Closed WilliamWoo45 closed 1 year ago
Hi @WilliamWoo45, it's weird that the loops are added (black lines in the third image), but the optimization is not working. There might be some outliers in the graph that cause this problem. I'll try to reproduce this issue and fix it next week. Currently, the icp_fitness_score is set to a strict level, which ensures the correctness of the icp. In the next version, I'll fix the outlier removal module so the parameters of icp_fitness_score can be adjusted.
Hi @MaverickPeter,
Thanks for your update and release of the full usage demo!
I've tried to run the full usage bags in Docker. However, I found that if the parameter
icp_fitness_score
is set at 0.1 by default, most of the loop candidates would be rejected and the point cloud maps are only partially shown (please see figures below).If I increase the value of
icp_fitness_score
to 0.35, more loops would be accepted and I would be able to see more point clouds (please see figures below). But the 3 maps were still not fused and I'm not able to obtain a loop closed global map.So is there any possible reason for this? I'm guessing is the default parameters setting in the Docker fit for the full usage demo? What are the other important parameters that I need to fine-tune to obtain the good loop closure results for the full usage demo?
Cheers.
Best Regards, William
What version of video card driver are you using
Have you solved it? I have also encountered this problem
Hi @MaverickPeter,
Thanks for your update and release of the full usage demo!
I've tried to run the full usage bags in Docker. However, I found that if the parameter
icp_fitness_score
is set at 0.1 by default, most of the loop candidates would be rejected and the point cloud maps are only partially shown (please see figures below).If I increase the value of
icp_fitness_score
to 0.35, more loops would be accepted and I would be able to see more point clouds (please see figures below). But the 3 maps were still not fused and I'm not able to obtain a loop closed global map.So is there any possible reason for this? I'm guessing is the default parameters setting in the Docker fit for the full usage demo? What are the other important parameters that I need to fine-tune to obtain the good loop closure results for the full usage demo?
Cheers.
Best Regards, William