Abstract
LiDAR System Performance is highly infruenced by surface properties and environmental conditions, particularly clear and rainy weather. This study investigates the impact of surface properties and rain on LiDAR Performance, focusing on point cloud density and intensity within regions of interest(ROI). Data was collected in a Container terminal during Container handling Operations under varying weather conditions. Surface categories, including asphalt ground and Container, were analyzed to evaluate the differences in LiDAR Performance metrics. Statistical analyses revealed that clear weather conditions yield more accurate and consistent LiDAR data compared to those under rainy conditions. These results highlight the significant influence of weather on LiDAR detection reliability, and emphasize the need for robust LiDAR Systems that can maintain Performance across diverse environments. This research can improve LiDAR-based sensing applications, such as autonomous vehicles and industrial automation, particularly in environments under different weather conditions.
| Original language | English |
|---|---|
| Pages (from-to) | 297-302 |
| Number of pages | 6 |
| Journal | Transactions of the Korean Society of Automotive Engineers |
| Volume | 33 |
| Issue number | 4 |
| DOIs | |
| State | Published - Apr 2025 |
Bibliographical note
Publisher Copyright:© 2025 Korean Society of Automotive Engineers. All rights reserved.
Keywords
- Adverse weather
- LiDAR
- LiDAR performance
- Rain
- Surface properties