Method

Joint Forward-Backward Visual Odometry with Feedback using Multi-Camera Systems [JFBVO-FM]


Submitted on 1 Feb. 2023 13:28 by
Raghav Sardana (CSIR-Central Scientific Instruments Organisation)

Running time:0.1 s
Environment:1 core @ 3.4 Ghz (C/C++)

Method Description:
Joint Forward-Backward Visual Odometry with Feedback using Multi-Camera Systems
Parameters:
default parameters
Latex Bibtex:
@article{sardana2023improving,
title={Improving visual odometry pipeline with feedback from forward and backward motion estimates},
author={Sardana, Raghav and Karar, Vinod and Poddar, Shashi},
journal={Machine Vision and Applications},
volume={34},
number={2},
pages={24},
year={2023},
publisher={Springer}
}

Detailed Results

From all test sequences (sequences 11-21), 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.

Test Set Average


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Sequence 11


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Sequence 12


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Sequence 13


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Sequence 14


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Sequence 15


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