Precise Adverse Weather Characterization by Deep-Learning-Based Noise Processing in Automotive LiDAR Sensors
With current advances in automated driving, optical sensors like cameras and LiDARs are playing an increasingly important role in modern driver assistance systems. However, these sensors face challenges from adverse weather effects like fog and precipitation, which significantly degrade the sensor p...
| Hauptverfasser: | , , , , |
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| Format: | Artikel |
| Sprache: | English |
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MDPI AG
2024-06-01
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| Schriftenreihe: | Remote Sensing |
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| Online Zugang: | https://www.mdpi.com/2072-4292/16/13/2407 |