A Survey on Deep Domain Adaptation for LiDAR Perception

2021 IEEE Intelligent Vehicles Symposium Workshops (IV Workshops)(2021)

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摘要
Scalable systems for automated driving have to reliably cope with an open-world setting. This means, the perception systems are exposed to drastic domain shifts, like changes in weather conditions, time-dependent aspects, or geographic regions. Covering all domains with annotated data is impossible because of the endless variations of domains and the time-consuming and expensive annotation process...
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关键词
Representation learning,Point cloud compression,Learning systems,Laser radar,Three-dimensional displays,Conferences,Cameras
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