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Multimedia based Real Time Traffic Sign Recognition System and its Analysis
2015
Indian Journal of Science and Technology
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Background/Objectives: Traffic sign recognition system is a multimedia based real time which guides and assist the driver visually with audio to decrease the road accidents. ...
Findings: Proposed research paper introduces the traffic sign recognition system with multiple output formats like video and audio with the textual information of the tracked signs. ...
Now a day car is a basic need and some affordable traffic sign recognition systems for all types of cars are required to assist a driver. ...
doi:10.17485/ijst/2015/v8i15/70272
fatcat:xc3pl55z5nazzfpins4rnfev64
AUTOMATIC TRAFFIC SIGN DETECTION AND RECOGNITION USING MOBILE LIDAR DATA WITH DIGITAL IMAGES
2020
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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This paper presents a traffic sign detection and recognition method from mobile LiDAR data and digital images for intelligent transportation-related applications. ...
Next, traffic signs are identified from digital images simultaneously collected from the multi-sensor mobile LiDAR systems via a convolutional capsule network model. ...
Contact corresponding author via guanhy.nj@nuist.edu.cn for more information about the software tools used in this study. ...
doi:10.5194/isprs-archives-xliii-b3-2020-599-2020
fatcat:wilpzor7yzclnhprt2nrz6qmzu
Traffic Sign Recognition with Invariance to Lighting in Dual-Focal Active Camera System
2012
IEICE transactions on information and systems
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Finally, based on the proposed system, a set of experiments in the domain of traffic sign recognition is presented. ...
In this paper, we present an automatic vision-based traffic sign recognition system, which can detect and classify traffic signs at long distance under different lighting conditions. ...
Before we discuss the performance of traffic signs recognition, we firstly analyze how to extend our system for the recognition of other traffic signs. ...
doi:10.1587/transinf.e95.d.1775
fatcat:cixthyyb2vbsfigadkf237ktue
Traffic Sign Recognition Using CNN
2022
International Journal for Research in Applied Science and Engineering Technology
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Based on Convolutional Neural Networks, we offer a method for detecting traffic signs (CNN). ...
Using our model, we can read and understand traffic signs, which is a critical function for all autonomous vehicles. ...
knowledge Labeling of traffic signs. ...
doi:10.22214/ijraset.2022.44532
fatcat:kmoqd5akcfallkkyemroy2cnii
Study of Traffic Sign Detection and Recognition Algorithms
2016
International Journal of Science and Research (IJSR)
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In today's era of autonomous vehicles and connected cars, traffic sign detection and recognition is an important feature of autonomous vehicles and advanced driver assistance systems. ...
Recent times have seen the emergence of a large number of public datasets corresponding to different countries, over which traffic sign detection and recognition techniques are being employed. ...
The pLSA method gave an overall recognition accuracy of 98.14%. In [8] , the author presents a traffic sign recognition system for roadside images in poor conditions. ...
doi:10.21275/v5i5.nov163967
fatcat:ilpgk5prinhzlcwkvc3s6qpzmi
A Traffic Signal Recognition Algorithm Based on Self-paced Learning and Deep Learning
2020
Ingénierie des Systèmes d'Information
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Traffic signal recognition is a critical function of the intelligent vehicle system (IVS). Many algorithms can achieve a high accuracy in traffic signal recognition. ...
Here, the support vector machine (SVM) is adopted as the classifier for traffic sign detection, and the convolutional neural network (CNN) is employed as the classifier for traffic sign recognition. ...
INTRODUCTION Traffic signal recognition is a critical function of the intelligent vehicle system (IVS). ...
doi:10.18280/isi.250211
fatcat:3iuscxdtvrh7dg5nf35llojyke
Implementation paper of Traffic Signal Detection and Recognition using deep learning
2021
Turkish Journal of Computer and Mathematics Education
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A real-time automatic sign detection and recognition can help the driver, significantly increasing his/her safety. ...
Lately traffic sign recognition has got an immense interest lately by large scale companies such as Google, Apple and Volkswagen etc. which is driven by the market needs for intelligent applications such ...
Automatic recognition of traffic signs is also important for an automated intelligent driving vehicle or for a driver assistance system. ...
doi:10.17762/turcomat.v12i1s.1760
fatcat:du4clxw6rjdpzkn54u5n3uirqa
Real-time traffic sign detection and recognition using Raspberry Pi
2022
International Journal of Power Electronics and Drive Systems (IJPEDS)
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In this work, a traffic sign recognition system has been developed to increase the safety of the road users by installing the system inside the car for driver's awareness. ...
of the traffic signs. ...
ACKNOWLEDGEMENTS Authors would like to thank Centre of Research and Innovation Management (CRIM), Universiti Teknikal Malaysia Melaka (UTeM), and Ministry of Education, Malaysia for supporting this research ...
doi:10.11591/ijece.v12i1.pp331-338
fatcat:7jaae6lcyve7hnko4nwdxb4yhq
Real Time Traffic Signboard Detection and Recognition from Street Level Imagery for Smart Vehicle
2016
International Journal of Computer Applications
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In this research project a novel system for the automatic detection and recognition of text and symbol in traffic signs is proposed. Search regions with in the image must be defined. ...
The text or symbol detection and recognition from traffic panels is a challenging problem. ...
One is Symbol detection and recognition and second one is text detection and recognition. The first stage of the proposed system detects candidates for text-based traffic signs. ...
doi:10.5120/ijca2016908267
fatcat:tyu3v66ooncnrp3rdxa466d4ra
Detection of Traffic Sign using Feature Based Method
2017
International Journal Of Engineering And Computer Science
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will be announced.in this system we have used a feature based method for traffic sign detection. ...
In this system we propose a novel system for the automatic detection and recognition of traffic sign. ...
We have used feature based method for traffic sign detection. ...
doi:10.18535/ijecs/v6i3.44
fatcat:ak7shu36qfb3dfuzkwlhy6xt7u
Traffic Sign Recognition System for Roadside Images in Poor Condition
2013
International Journal of Machine Learning and Computing
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Traffic sign detection and recognition is a difficult task, especially if we aim at detecting and recognizing signs in images captured under poor conditions. ...
In this paper we propose and test a system that employs image pre-processing, color filtering, color segmentation for traffic sign detection at the detection stage, feature extraction and trained neural ...
TRAFFIC SIGN DETECTION AND RECOGNITION SYSTEM
A. ...
doi:10.7763/ijmlc.2013.v3.285
fatcat:ok6er3krvjerzlzcx4w2t35aam
Real-Time Traffic Sign Recognition System based on Colour Image Segmentation
2013
International Journal of Computer Applications
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The traffic symbol system has been studies for many years. The system mainly has two phases, 1) Sign detection, 2) Recognition. ...
In recognition phase the detected traffic symbol is recognized using joint tranceform correlation (JTC) technique which is generally use for pattern matching. ...
This system is combination of knowledge based analysis and radial basis function neural classifier (RBFNN). ...
doi:10.5120/14430-2575
fatcat:jgvgwawpwjbkndhfic3qtbfpzy
Possibilities, Challenges And The State Of The Art Of Automatic Speech Recognition In Air Traffic Control
2015
Zenodo
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Based on this literature review, criteria for selecting speech recognition approaches for the ATC domain are presented, and remaining challenges and possible solutions are discussed. ...
Over the past few years, a lot of research has been conducted to bring Automatic Speech Recognition (ASR) into various areas of Air Traffic Control (ATC), such as air traffic control simulation and training ...
Simensen and Christian Raspotnig), Edda Systems AS, and WP3 of "User driven innovation in smart homes for health and energy" at Østfold University College for support in the work with this paper. ...
doi:10.5281/zenodo.1108427
fatcat:uo6ncwfaqjelrcnfgo5lhnfsdm
Computer Vision Systems in Road Vehicles: A Review
[article]
2013
arXiv
pre-print
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In this paper a review on computer vision systems in vehicles from the stand point of traffic engineering is given. ...
This trend accompanied a build-up of road infrastructure and development of various control systems to increase road traffic safety, road capacity and travel comfort. ...
The developed traffic sign detection and recognition system described in [20] is based on a video sequence analysis rather than a single image analysis. ...
arXiv:1310.0315v1
fatcat:nfqyfxqj6vh6rgu3byk5uyolvm
Joint interpretation of on-board vision and static GPS cartography for determination of correct speed limit
[article]
2010
arXiv
pre-print
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Our system is based on a joint interpretation of cartographic information (for static reference information) with on-board vision, used for traffic sign detection and recognition (including supplementary ...
The visual traffic sign detection part is quite robust (90% global correct detection and recognition for main speed signs, and 80% for exit-lane sub-signs detection). ...
TRAFFIC SIGN RECOGNITION Traffic Signs detection and Recognition (TSR) usually involves two main steps: 1/ detection of potential traffic signs in the image, based on the common shape/color design of sought ...
arXiv:1010.3867v1
fatcat:uij3mtvhffae7fwgze4w56isxm
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