Obtaining Object Information from Stereo Vision System for Autonomous Vehicles

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

Authors

  • Oscar Real-Moreno
  • Julio C. Rodriguez-Quinonez
  • Oleg Sergiyenko
  • Wendy Flores-Fuentes
  • Paolo Mercorelli
  • Luis R. Ramirez-Hernandez

Autonomous navigation is a task that requires the most information it can get from its surroundings for safety, accuracy and decision making. This paper presents a stereo vision system capable of obtaining object information for autonomous vehicles. The stereo vision system is merged with an object detection algorithm to carry out this task. The merge between these systems is a proposal to create a vision system for autonomous navigation tasks that provides information about objects of interest in the field of view, such as object description, distance, height and width.

Original languageEnglish
Title of host publicationProceedings of 2021 IEEE 30th International Symposium on Industrial Electronics, ISIE 2021
Number of pages6
PublisherInstitute of Electrical and Electronics Engineers Inc.
Publication date20.06.2021
ISBN (print)978-1-7281-9022-8
ISBN (electronic)978-1-7281-9023-5 , 978-1-7281-9024-2
DOIs
Publication statusPublished - 20.06.2021
Event30th IEEE International Symposium on Industrial Electronics - ISIE 2021 - Virtual, Kyoto, Japan
Duration: 20.06.202123.06.2021
Conference number: 30
https://www.isie2021.org/

    Research areas

  • autonomous vehicles, Camera calibration, object detection, object information, pixel to angle, stereo vision
  • Engineering