SEE-CSOM: sharp-edged and efficient continuous semantic occupancy mapping for mobile robots

Generating an accurate and continuous semantic occupancy map is a key component of autonomous robotics. Most existing continuous semantic occupancy mapping methods neglect the potential differences between voxels, which reconstruct an overinflated map. What is more, these methods have high computati...

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Main Authors: Deng, Yinan, Wang, Meiling, Yang, Yi, Wang, Danwei, Yue, Yufeng
其他作者: School of Electrical and Electronic Engineering
格式: Article
語言:English
出版: 2023
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在線閱讀:https://hdl.handle.net/10356/172336
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