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.