Depth Prediction Improvement for Near-Field iToF Lidar in Low-Speed Motion State

Current deep learning-based phase unwrapping techniques for iToF Lidar sensors focus mainly on static indoor scenarios, ignoring motion blur in dynamic outdoor scenarios. Our paper proposes a two-stage semi-supervised method to unwrap ambiguous depth maps affected by motion blur in dynamic outdoor s...

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發表在:	Sensors
Main Authors:	Mena Nagiub, Thorsten Beuth, Ganesh Sistu, Heinrich Gotzig, Ciarán Eising
格式:	Article
語言:	英语
出版:	MDPI AG 2024-12-01
主題:	near field Lidar iTOF depth correction estimation ambiguity
在線閱讀:	https://www.mdpi.com/1424-8220/24/24/8020