Unsupervised domain adaptation for depth completion from sparse LiDAR scans depth map

• 主要作者: Geng, Yue
• 其他作者: Wang Dan Wei
• 格式: Thesis-Master by Coursework
• 語言: English
• 出版: Nanyang Technological University 2022
• 主題: Engineering::Electrical and electronic engineering
• 在線閱讀: https://hdl.handle.net/10356/156769

Depth completion aims to predict the distance between objects on an image and the camera capturing the image from a LiDAR scans depth input, and the distance is expressed as a dense depth map. Denser scans depth input leads to better prediction, while the cost of the corresponding LiDAR equipment wi...