loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Juan Pablo Carrasco ; Arturo de la Escalera and José María Armingol

Affiliation: Intelligent Systems Lab. Universidad Carlos III de Madrid, Spain

Keyword(s): Road Sign Detection, Image Processing, Advanced Driver Assistance System, Road Sign Recognition, GPS Data, Tracking.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Data Manipulation ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Methodologies and Methods ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Soft Computing

Abstract: Advanced Driver Assistance Systems are used to increase the security of vehicles. Computer Vision is one of the main technologies used for this aim. Lane marks recognition, pedestrian detection, driver drowsiness or road sign detection and recognition are examples of these systems. The last one is the goal of this paper. A system that can detect and recognize road signs based on color and shape features is presented in this article. It will be focused on detection, especially the color space used, investigating on the case of road signs under shadows. The system, also tracks the road sign once it has been detected. It warns the driver in case of anomalous speed for the recognized road sign using the information from a GPS.

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 18.117.188.105

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:
Pablo Carrasco, J.; de la Escalera, A. and María Armingol, J. (2008). DRIVING WARNING SYSTEM BASED ON VISUAL PERCEPTION OF ROAD SIGNS. In Proceedings of the Third International Conference on Computer Vision Theory and Applications (VISIGRAPP 2008) - Volume 1: VISAPP; ISBN 978-989-8111-21-0; ISSN 2184-4321, SciTePress, pages 54-60. DOI: 10.5220/0001076800540060

@conference{visapp08,
author={Juan {Pablo Carrasco}. and Arturo {de la Escalera}. and José {María Armingol}.},
title={DRIVING WARNING SYSTEM BASED ON VISUAL PERCEPTION OF ROAD SIGNS},
booktitle={Proceedings of the Third International Conference on Computer Vision Theory and Applications (VISIGRAPP 2008) - Volume 1: VISAPP},
year={2008},
pages={54-60},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001076800540060},
isbn={978-989-8111-21-0},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the Third International Conference on Computer Vision Theory and Applications (VISIGRAPP 2008) - Volume 1: VISAPP
TI - DRIVING WARNING SYSTEM BASED ON VISUAL PERCEPTION OF ROAD SIGNS
SN - 978-989-8111-21-0
IS - 2184-4321
AU - Pablo Carrasco, J.
AU - de la Escalera, A.
AU - María Armingol, J.
PY - 2008
SP - 54
EP - 60
DO - 10.5220/0001076800540060
PB - SciTePress