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Contribution Details

Type Conference or Workshop Paper
Scope Discipline-based scholarship
Published in Proceedings Yes
Title A Tutorial on Quantitative Trajectory Evaluation for Visual(-Inertial) Odometry
Organization Unit
Authors
  • Zichao Zhang
  • Davide Scaramuzza
Presentation Type paper
Item Subtype Original Work
Refereed Yes
Status Published in final form
Language
  • English
ISBN 978-1-5386-8094-0
Page Range 7244 - 7251
Event Title 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Event Type conference
Event Location Madrid
Event Start Date November 1 - 2018
Event End Date November 5 - 2018
Publisher IEEE
Abstract Text In this tutorial, we provide principled methods to quantitatively evaluate the quality of an estimated trajectory from visual(-inertial) odometry (VO/VIO), which is the foundation of benchmarking the accuracy of different algorithms. First, we show how to determine the transformation type to use in trajectory alignment based on the specific sensing modality (i.e., monocular, stereo and visual-inertial). Second, we describe commonly used error metrics (i.e., the absolute trajectory error and the relative error) and their strengths and weaknesses. To make the methodology presented for VO/VIO applicable to other setups, we also generalize our formulation to any given sensing modality. To facilitate the reproducibility of related research, we publicly release our implementation of the methods described in this tutorial.
Official URL http://rpg.ifi.uzh.ch/docs/IROS18_Zhang.pdf
Digital Object Identifier 10.1109/iros.2018.8593941
Other Identification Number merlin-id:18686
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