Results 31 to 40 of about 7,361 (251)

Comparative Experiment and Performance Evaluation of Three Different Models of Traffic Sign Recognition System [PDF]

ITM Web of Conferences
Traffic sign recognition is one of the key tasks of intelligent transportation system, which is of great significance to improve traffic safety and efficiency.
Wang Lisheng
doaj   +1 more source

Detection and Recognition of Obscured Traffic Signs During Vehicle Movement

IEEE Access, 2023
The present study proposes an algorithm to extract obscured traffic sign information from road driving images and fuse it with the vehicle movement process by integrating the vehicle speed.
Shi Luo, Chenghang Wu, Lingen Li
doaj   +1 more source

How Can Sustainable Public Transport Be Improved? A Traffic Sign Recognition Approach Using Convolutional Neural Network

Energies, 2022
Sustainable public transport is an important factor to boost urban economic development, and it is also an important part of building a low-carbon environmental society.
Jingjing Liu, Hongwei Ge, Jiajie Li, Pengcheng He, Zhangang Hao, Michael Hitch   +5 more
doaj   +1 more source

Traffic sign classification using CNN and detection using faster-RCNN and YOLOV4

Heliyon, 2022
Autonomous driving cars are becoming popular everywhere and the need for a robust traffic sign recognition system that ensures safety by recognizing traffic signs accurately and fast is increasing.
Njayou Youssouf
doaj   +1 more source

MicronNet: A Highly Compact Deep Convolutional Neural Network Architecture for Real-Time Embedded Traffic Sign Classification

IEEE Access, 2018
Traffic sign recognition is a very important computer vision task for a number of real-world applications such as intelligent transportation surveillance and analysis. While deep neural networks have been demonstrated in recent years to provide the state-
Alexander Wong, Mohammad Javad Shafiee, Michael St. Jules   +2 more
doaj   +1 more source

Multi-Feature Fusion and Enhancement Single Shot Detector for Traffic Sign Recognition

IEEE Access, 2020
Road traffic sign detection and recognition play an important role in advanced driver assistance systems (ADAS) by providing real-time road sign perception information.
Yanmei Jin, Yusheng Fu, Wenqin Wang, Jinhong Guo, Chunhui Ren, Xin Xiang   +5 more
doaj   +1 more source

Deep Learning-Based Real-Time Traffic Sign Recognition System for Urban Environments

Infrastructures, 2023
A traffic sign recognition system is crucial for safely operating an autonomous driving car and efficiently managing road facilities. Recent studies on traffic sign recognition tasks show significant advances in terms of accuracy on several benchmarks ...
Chang-il Kim, Jinuk Park, Yongju Park, Woojin Jung, Yong-seok Lim   +4 more
doaj   +1 more source

Deep learning in Transportation: Optimized driven deep residual networks for Arabic traffic sign recognition

Alexandria Engineering Journal, 2023
Car manufacturers around the globe are in a race to design and build driverless cars. The concept of driverless is also being applied to any moving vehicle such as wheelchairs, golf cars, tourism carts in recreational parks, etc. To achieve this ambition,
Ghazanfar Latif, Danyah Adel Alghmgham, R. Maheswar, Jaafar Alghazo, Fadi Sibai, Moustafa H. Aly   +5 more
doaj   +1 more source

Rectangular Traffic Sign Recognition [PDF]

, 2005
In this research the problem of the automatic detection and classification of rectangular road sign has been faced. The first step concerns the robust identification of the rectangular sign, through the search of gray level discontinuity on the image and Hough transform.
R. BALLERINI, CINQUE, LUIGI, L. LOMBARDI, R. MARMO   +3 more
openaire   +2 more sources

Traffic Sign Recognition based on Synthesised Training Data

Big Data and Cognitive Computing, 2018
To deal with the richness in visual appearance variation found in real-world data, we propose to synthesise training data capturing these differences for traffic sign recognition.
Alexandros Stergiou, Grigorios Kalliatakis, Christos Chrysoulas   +2 more
doaj   +1 more source