Lane Segmentation Data Augmentation for Heavy Rain Sensor Blockage Using Realistically Translated Raindrop Images and CARLA Simulator

Lane segmentation and Lane Keeping Assist System (LKAS) play a vital role in autonomous driving. While deep learning technology has significantly improved the accuracy of lane segmentation, real-world driving scenarios present various challenges. In particular, heavy rainfall not only obscures the r...

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Veröffentlicht in:	IEEE robotics and automation letters 2024-06, Vol.9 (6), p.5488-5495
Hauptverfasser:	Pahk, Jinu, Park, Seongjeong, Shim, Jungseok, Son, Sungho, Lee, Jungki, An, Jinung, Lim, Yongseob, Choi, Gyeungho
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Annotations Computer vision Computer vision for automation Data augmentation data sets for robotic vision Deep learning Generative adversarial networks Image segmentation Lane keeping Machine learning Mathematical models Rain Raindrops Rainfall Roads Robot vision systems simulation and animation Training Water drops Weather Windshields
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