Design of a user interface to estimate distance of moving explosive devices with stereo cameras

A. Andres Montoya, Lizardo Pari, C. Elvis Supo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This document presents the design of the user interface (UI) used in estimation of distance with stereo vision, this is part of a robotic assistance system for tracking explosive devices. First, it was developed an interface that improves operator comfort. Second, a CAMSHIFT-based algorithm was generated to track the selected target and third, a triangulation method was deployed to estimate distances with two non-convergent cameras. It was compared with actual measurements and other methods to assess the accuracy. The tests with various explosive devices showed the effectiveness of UI to track and estimate the distance of the object considerably quickly, due to its speed, it can be applied in real time. Also, tests show that the average accuracy of the distance estimate is greater than 98% in a range of 25 to 230 cm.

Original languageEnglish
Title of host publication2021 6th International Conference on Image, Vision and Computing, ICIVC 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages362-366
Number of pages5
ISBN (Electronic)9781665443685
DOIs
StatePublished - 23 Jul 2021
Event6th International Conference on Image, Vision and Computing, ICIVC 2021 - Qingdao, China
Duration: 23 Jul 202125 Jul 2021

Publication series

Name2021 6th International Conference on Image, Vision and Computing, ICIVC 2021

Conference

Conference6th International Conference on Image, Vision and Computing, ICIVC 2021
Country/TerritoryChina
CityQingdao
Period23/07/2125/07/21

Bibliographical note

Funding Information:
This work is part of a research project funded by the Universidad Nacional de San Agust?n de Arequipa, contract number IBA-IB-27-2020-UNSA, March 2020 - February 2022.

Funding Information:
ACKNOWLEDGMENT hiT s ow rk is part of a research rp oject funded by the niU versidad aN cional de San Agustın de Arequipa, contract number IAB -IB -27-2020-ASNU , March 2020 - eF bruary 2022 .

Publisher Copyright:
© 2021 IEEE.

Keywords

  • CAMSHIFT
  • Distance estimation
  • Stereo vision
  • User interface (UI)

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