LiDAR-based road weather condition detection for increased traffic safety
| Reference number | |
| Coordinator | Volvo Personvagnar AB |
| Funding from Vinnova | SEK 1 211 682 |
| Project duration | September 2023 - October 2024 |
| Status | Completed |
| Venture | Accelerate Swedish partnership |
| End-of-project report | 2023-01957engelska.pdf (pdf, 3921 kB) |
Important results from the project
This Project aims to gain knowledge on the potential of utilizing the LiDAR sensor for road weather condition detection. The Project does also aim to propose a specification for optimal LiDAR setup for road weather condition detection in passenger cars.
Expected long term effects
The expected results of this project is to explore: (1)The potential of utilizing LiDAR sensor for road friction condition detection. (2)The potential of using applied machine learning methods for LiDAR-based road friction prediction. (3)The optimal LiDAR orientation and specification for road surface and road weather condition detection.
Approach and implementation
The analysis presents critical insights into the challenges and potential improvements for using LiDAR to classify road conditions. While limitations such as signal strength variability hinder the current analysis, with proper adjustments, the technology may provide more reliable results in the future.