Filters








3,480 Hits in 5.8 sec

Проблеми ефективного керування транспортними потоками

Г. Рубель, Т. Ліхоузова
2021 Adaptivni Sistemi Avtomatičnogo Upravlinnâ  
Another form of vehicle detection -is traffic flow measurement and automatic detection with video cameras [6] .  ...  method of detecting traffic.  ... 
doi:10.20535/1560-8956.38.2021.233191 fatcat:wo37r5rtrrb4fca7t4y6nn5fsi

Detection and Recognition of Road Traffic Signs - A Survey

Sumi K., Arun Kumar
2017 International Journal of Computer Applications  
For the detection and recognition of text and sign from traffic boards, appropriate methods must be applied to obtain accuracy.  ...  This method can be achieved by doing a survey on different methods used to detect and recognize text and signs from traffic boards.  ...  [5] proposed a Support Vector Machine(SVM) based automatic system for road-sign detection and recognition.  ... 
doi:10.5120/ijca2017913038 fatcat:6gap7z6otrgubjrvdxi23za6fm

An Insight into Traffic Light Discernment and Cognizance using Support Vector Machine, Multi Class Learning and Deep Learning Concepts

2020 International journal of recent technology and engineering  
This method will be simply fitted into ADAS vehicles once hardware thinks about. Recognition is as vital as detective work the traffic lights.  ...  This paper principally combines ideas of laptop vision, machine learning and deep learning for correct detection of traffic lights and their classifications.  ...  TSDR stands for Traffic Sign Recognition and Detection. A TSDR typically contains 3 stages: pre-processing, detection and recognition [2] . Secondly, it detects from the ROI given from the primary.  ... 
doi:10.35940/ijrte.a3074.059120 fatcat:azt3xdo4efcbbd2hqbqcooz2ju

Building Safety Road Maps Based on Difference of Judgment of Road Users by their Smartphone

Viet Chau, Hiroshi Sato, Masao Kubo, Akira Namatame
2015 International Journal of Advanced Computer Science and Applications  
Recently, there has been a growing demand and interest in developing methods for analyzing smartphone logs to extract traffic safety information.  ...  A real-world experiment was carried out, and the results show that the assumption and the proposed method succeeded in generating an accurate and effective traffic safety map.  ...  ACKNOWLEDGEMENT We would like to thank the Uraga police bureau for providing the accident data of Maborikaigan area.  ... 
doi:10.14569/ijacsa.2015.060902 fatcat:57nr6cypnvanhbgkfq5hspcwym

Identifying Various Roadways Obstacles in Infrastructure less Environment Using Depth Learning Approach

Chandra Kishor Pandey, Neeraj Kumar, Vinay Kumar Mishra, Abhishek Ba Bajpaipai
2017 Oriental journal of computer science and technology  
sign detection etc.  ...  To find road obstacles in an automated and cost-effective manner, this paper proposes an efficient method for finding and classifying various obstacles situations in infrastructure-free environment.  ... 
doi:10.13005/ojcst/10.03.05 fatcat:lmyc3widdnfhnavgt5dmwpsp4u

Smart Driver Assistance System for Accident Forestalling

2019 International Journal of Engineering and Advanced Technology  
The sign board is monitored by using webcam and the text from the image is converted into audio and it directs the driving person.  ...  Traffic accidents that happenedaround the worldare increasing a lot.  ...  CONCLUSION In this paper, a simple and efficient smart driver assistance system was illustrated for the findingof road sign have been anticipated and tested.  ... 
doi:10.35940/ijeat.a1022.1091s19 fatcat:bshenuqnb5djfb7mkxqxqywheu

Improved YOLOv5 network for real-time multi-scale traffic sign detection [article]

Junfan Wang, Yi Chen, Mingyu Gao, Zhekang Dong
2021 arXiv   pre-print
Traffic sign detection is a challenging task for the unmanned driving system, especially for the detection of multi-scale targets and the real-time problem of detection.  ...  Moreover, in practical application, it is difficult for common methods to improve the detection accuracy of multi-scale traffic signs while ensuring real-time detection.  ...  miss detection rate of each a balance between recognition accuracy and recognition method on 19 types of traffic signs speed.  ... 
arXiv:2112.08782v2 fatcat:kgizkm2dh5aznkhnvqgrc2ijdm

Community based repository for georeferenced traffic signs

Helder Novais, Antonio Ramires Fernandes
2017 2017 24º Encontro Português de Computação Gráfica e Interação (EPCGI)  
Next, the dataset is loaded, storing the size of the input images and the number of different traffic sign classes in the X and Y variables, respectively (Listing 4.7). import h5py h5f = h5py .  ...  TFLearn provides "layers" that represent an abstract set of operations to make building neural networks more convenient (Listing 4.8). network = conv_2d ( network , 32 , 3 , activation = ' relu ') network  ...  ACKNOWLEDGMENTS This work has been supported by COMPETE: POCI-01-0145-FEDER-007043 and FCT -Fundação para a Ciência e Tecnologia within the Project Scope: UID/CEC/00319/2013.  ... 
doi:10.1109/epcgi.2017.8124297 fatcat:shdj4pwgcjguteqqbhjn6witga

2019 Index IEEE Transactions on Intelligent Transportation Systems Vol. 20

2019 IEEE transactions on intelligent transportation systems (Print)  
., and Ma, J  ...  Kilicarslan, M., +, TITS Feb. 2019 522-533 Real-Time Traffic Sign Recognition Based on Efficient CNNs in the Wild.  ...  Smartphone-Based Drowsiness Detection and Warning System for Auto- motive Drivers.  ... 
doi:10.1109/tits.2020.2966388 fatcat:xkvww7uabzhlzgfz3yiecyb75y

A Comprehensive Study on Intelligent Transportation Systems

Ankur Mishra, Aayushi Priya
2018 SMART MOVES JOURNAL IJOSCIENCE  
It is an integrated system of people, roads and vehicles, designed to significantly contribute to improve road safety, efficiency and comfort, as well as environmental conservation through realization  ...  of smoother traffic by relieving traffic congestion.  ...  a "non-intrusive" method of traffic detection.  ... 
doi:10.24113/ijoscience.v4i10.167 fatcat:5xcrbs6fnffp5djqg5jzf646ni

Text recognition on traffic panels from street-level imagery

A. Gonzalez, L. M. Bergasa, J. Javier Yebes, J. Almazan
2012 2012 IEEE Intelligent Vehicles Symposium  
Experimental results on real images from Google Street View prove the efficiency of our proposal and give way to using street-level images for different applications on ITS such as traffic signs inventory  ...  Text detection and recognition in images taken in uncontrolled environments still remains a challenge in computer vision.  ...  The authors would like to thank Google for the images, which have been used only for research purposes. There is no commercial intention.  ... 
doi:10.1109/ivs.2012.6232157 dblp:conf/ivs/GonzalezBTA12 fatcat:k7bpoyjwtva3tpvccmnaxcmmji

Intelligent Vehicle Speed Controlling and Pothole Detection System

Aditya Anand, Rushiraj Gawande, Prathamesh Jadhav, Rima Shahapurkar, Anjali Devi, Nikhil Kumar, S.B. Sanap, V.K. Bhojwani, Mathew V K
2020 E3S Web of Conferences  
The proposed system set the maximum speed of vehicle with the help of sign board available on the roads which define the safe driving speed of vehicle for that area or road.  ...  Also to solve the potholes we are using ML algorithm and mobile phone accelerometer to detect the potholes, accelerometer vibrations are set.  ...  In this paper, we introduce an automatic detection and recognition system of speed-limit sign board that can handle different conditions of lighting and blurriness in images [5, 6] .  ... 
doi:10.1051/e3sconf/202017002010 fatcat:ezgcw5paljggzbrpviafetq4vq

Evaluation of Vision Transformers for Traffic Sign Classification

Yuping Zheng, Weiwei Jiang, Yan Huang
2022 Wireless Communications and Mobile Computing  
Traffic sign recognition is one of the most important tasks in autonomous driving.  ...  Specifically, there are performance gaps of up to 12.81%, 2.01%, and 4.37% existing for the German, Indian, and Chinese traffic sign datasets, respectively.  ...  An improved traffic sign detection and recognition model is proposed for intelligent vehicles [21] , which is based on the classical LeNet-5 model.  ... 
doi:10.1155/2022/3041117 fatcat:h746niz5bbfu5fsmqnwmjhkvfi

Design and Implementation of an Application for Deploying Vehicular Networks with Smartphones

P. Caballero-Gil, C. Caballero-Gil, J. Molina-Gil
2013 International Journal of Distributed Sensor Networks  
This work is part of an experimental development of a wireless communication platform oriented to applications that allow improving road efficiency and safety, managing and monitoring road traffic, encouraging  ...  The proposed system consists of smartphones, sensors, and Wi-Fi hotspots 2.0, as well as complementary functionalities including access to network infrastructure via 3G, GPRS, and 4G.  ...  Acknowledgments This research was supported by the Spanish MINECO and the FEDER Fund under Projects TIN2011-25452 and IPT-2012-0585-370000.  ... 
doi:10.1155/2013/834596 fatcat:trckdo445jef5cq64ebdni7cw4

Scanning the Issue

Azim Eskandarian
2020 IEEE transactions on intelligent transportation systems (Print)  
An efficient algorithm for detection of vacant parking spaces in delimited and non-delimited lots is presented.  ...  detection compared with current practice.  ...  An automatic background construction and object detection method based on the polar coordinates of roadside LiDAR is proposed in this article.  ... 
doi:10.1109/tits.2020.3021574 fatcat:cpxn24tjyvbcxf3fodglepuwsi
« Previous Showing results 1 — 15 out of 3,480 results