design an intelligent driver assistance system based on traffic sign detection with persian context
نویسندگان
چکیده
in recent years due to improvements of technology within automobile industry, design process of advanced driver assistance systems for collision avoidance and traffic management has been investigated in both academics and industrial levels. detection of traffic signs is an effective method to reach the mentioned aims. in this paper a new intelligent driver assistance system based on traffic sign detection with persian context is designed. the main goal of this system is to assist drivers to choose their path based on traffic signs more precisely. to reach this purpose, a new framework by using of fuzzy logic was used for detection of traffic signs in videos which have has been captured from a vehicle path in highways. fuzzy logic increases inference and intelligent capabilities in smart systems to make correct decision making in online conditions. then, the combination of maximally stable extermal regions (mser) and canny edge detector algorithms are used to detect road sign’s texts detection. mser algorithm is aimed at assists to detect regions in an image that differ in properties, for example in brightness or color, compared to surrounding regions. also, canny edge detector uses a multi-stage algorithm to detect a wide range of edges in the images. thereafter, morphological mask operator is used to join individual characters for final detection of texts in the traffic signs. finally, matlab optical character recognition (ocr) is employed to recognize the detected texts. this new framework gives an overall text detection and recognition rate of . .
منابع مشابه
Design an Intelligent Driver Assistance System Based On Traffic Sign Detection with Persian Context
In recent years due to improvements of technology within automobile industry, design process of advanced driver assistance systems for collision avoidance and traffic management has been investigated in both academics and industrial levels. Detection of traffic signs is an effective method to reach the mentioned aims. In this paper a new intelligent driver assistance system based on traffic...
متن کاملDetection and Recognition of Multi-language Traffic Sign Context by Intelligent Driver Assistance Systems
Design of a new intelligent driver assistance system based on traffic sign detection with Persian context is concerned in this paper. The primary aim of this system is to increase the precision of drivers in choosing their path with regard to traffic signs. To achieve this goal, a new framework that implements fuzzy logic was used to detect traffic signs in videos captured along a highway f...
متن کاملTraffic Sign Recognition for Intelligent Vehicle/Driver Assistance System Using Neural Network on OpenCV
Traffic Sign Recognition (TSR) is used to regulate traffic signs, warn a driver, and command or prohibit certain actions. A fast real-time and robust automatic traffic sign detection and recognition can support and disburden the driver and significantly increase driving safety and comfort. Automatic recognition of traffic signs is also important for automated intelligent driving vehicle or driv...
متن کاملFPGA-Based Traffic Sign Recognition for Advanced Driver Assistance Systems
This paper presents the implementation of an embedded automotive system that detects and recognizes traffic signs within a video stream. In addition, it discusses the recent advances in driver assistance technologies and highlights the safety motivations for smart in-car embedded systems. An algorithm is presented that processes RGB image data, extracts relevant pixels, filters the image, label...
متن کاملAn Intelligent Decision Support System for Driver Assistance Based on Vehicle, Driver and Road Environment Monitoring
This paper describes an intelligent decision support system, a part of the I-WAY platform, which uses internal (vehicle parameters) and external (road infrastructure messages) information to provide drivers with useful warnings about potential road hazards. One of the novel aspects of this study is that the psycho-physiological state of the driver is assessed and is taken into account in a twof...
متن کاملمنابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
international journal of automotive engineeringجلد ۶، شماره ۲، صفحات ۲۱۳۸-۲۱۴۷
میزبانی شده توسط پلتفرم ابری doprax.com
copyright © 2015-2023