Results 41 to 50 of about 264,006 (281)
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 +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 +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 +4 more
doaj +1 more source
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 +5 more
doaj +1 more source
Specialized ensemble of classifiers for traffic sign recognition [PDF]
, 2007 Proceeding of: 9th International Work-Conference on Artificial Neural Networks, IWANN 2007, San Sebastían, España, junio, 2007.Several complex problems have to be solved in order to build Advanced Driving Assistance Systems.
Alonso Weber, Juan Manuel +4 more
core +2 more sources
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 +3 more
openaire +2 more sources
Road traffic sign detection and classification [PDF]
, 1997 A vision-based vehicle guidance system for road vehicles can have three main roles: (1) road detection; (2) obstacle detection; and (3) sign recognition.
Armingol Moreno, José María +3 more
core +3 more sources
FPGA-Based Processor Acceleration for Image Processing Applications [PDF]
, 2019 FPGA-based embedded image processing systems offer considerable computing resources but present programming challenges when compared to software systems.
Amiri, Sam +6 more
core +2 more sources
Total Recall: Understanding Traffic Signs using Deep Hierarchical Convolutional Neural Networks
, 2018 Recognizing Traffic Signs using intelligent systems can drastically reduce the number of accidents happening world-wide. With the arrival of Self-driving cars it has become a staple challenge to solve the automatic recognition of Traffic and Hand-held ...
Kamran, Sharif Amit +2 more
core +1 more source
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 +2 more
doaj +1 more source