Alternative Camera and Recommended Onboard Computer Model

[nyagato-00]

Hello,

Firstly, I would like to express my sincere gratitude for the resources shared in this repository. The information and tools provided have been incredibly valuable, and I truly appreciate the work and detail that has gone into this project.

I’m currently working to replicate this setup and am facing challenges in sourcing the MV-CA013-21UC camera within Japan. Therefore, I would like to inquire if an alternative camera could be used without issues.

1. Alternative Camera Options
   We are considering the FLIR BFS-U3-16S2C-CS as a replacement for the MV-CA013-21UC. This camera meets similar requirements, including resolution, frame rate, USB 3.0 interface, and Linux compatibility. Could this camera work seamlessly with the system? Additionally, if there are any recommended alternatives that would be better suited, we would appreciate any suggestions.

2. Onboard Computer Recommendations
   For the onboard computer, we are evaluating the NVIDIA Jetson Nano and Raspberry Pi 4 Model B. Would these models be appropriate for handling the real-time processing of LiDAR and camera data in this project? Alternatively, if there is a more suitable model for our needs, could you please advise on this? We are particularly interested in the required performance specifications and interface compatibility with both the camera and LiDAR.

Thank you very much again for your guidance and for the invaluable resources provided in this repository.

[SanghyunPark01]

To tell you my experience

1. Alternative Camera Options
   I composed the camera you want to use and it worked well. However, you need to modify the spinnaker ros driver.
   By implementing file IO using memory mapping(mmap in C++), Timestamp can be shared with other sensors.

2. Onboard Computer Recommendations
   Are you talking about FAST-LIVO? It's going to work without problems with data acquisition.
   If there is a problem with computing performance, I recommend to acquire the data(rosbag) and run it on another computer.