Obtaining Object Information from Stereo Vision System for Autonomous Vehicles

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

Standard

Obtaining Object Information from Stereo Vision System for Autonomous Vehicles. / Real-Moreno, Oscar; Rodriguez-Quinonez, Julio C.; Sergiyenko, Oleg et al.
Proceedings of 2021 IEEE 30th International Symposium on Industrial Electronics, ISIE 2021. Institute of Electrical and Electronics Engineers Inc., 2021. (IEEE International Symposium on Industrial Electronics; Vol. 2021-June).

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

Harvard

Real-Moreno, O, Rodriguez-Quinonez, JC, Sergiyenko, O, Flores-Fuentes, W, Mercorelli, P & Ramirez-Hernandez, LR 2021, Obtaining Object Information from Stereo Vision System for Autonomous Vehicles. in Proceedings of 2021 IEEE 30th International Symposium on Industrial Electronics, ISIE 2021. IEEE International Symposium on Industrial Electronics, vol. 2021-June, Institute of Electrical and Electronics Engineers Inc., 30th IEEE International Symposium on Industrial Electronics - ISIE 2021, Kyoto, Japan, 20.06.21. https://doi.org/10.1109/ISIE45552.2021.9576262

APA

Real-Moreno, O., Rodriguez-Quinonez, J. C., Sergiyenko, O., Flores-Fuentes, W., Mercorelli, P., & Ramirez-Hernandez, L. R. (2021). Obtaining Object Information from Stereo Vision System for Autonomous Vehicles. In Proceedings of 2021 IEEE 30th International Symposium on Industrial Electronics, ISIE 2021 (IEEE International Symposium on Industrial Electronics; Vol. 2021-June). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISIE45552.2021.9576262

Vancouver

Real-Moreno O, Rodriguez-Quinonez JC, Sergiyenko O, Flores-Fuentes W, Mercorelli P, Ramirez-Hernandez LR. Obtaining Object Information from Stereo Vision System for Autonomous Vehicles. In Proceedings of 2021 IEEE 30th International Symposium on Industrial Electronics, ISIE 2021. Institute of Electrical and Electronics Engineers Inc. 2021. (IEEE International Symposium on Industrial Electronics). doi: 10.1109/ISIE45552.2021.9576262

Bibtex

@inbook{d7acfc0eefc240f2b4e2dfa6d1cda71b,
title = "Obtaining Object Information from Stereo Vision System for Autonomous Vehicles",
abstract = "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.",
keywords = "autonomous vehicles, Camera calibration, object detection, object information, pixel to angle, stereo vision, Engineering",
author = "Oscar Real-Moreno and Rodriguez-Quinonez, {Julio C.} and Oleg Sergiyenko and Wendy Flores-Fuentes and Paolo Mercorelli and Ramirez-Hernandez, {Luis R.}",
year = "2021",
month = jun,
day = "20",
doi = "10.1109/ISIE45552.2021.9576262",
language = "English",
isbn = "978-1-7281-9022-8",
series = "IEEE International Symposium on Industrial Electronics",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "Proceedings of 2021 IEEE 30th International Symposium on Industrial Electronics, ISIE 2021",
address = "United States",
note = "30th IEEE International Symposium on Industrial Electronics - ISIE 2021, ISIE ; Conference date: 20-06-2021 Through 23-06-2021",
url = "https://www.isie2021.org/",

}

RIS

TY - CHAP

T1 - Obtaining Object Information from Stereo Vision System for Autonomous Vehicles

AU - Real-Moreno, Oscar

AU - Rodriguez-Quinonez, Julio C.

AU - Sergiyenko, Oleg

AU - Flores-Fuentes, Wendy

AU - Mercorelli, Paolo

AU - Ramirez-Hernandez, Luis R.

N1 - Conference code: 30

PY - 2021/6/20

Y1 - 2021/6/20

N2 - 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.

AB - 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.

KW - autonomous vehicles

KW - Camera calibration

KW - object detection

KW - object information

KW - pixel to angle

KW - stereo vision

KW - Engineering

UR - http://www.scopus.com/inward/record.url?scp=85118801283&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/ccdfcd68-63bb-31f6-8988-eec69c5b0fe0/

U2 - 10.1109/ISIE45552.2021.9576262

DO - 10.1109/ISIE45552.2021.9576262

M3 - Article in conference proceedings

AN - SCOPUS:85118801283

SN - 978-1-7281-9022-8

T3 - IEEE International Symposium on Industrial Electronics

BT - Proceedings of 2021 IEEE 30th International Symposium on Industrial Electronics, ISIE 2021

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 30th IEEE International Symposium on Industrial Electronics - ISIE 2021

Y2 - 20 June 2021 through 23 June 2021

ER -