Precise Adverse Weather Characterization by Deep-Learning-Based Noise Processing in Automotive LiDAR Sensors

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...

पूर्ण विवरण

ग्रंथसूची विवरण
मुख्य लेखकों:	Marcel Kettelgerdes, Nicolas Sarmiento, Hüseyin Erdogan, Bernhard Wunderle, Gordon Elger
स्वरूप:	लेख
भाषा:	English
प्रकाशित:	MDPI AG 2024-06-01
श्रृंखला:	Remote Sensing
विषय:	ADAS adverse weather weather classification artificial intelligence deep learning Vision Transformer
ऑनलाइन पहुंच:	https://www.mdpi.com/2072-4292/16/13/2407

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