[HTML][HTML] Vision-based traffic sign detection and recognition systems: Current trends and challenges
The automatic traffic sign detection and recognition (TSDR) system is very important
research in the development of advanced driver assistance systems (ADAS). Investigations …
research in the development of advanced driver assistance systems (ADAS). Investigations …
An overview of traffic sign detection and classification methods
Y Saadna, A Behloul - International journal of multimedia information …, 2017 - Springer
Over the last few years, different traffic sign recognition systems were proposed. The present
paper introduces an overview of some recent and efficient methods in the traffic sign …
paper introduces an overview of some recent and efficient methods in the traffic sign …
Vision-based traffic sign detection and analysis for intelligent driver assistance systems: Perspectives and survey
A Mogelmose, MM Trivedi… - IEEE transactions on …, 2012 - ieeexplore.ieee.org
In this paper, we provide a survey of the traffic sign detection literature, detailing detection
systems for traffic sign recognition (TSR) for driver assistance. We separately describe the …
systems for traffic sign recognition (TSR) for driver assistance. We separately describe the …
DeepThin: A novel lightweight CNN architecture for traffic sign recognition without GPU requirements
For a safe and automated vehicle driving application, it is a prerequisite to have a robust and
highly accurate traffic sign detection system. In this paper, we proposed a novel energy …
highly accurate traffic sign detection system. In this paper, we proposed a novel energy …
Real-time traffic sign recognition based on efficient CNNs in the wild
Both unmanned vehicles and driver assistance systems require solving the problem of traffic
sign recognition. A lot of work has been done in this area, but no approach has been …
sign recognition. A lot of work has been done in this area, but no approach has been …
Fooling a real car with adversarial traffic signs
N Morgulis, A Kreines, S Mendelowitz… - arXiv preprint arXiv …, 2019 - arxiv.org
The attacks on the neural-network-based classifiers using adversarial images have gained a
lot of attention recently. An adversary can purposely generate an image that is …
lot of attention recently. An adversary can purposely generate an image that is …
A framework for visual saliency detection with applications to image thumbnailing
L Marchesotti, C Cifarelli… - 2009 IEEE 12th …, 2009 - ieeexplore.ieee.org
We propose a novel framework for visual saliency detection based on a simple principle:
images sharing their global visual appearances are likely to share similar salience …
images sharing their global visual appearances are likely to share similar salience …
Real-time traffic sign recognition in three stages
F Zaklouta, B Stanciulescu - Robotics and autonomous systems, 2014 - Elsevier
Abstract Traffic Sign Recognition (TSR) is an important component of Advanced Driver
Assistance Systems (ADAS). The traffic signs enhance traffic safety by informing the driver of …
Assistance Systems (ADAS). The traffic signs enhance traffic safety by informing the driver of …
Real-time traffic-sign recognition using tree classifiers
F Zaklouta, B Stanciulescu - IEEE Transactions on Intelligent …, 2012 - ieeexplore.ieee.org
Traffic-sign recognition (TSR) is an essential component of a driver assistance system
(DAS), providing drivers with safety and precaution information. In this paper, we evaluate …
(DAS), providing drivers with safety and precaution information. In this paper, we evaluate …
Traffic sign detection based on convolutional neural networks
We propose an approach for traffic sign detection based on Convolutional Neural Networks
(CNN). We first transform the original image into the gray scale image by using support …
(CNN). We first transform the original image into the gray scale image by using support …