LiDAR-based road weather condition detection for increased traffic safety

Purpose and goal:

This project aims to gain knowledge about the potential of using the LiDAR sensor to detect road weather. The project also aims to propose a specification for optimal LiDAR setup for the detection of road weather in passenger cars.

The aim is to use the Klimator optical friction sensor as ground truth data for road weather, which will be collected, annotated and analyzed together with on-board LiDAR data. Expected results and effects: The project is expected enhance the knowledge of using LiDAR point clouds in road surface condition detection.

The results to be achieved: (1)explore the potential of utilizing LiDAR sensor for road friction condition detection incl. use cases; (2)determine adequate performance measures and thresholds for road friction condition detection. Approach and implementation: The project is planned in the following work packages and has started on track.

1. Test vehicle instrumentation, where both VCC LiDAR and Klimators AHEAD sensors will be installed.

2. Data Collection and annotation. LiDAR sensor data will be annotated in automated method, using the GPS sensor and AHEAD friction sensor as ground-truth. 3. Data analysis to evaluate the potential of LiDAR estimate of road weather condition

4. Determine optimal LiDAR orientation specification for road surface detection, based on the analysis done using the Collected Data.