Thank you for the open algorithm! I run mars in UL test2 dataset with my 8th i7 cpu , evaluate the trajectory with the evaluate_ate.py of the tum_tools and get the ATE rmse 1.216667,which is more lower than what is show in paper.I was wondering how you evaluate the trajectory and do you have a clue to what's causing this！OVO.
Thank you for the open algorithm! I run mars in UL test2 dataset with my 8th i7 cpu , evaluate the trajectory with the evaluate_ate.py of the tum_tools and get the ATE rmse 1.216667,which is more lower than what is show in paper.I was wondering how you evaluate the trajectory and do you have a clue to what's causing this！OVO.