Peize Liu, Chen Feng†, Yang Xu, Yan Ning, Hao Xu†, and Shaojie Shen
HKUST Aerial Robotics Group
†Corresponding Authors
Coming soon ~~~~
A Fully Open-source and Compact Aerial Robot with Omnidirectional Visual Perception
Home Page: https://hkust-aerial-robotics.github.io/OmniNxt/
License: GNU General Public License v3.0
hkust-aerial-robotics.github.io/OmniNxt/ links to FC-Planner, did you do it on purpose or accidentally?
Thank you for your excellent work.
In your paper, the cylinder undistortion method references [25], where the distortion parameter is based on Davide Scaramuzza's radial polynomial parameter model (k1, k2, k3, k4). They even use k1 to the focal length in the code(https://plaut.github.io/fisheye_tutorial/#cylindrical-images-to-the-rescue, https://github.com/valeoai/WoodScape/blob/master/scripts/calibration/example.py) .
Does OmniNxt use this parameter for undistortion?
if yes, do I need to use MATLAB to obtain these parameters, or can they be applied to the projection: MEI and radtan model?
I'm intrigued by your work on OmniNxt and have a few quick questions:
Greetings!
Are you planning to share the 3D models of the hardware platform? I'm keenly interested in working with similar projects.
Thank you to the HKUST research group for creating the open-source OmniNxt.
I would like to inquire if you could share the model of the Jetson NX Orin Carrier Board.
Additionally, if possible, could you provide a list of hardware components used by the HKUST research group to build OmniNxt? I intend to build a similar OmniNxt for my own research.
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