Publication:

A Tutorial on Quantitative Trajectory Evaluation for Visual(-Inertial) Odometry

Date

Date

Date
2018
Conference or Workshop Item
Published version

Citations

Citation copied

Zhang, Z., & Scaramuzza, D. (2018). A Tutorial on Quantitative Trajectory Evaluation for Visual(-Inertial) Odometry. 7244–7251. https://doi.org/10.1109/iros.2018.8593941

Abstract

Abstract

Abstract

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

Additional indexing

Creators (Authors)

  • Zhang, Zichao
    affiliation.icon.alt
  • Scaramuzza, Davide
    affiliation.icon.alt

Event Title

Event Title

Event Title
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Event Location

Event Location

Event Location
Madrid

Event Start Date

Event Start Date

Event Start Date
2018-11-01

Event End Date

Event End Date

Event End Date
2018-11-05

Publisher

Publisher

Publisher
IEEE

Page range/Item number

Page range/Item number

Page range/Item number
7244

Page end

Page end

Page end
7251

Item Type

Item Type

Item Type
Conference or Workshop Item

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Scope

Scope

Scope
Discipline-based scholarship (basic research)

Language

Language

Language
English

Date available

Date available

Date available
2019-10-29

ISBN or e-ISBN

ISBN or e-ISBN

ISBN or e-ISBN
978-1-5386-8094-0

OA Status

OA Status

OA Status
Green

Other Identification Number

Other Identification Number

Other Identification Number
merlin-id:18686

Official URL

Official URL

Official URL

Citations

Citation copied

Zhang, Z., & Scaramuzza, D. (2018). A Tutorial on Quantitative Trajectory Evaluation for Visual(-Inertial) Odometry. 7244–7251. https://doi.org/10.1109/iros.2018.8593941

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Files
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Files

Files

Files
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