loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Quang Nhat Nguyen Le ; Abir Bhattacharyya ; Mamen Thomas Chembakasseril and Ronny Hartanto

Affiliation: Faculty of Technology and Bionics, Rhine-Waal University of Applied Sciences, Kleve, Germany

Keyword(s): Real-time Traffic Sign Detection and Recognition, Computer Vision, Autonomous Systems, Mini-rovers.

Abstract: Sign detection and recognition play vital roles in the field of self-driving vehicles. The aim of this paper is to introduce a real-time methodology that can be implemented on affordable single-board computers to classify varied traffic signs from the camera feed. The approach is to detect and recognise the colour and shape of the signs at first, then use the acquired information to access a hierarchy structure of the database in order to extract features of pre-existing templates. Finally, the template matching algorithm is applied to compare those features with potential Region Of Interest (ROI) based on a threshold value. We installed our system on a mini rover and tested it on a control urban traffic scenario. The measurements showed processing time ranging from 230ms to 800ms and 480ms to 1900ms on Jetson Nano and Raspberry Pi 3 Model B+ respectively.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.117.196.184

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Le, Q.; Bhattacharyya, A.; Chembakasseril, M. and Hartanto, R. (2020). Real-time Sign Detection and Recognition for Self-driving Mini Rovers based on Template Matching and Hierarchical Decision Structure. In Proceedings of the 12th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART; ISBN 978-989-758-395-7; ISSN 2184-433X, SciTePress, pages 208-215. DOI: 10.5220/0008969702080215

@conference{icaart20,
author={Quang Nhat Nguyen Le. and Abir Bhattacharyya. and Mamen Thomas Chembakasseril. and Ronny Hartanto.},
title={Real-time Sign Detection and Recognition for Self-driving Mini Rovers based on Template Matching and Hierarchical Decision Structure},
booktitle={Proceedings of the 12th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART},
year={2020},
pages={208-215},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008969702080215},
isbn={978-989-758-395-7},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 12th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART
TI - Real-time Sign Detection and Recognition for Self-driving Mini Rovers based on Template Matching and Hierarchical Decision Structure
SN - 978-989-758-395-7
IS - 2184-433X
AU - Le, Q.
AU - Bhattacharyya, A.
AU - Chembakasseril, M.
AU - Hartanto, R.
PY - 2020
SP - 208
EP - 215
DO - 10.5220/0008969702080215
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic