jokerjohn / paloc Goto Github PK

Hello,

I'm happy to find the PALoc repository on GitHub, and I must say, I'm thoroughly impressed with the approach your team has developed for generating high-fidelity, dense 6-DoF ground truth trajectories. The concept of enhancing the evaluation of SLAM under diverse environmental conditions seems particularly promising. I believe that the robustness in degenerate conditions and advanced uncertainty analysis are critically important features that can significantly benefit the SLAM research community.

Could you please share the anticipated timeline for when the code and the associated paper might be available? Many researchers and practitioners in the community, myself included, are looking forward to exploring your framework and potentially contributing to its development.

Thank you for your dedication to advancing SLAM technologies, and I am looking forward to your response.

博主您好，看完PALoc的paper,觉得其是一篇amazing的论文，我想咨询一下具体的开源时间是什么时候，很抱歉打扰到您。不胜感激！

Hi @JokerJohn Thanks for your great works!
sorry to bother you， When is the code expected to be open source? Thanks！

How to restore the degenerate dimension from Hessian matrix or its svd result? And which frame is base on? (World frame or Body frame ?)