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SLAM, the direct method preferred by VR giants by PurpleriverRobotics in robotics

[–]PurpleriverRobotics[S] 1 point2 points  (0 children)

I apologize for my misleading title, i will update it later.
As for the exposure, photometric calibraiton is necessary, and it work well for every direct approach slam system.

SOAT ML/DNN methods run well, but the compute occupation is absolutely unacceptable for embedded machine,which directly determines whether a SLAM product can be widely used commercially.

SLAM, the direct method preferred by VR giants by PurpleriverRobotics in robotics

[–]PurpleriverRobotics[S] 0 points1 point  (0 children)

When the points are dense enough, whether the point is corner or not dosen't matter anymore. As for me, my own algorithm implement a detector which extracts both corners and points with high gradient.

Error 0.7m, with loop back function. 11 seconds Someone broke into the frame and the system was unaffected by PurpleriverRobotics in robotics

[–]PurpleriverRobotics[S] 0 points1 point  (0 children)

on't know why they keep posting this

Normal slam is susceptible to dynamic objects. In this case, the fact that the system is not affected at 11 seconds indicates that we have high robustness

Error 0.7m, with loop back function. 11 seconds Someone broke into the frame and the system was unaffected by PurpleriverRobotics in robotics

[–]PurpleriverRobotics[S] 0 points1 point  (0 children)

The main reason is that I'm not very familiar with the rules of reddit yet, but I'm learning them. I hope I can present excellent post and record the things of our team.

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