Closed MickShen7558 closed 4 years ago
Hi, the calculation should be straightforward based on the formula given in [18]. But here's the matlab code I used:
function [delta_t, delta_deg] = compareTransform(A, B)
delta_t = norm(A(1:3, 4) - B(1:3, 4));
delta_R = A(1:3, 1:3)' * B(1:3, 1:3);
eul = rotm2eul(delta_R);
delta_deg = sum(abs(eul)) * 180 / pi;
end
Note that when running inference on the KITTI dataset using my model, you'll need to use the --randomize_points
flag. Otherwise the KITTI points are sorted in a particular order which will worsen the performance.
The results will vary a bit because of this, but should be near the reported values.
Zi Jian
Great, Thanks!
Hi Zi Jian,
I am trying to run your trained model on the KITTI dataset and see how good it is. Do you still keep the codes for calculating the RTE and RRE so that I can reproduce the result you have in Table 4?