Testing and Validation of Automotive Point-Cloud Sensors in Adverse Weather Conditions
Light detection and ranging sensors (LiDARS) are the most promising devices for range sensing in automated cars and therefore, have been under intensive development for the last five years. Even though various types of resolutions and scanning principles have been proposed, adverse weather condition...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-06-01
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| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/9/11/2341 |
| _version_ | 1819212949373321216 |
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| author | Maria Jokela Matti Kutila Pasi Pyykönen |
| author_facet | Maria Jokela Matti Kutila Pasi Pyykönen |
| author_sort | Maria Jokela |
| collection | DOAJ |
| description | Light detection and ranging sensors (LiDARS) are the most promising devices for range sensing in automated cars and therefore, have been under intensive development for the last five years. Even though various types of resolutions and scanning principles have been proposed, adverse weather conditions are still challenging for optical sensing principles. This paper investigates proposed methods in the literature and adopts a common validation method to perform both indoor and outdoor tests to examine how fog and snow affect performances of different LiDARs. As suspected, the performance degraded with all tested sensors, but their behavior was not identical. |
| first_indexed | 2024-12-23T06:51:05Z |
| format | Article |
| id | doaj.art-1c6d0676f4804a088ec83c23fc163eed |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-12-23T06:51:05Z |
| publishDate | 2019-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-1c6d0676f4804a088ec83c23fc163eed2022-12-21T17:56:25ZengMDPI AGApplied Sciences2076-34172019-06-01911234110.3390/app9112341app9112341Testing and Validation of Automotive Point-Cloud Sensors in Adverse Weather ConditionsMaria Jokela0Matti Kutila1Pasi Pyykönen2VTT Technical Research Centre of Finland, P.O. Box 1300, FI-33101 Tampere, FinlandVTT Technical Research Centre of Finland, P.O. Box 1300, FI-33101 Tampere, FinlandVTT Technical Research Centre of Finland, P.O. Box 1300, FI-33101 Tampere, FinlandLight detection and ranging sensors (LiDARS) are the most promising devices for range sensing in automated cars and therefore, have been under intensive development for the last five years. Even though various types of resolutions and scanning principles have been proposed, adverse weather conditions are still challenging for optical sensing principles. This paper investigates proposed methods in the literature and adopts a common validation method to perform both indoor and outdoor tests to examine how fog and snow affect performances of different LiDARs. As suspected, the performance degraded with all tested sensors, but their behavior was not identical.https://www.mdpi.com/2076-3417/9/11/2341LiDARadverse weatherautomatic driving |
| spellingShingle | Maria Jokela Matti Kutila Pasi Pyykönen Testing and Validation of Automotive Point-Cloud Sensors in Adverse Weather Conditions Applied Sciences LiDAR adverse weather automatic driving |
| title | Testing and Validation of Automotive Point-Cloud Sensors in Adverse Weather Conditions |
| title_full | Testing and Validation of Automotive Point-Cloud Sensors in Adverse Weather Conditions |
| title_fullStr | Testing and Validation of Automotive Point-Cloud Sensors in Adverse Weather Conditions |
| title_full_unstemmed | Testing and Validation of Automotive Point-Cloud Sensors in Adverse Weather Conditions |
| title_short | Testing and Validation of Automotive Point-Cloud Sensors in Adverse Weather Conditions |
| title_sort | testing and validation of automotive point cloud sensors in adverse weather conditions |
| topic | LiDAR adverse weather automatic driving |
| url | https://www.mdpi.com/2076-3417/9/11/2341 |
| work_keys_str_mv | AT mariajokela testingandvalidationofautomotivepointcloudsensorsinadverseweatherconditions AT mattikutila testingandvalidationofautomotivepointcloudsensorsinadverseweatherconditions AT pasipyykonen testingandvalidationofautomotivepointcloudsensorsinadverseweatherconditions |