Closed cgbcgb closed 4 years ago
Actually, the result of isc-loam is better than floam if you compare the trajectory with ground truth. However, the way KITTI dataset estimates trajectory is a little bit different. They collect short term odometer instead of long term, so that loop closure does not contribute to the result. You may check their website for the source code of odometry evaluation. In the meanwhile, there is some parameter change in the floam.
Actually, the result of isc-loam is better than floam if you compare the trajectory with ground truth. However, the way KITTI dataset estimates trajectory is a little bit different. They collect short term odometer instead of long term, so that loop closure does not contribute to the result. You may check their website for the source code of odometry evaluation. In the meanwhile, there is some parameter change in the floam.
You means that the evaluation method of KITTI can't quantitatively evaluate the real translation or rotation error correctly ?
Note that on KITTI website From all test sequences, our evaluation computes translational and rotational errors for all possible subsequences of length (100,...,800) meters.
The odometry is estimated locally
Note that on KITTI website From all test sequences, our evaluation computes translational and rotational errors for all possible subsequences of length (100,...,800) meters.
The odometry is estimated locally
OK,I got it, Thanks ^_^
Hey,I have a question,why your FLOAM(lidar odometry only) is better than your ISCLOAM(with loop closure)in KITTI test dataset(sequence 11 ~ 21)?