Experimental Study of Lidar System for a Static Object in Adverse Weather Conditions
Thanks to light detection and ranging (LiDAR), unmanned ground vehicles (UGVs) are able to detect different objects in their environment and measure the distance between them. This device gives the ability to see its surroundings in real time. However, the accuracy of LiDAR can be reduced, especiall...
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| Language: | English |
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MDPI AG
2025-05-01
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| Series: | Journal of Sensor and Actuator Networks |
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| Online Access: | https://www.mdpi.com/2224-2708/14/3/56 |
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| author | Saulius Japertas Rūta Jankūnienė Roy Knechtel |
| author_facet | Saulius Japertas Rūta Jankūnienė Roy Knechtel |
| author_sort | Saulius Japertas |
| collection | DOAJ |
| description | Thanks to light detection and ranging (LiDAR), unmanned ground vehicles (UGVs) are able to detect different objects in their environment and measure the distance between them. This device gives the ability to see its surroundings in real time. However, the accuracy of LiDAR can be reduced, especially in rainy weather, fog, urban smog and the like. These factors can have disastrous consequences as they increase the errors in the vehicle’s control computer. The aim of this research was to determine the most appropriate LiDAR frequency for static objects, depending on the distance to them and the scanning frequency in different weather conditions; therefore, it is based on empiric data obtained by using the RoboPeak A1M8 LiDAR. The results obtained in rainy conditions are compared with the same ones in clear weather, using stochastic methods. A direct influence of both the frequencies used and the rain on the accuracy of the LiDAR measurements was found. The range measurement errors increase in rainy weather; as the scanning frequency increases, the results become more accurate but capture a smaller number of object points. The higher frequencies lead to about five times less error at the farthest distances compared to the lower frequencies. |
| format | Article |
| id | doaj-art-4f7a8a2362e74c0b9bbb4e7c426b9f6c |
| institution | Kabale University |
| issn | 2224-2708 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Sensor and Actuator Networks |
| spelling | doaj-art-4f7a8a2362e74c0b9bbb4e7c426b9f6c2025-08-20T03:27:33ZengMDPI AGJournal of Sensor and Actuator Networks2224-27082025-05-011435610.3390/jsan14030056Experimental Study of Lidar System for a Static Object in Adverse Weather ConditionsSaulius Japertas0Rūta Jankūnienė1Roy Knechtel2Transport Engineering Department, Kaunas University of Technology, K. Donelaičio St. 73, LT-44249 Kaunas, LithuaniaFaculty of Industrial Engineering and Technology, Lietuvos Inžinerijos Kolegija/Higher Education Institution, Tvirtovės al. 35, LT-50155 Kaunas, LithuaniaFaculty Electrical Engineering, Schmalkalden University of Applied Sciences, Blechhammer 4-9, D-98574 Schmalkalden, GermanyThanks to light detection and ranging (LiDAR), unmanned ground vehicles (UGVs) are able to detect different objects in their environment and measure the distance between them. This device gives the ability to see its surroundings in real time. However, the accuracy of LiDAR can be reduced, especially in rainy weather, fog, urban smog and the like. These factors can have disastrous consequences as they increase the errors in the vehicle’s control computer. The aim of this research was to determine the most appropriate LiDAR frequency for static objects, depending on the distance to them and the scanning frequency in different weather conditions; therefore, it is based on empiric data obtained by using the RoboPeak A1M8 LiDAR. The results obtained in rainy conditions are compared with the same ones in clear weather, using stochastic methods. A direct influence of both the frequencies used and the rain on the accuracy of the LiDAR measurements was found. The range measurement errors increase in rainy weather; as the scanning frequency increases, the results become more accurate but capture a smaller number of object points. The higher frequencies lead to about five times less error at the farthest distances compared to the lower frequencies.https://www.mdpi.com/2224-2708/14/3/56unmanned ground vehicleRoboPeak A1M8 laser scannerLiDARdistancestochastic methods |
| spellingShingle | Saulius Japertas Rūta Jankūnienė Roy Knechtel Experimental Study of Lidar System for a Static Object in Adverse Weather Conditions Journal of Sensor and Actuator Networks unmanned ground vehicle RoboPeak A1M8 laser scanner LiDAR distance stochastic methods |
| title | Experimental Study of Lidar System for a Static Object in Adverse Weather Conditions |
| title_full | Experimental Study of Lidar System for a Static Object in Adverse Weather Conditions |
| title_fullStr | Experimental Study of Lidar System for a Static Object in Adverse Weather Conditions |
| title_full_unstemmed | Experimental Study of Lidar System for a Static Object in Adverse Weather Conditions |
| title_short | Experimental Study of Lidar System for a Static Object in Adverse Weather Conditions |
| title_sort | experimental study of lidar system for a static object in adverse weather conditions |
| topic | unmanned ground vehicle RoboPeak A1M8 laser scanner LiDAR distance stochastic methods |
| url | https://www.mdpi.com/2224-2708/14/3/56 |
| work_keys_str_mv | AT sauliusjapertas experimentalstudyoflidarsystemforastaticobjectinadverseweatherconditions AT rutajankuniene experimentalstudyoflidarsystemforastaticobjectinadverseweatherconditions AT royknechtel experimentalstudyoflidarsystemforastaticobjectinadverseweatherconditions |