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

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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Bibliographic Details
Main Authors: Deng, Yinan, Wang, Meiling, Yang, Yi, Wang, Danwei, Yue, Yufeng
Other Authors: School of Electrical and Electronic Engineering
Format: Journal Article
Language:English
Published: 2023
Subjects:
Engineering::Electrical and electronic engineering
Mobile Robots
Semantic Mapping
Online Access:https://hdl.handle.net/10356/172336

Internet

https://hdl.handle.net/10356/172336

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