Conf-Net: Toward High-Confidence Dense 3D Point-Cloud with Error-Map Prediction
收藏DataCite Commons2024-12-16 更新2025-04-16 收录
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https://service.tib.eu/ldmservice/dataset/5731069b-82d4-4e6e-8e35-68f7315d5d29
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资源简介：
This work proposes a method for depth completion of sparse LiDAR data using a convolutional neural network which can be used to generate semi-dense depth maps and 3D point-clouds with significantly lower root mean squared error (RMSE) over state-of-the-art methods.
提供机构：
TIB
创建时间：
2024-12-16
