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Robust point cloud registration based on semantic iterative closest point algorithm

Point cloud registration is a fundamental problem in computer vision, which is extremely challenging for LiDAR point clouds with a lot of noise, outliers, and poor initial position. To deal with these difficulties, this paper proposes a semantic-based iterative closest point algorithm, which utilize...

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Principais autores: Shaoyi Du, Tiancheng Shao, Canhui Tang, Wei Zeng, Zhiqiang Tian
格式: Artigo
語言:Inglês
出版: KeAi Communications Co. Ltd. 2026-05-01
叢編:Fundamental Research
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在線閱讀:http://www.sciencedirect.com/science/article/pii/S2667325825000822
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