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BDM

Memory-Efficient Boundary Map for Large-Scale Occupancy Grid Mapping (IJRR 2026)

Install / Use

/learn @hku-mars/BDM
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

<div align="center"> <h2>Memory-Efficient Boundary Map for Large-Scale Occupancy Grid Mapping</h2> <h3>The International Journal of Robotics Research (IJRR)' 26</h3> <br> Benxu Tang, Yunfan Ren, Yixi Cai, Fanze Kong, Wenyi Liu, Fangcheng Zhu, Longji Yin, Liuyu Shi <br>and Fu Zhang <p> <h45> <br> <img src='./assets/MARS_logo.svg' alt='HKU MaRS Lab' width="200"> <br> </h5> </p> <a href="https://www.bilibili.com/video/BV1sQPkzpEGk"><img alt="Bilibili" src="./assets/Video-Bilibili-blue.svg"/></a> <a href="https://www.youtube.com/watch?v=GzunpivVaag"><img alt="Youtube" src="./assets/Video-Youtube-red.svg"/></a> </div>

Updates

  • The code will be released very soon...
  • March. 2, 2026 - The final paper is now featured on Sage Journals.
  • Jan. 27, 2026 - 🎉 Our paper has been accepted by IJRR!

The accepted manuscript is also aviliable at here. The final version is available at Sage Journals

Highlight

Here is a visualization of the boundary map after the real-world navigation task. (Click to view the full navigation demo video) Video Demo

View on GitHub
GitHub Stars120
CategoryDevelopment
Updated18h ago
Forks2

Security Score

95/100

Audited on Apr 7, 2026

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