What happens to a ToF LiDAR in fog?
This work addresses performance degradation in LiDAR for automotive applications, providing incremental insights into fog effects.
The study analyzed how fog affects the ranging performance of a time-of-flight LiDAR, using controlled experiments to quantify the impact and training a machine learning model to predict the minimum fog visibility for successful ranging.
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.