estimation from Automotive Lidar23 Apr 2021