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Mohammed Saïd Kasttet, Abdelouahid Lyhyaoui, Douae Zbakh, Adil Aramja and Abderazzek Kachkari
Recently, artificial intelligence and data science have witnessed dramatic progress and rapid growth, especially Automatic Speech Recognition (ASR) technology based on Hidden Markov Models (HMMs) and Deep Neural Networks (DNNs). Consequently, new end-to-...
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Chang-il Kim, Jinuk Park, Yongju Park, Woojin Jung and Yong-seok Lim
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. H...
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Roopdeep Kaur, Gour Karmakar and Muhammad Imran
In digital image processing, filtering noise is an important step for reconstructing a high-quality image for further processing such as object segmentation, object detection, and object recognition. Various image-denoising approaches, including median, ...
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Helton Agbewonou Yawovi, Masato Kikuchi and Tadachika Ozono
Car crashes, known also as vehicle collisions, are recurrent events that occur every day. As long as vehicles exist, vehicle collisions will, unfortunately, continue to occur. When a car crash occurs, it is important to investigate and determine the acto...
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Christine Dewi, Rung-Ching Chen, Yong-Cun Zhuang and Henoch Juli Christanto
Road markings and signs provide vehicles and pedestrians with essential information that assists them to follow the traffic regulations. Road surface markings include pedestrian crossings, directional arrows, zebra crossings, speed limit signs, other sim...
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Yawar Rehman, Hafsa Amanullah, Dost Muhammad Saqib Bhatti, Waqas Tariq Toor, Muhammad Ahmad and Manuel Mazzara
Traffic sign recognition is a key module of autonomous cars and driver assistance systems. Traffic sign detection accuracy and inference time are the two most important parameters. Current methods for traffic sign recognition are very accurate; however, ...
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Zoltán Fazekas, László Gerencsér and Péter Gáspár
A road environment-type (RET) detection function could improve the road awareness of inexperienced car drivers, especially in urban areas, and by doing so, it could slightly raise the urban traffic safety. A pragmatic implementation could make use of sta...
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Shao-Kuo Tai, Christine Dewi, Rung-Ching Chen, Yan-Ting Liu, Xiaoyi Jiang and Hui Yu
In the area of traffic sign detection (TSD) methods, deep learning has been implemented and achieves outstanding performance. The detection of a traffic sign, as it has a dual function in monitoring and directing the driver, is a big concern for driver s...
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Zoltán Fazekas, Lászlo Gerencsér, Péter Gáspár
Pág. 75 - 84
In the paper, logs of traffic signs - possibly recognized and recorded by an automatic traffic sign recognition system - are analyzed to detect change in some aspect of the road environment along a route and to locate the change point - also along the ro...
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Zoltán Fazekas, Gábor Balázs, László Gerencsér, Péter Gáspár
Pág. 341 - 348
Roadworks can be hazardous for both road workers and road users. Even with state-of-the-art safety measures in place, serious accidents do happen there, particularly when drivers do not heed roadwork signs and speed limits. Crashes at roadworks that invo...
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