Abstract
Recently, intelligent transportation systems (ITS) attracts more and more attention for its wide applications. Traffic sign detection and recognition (TSDR) system is an essential task of ITS. It enhances the safety by informing the drivers about the current state of traffic signs and offering valuable information about precautions. This paper reviews the popular traffic sign detection methods (TSD) prevalent in recent literature. The methods are divided into color-based, shape-based, and machine learning based ones. Color space, segmentation method, features, and shape detection method are the terms considered in the review of the detection module. The paper presents a comparison between these methods. Furthermore, a list of publicly available data sets and a discussion on possible future works are provided.
Highlights
Advanced driver assistance systems (ADAS) are developed to enhance vehicle systems for safety and better driving
The German Traffic Sign Detection Benchmark (GTSDB) data set was created for a competition held at International Joint Conference on Neural Networks (IJCNN) 2013 (Houben et al, 2013)
Authors often refer to Sobel, Prewitt, or Canny detectors to extract the edges from grayscale images (Houben, 2011) (Ruta et al, 2011) (Deguchi et al, 2011) (El Jaafari et al, 2016a) (Timofte et al, 2014)
Summary
Advanced driver assistance systems (ADAS) are developed to enhance vehicle systems for safety and better driving. Safety features are made to avoid accidents by offering technologies that alert the driver to potential danger, or to avoid collisions by implementing safeguards and controlling the vehicle Their main difficulty is the perception of the environment of the vehicles in real outdoor scenes (El Jaafari et al, 2016b). TSDR plays a critical role for ADAS These systems aim at locating and identifying traffic signs within scene images. The TSDR problem is studied by representing a survey of the published works in the last 10 years including publicly available traffic sign data sets, and the detection stage of TSDR systems for intelligent transportation systems.
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
