https://github.com/mhorn11/deepclr Submitted on 25 May. 2021 14:56 by Markus Horn (Ulm University, Institute of Measurement, Control and Microtechnology)

Method
Detailed Results
From all test sequences (sequences 1121), our benchmark computes translational and rotational errors for all possible subsequences of length (5,10,50,100,150,...,400) meters. Our evaluation ranks methods according to the average of those values, where errors are measured in percent (for translation) and in degrees per meter (for rotation). Details for different trajectory lengths and driving speeds can be found in the plots underneath. Furthermore, the first 5 test trajectories and error plots are shown below.