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2870325142 / Sensors

Fisher-Information-Matrix-Based USBL Cooperative Location in USV–AUV Networks
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open-source #1

Open WLXM0922 opened 1 month ago

WLXM0922 commented 1 month ago

Hi, I wanted to express my appreciation for your excellent paper and the impressive results it presents. I'm looking forward to try it out. May I kindly inquire about the timeline for open-sourcing it?

2870325142 commented 2 weeks ago

Hi, I wanted to express my appreciation for your excellent paper and the impressive results it presents. I'm looking forward to try it out. May I kindly inquire about the timeline for open-sourcing it?

Hello! I'm sincerely sorry for the late response, since I have attended a conference and traveled in Europe for two weeks. Thanks for your interest in our work. I'll make it open-source after about two weeks.

Best regards, Jingzehua (MiMi) Xu

WLXM0922 commented 1 week ago

Hi, I wanted to express my appreciation for your excellent paper and the impressive results it presents. I'm looking forward to try it out. May I kindly inquire about the timeline for open-sourcing it?

Hello! I'm sincerely sorry for the late response, since I have attended a conference and traveled in Europe for two weeks. Thanks for your interest in our work. I'll make it open-source after about two weeks.

Best regards, Jingzehua (MiMi) Xu

Thank you very much for your reply! Looking forward to your work! Best wishes with you!

360ZMEM commented 1 day ago

Hi, I wanted to express my appreciation for your excellent paper and the impressive results it presents. I'm looking forward to try it out. May I kindly inquire about the timeline for open-sourcing it?

Hello, I'm Guanwen Xie, one of the authors of this paper. I would like to inform you that part of this paper has been open sourced to the repository 360ZMEM/USV-AUV-colab of our follow-up work utilizing reinforcement learning. Specifically, you can refer the implementation of the USBL estimator to the file tidewave_usbl.py and an example of optimizing ASV position by FISHER matrix to colab.py. Welcome to cite this paper and our follow-up work!