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Automatic Detection and Recognition of Text-Based Traffic Signs from Images
(Ieee-inst Electrical Electronics Engineers Inc, 2018-12-01)
Detection and recognition of texts in traffic signs has been widely studied and with the advance in image capture technology has helped to improve or to create new methods to achieve this issue. In this work, we presented ...
Mental representation of traffic signs and their classification: informative signs
(2021)
The effect of traffic signs in the driving behavior is not fully understood yet. The knowledge of humans’ cognitive processing of the meaning of traffic signs will improve response time to those signs and the decision ...
Mental representation of traffic signs and their classification: warning signs
(2019)
Elsevier Ltd The effect of traffic signs in the motor behavior of drivers is not fully understood yet. Knowing about how humans process the meaning of signs will improve response time to those signs and the decision making ...
Evaluation of algorithms for traffic sign detection
(2019-09-06)
Traffic sign detection is a crucial task in autonomous driving systems. Due to its importance, several techniques have been used to solve this problem. In this work, the three more common approaches are evaluated. The first ...
Evaluation of algorithms for traffic sign detection
(2019-09)
Traffic sign detection is a crucial task in autonomous driving systems. Due to its importance, several techniques have been used to solve this problem. In this work, the three more common approaches are evaluated. The first ...
Part of the studies in computational intelligence book series
(Springer, Cham, 2020-11)
Nowadays, machine learning algorithms are trendy and are used to solve different problems of autonomous vehicles obtaining good results. Among these algorithms, deep learning has emerged as an excellent alternative to ...
Real-Time Traffic Sign Detection and Recognition using CNN
(2020-03-01)
Traffic signs presents on streets and highways have a distinct set of features which may be used to differentiate each one from each other. We propose in this paper a real-time traffic sign detection and recognition algorithm ...