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

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

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...