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Machine vision based traffic sign detection methods: Review, analyses and perspectives
C Liu, S Li, F Chang, Y Wang - Ieee Access, 2019 - ieeexplore.ieee.org
Traffic signs recognition (TSR) is an important part of some advanced driver-assistance
systems (ADASs) and auto driving systems (ADSs). As the first key step of TSR, traffic sign …
systems (ADASs) and auto driving systems (ADSs). As the first key step of TSR, traffic sign …
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 …
Deep learning for large-scale traffic-sign detection and recognition
Automatic detection and recognition of traffic signs plays a crucial role in management of the
traffic-sign inventory. It provides an accurate and timely way to manage traffic-sign inventory …
traffic-sign inventory. It provides an accurate and timely way to manage traffic-sign inventory …
Perceptual generative adversarial networks for small object detection
Detecting small objects is notoriously challenging due to their low resolution and noisy
representation. Existing object detection pipelines usually detect small objects through …
representation. Existing object detection pipelines usually detect small objects through …
A real-time Chinese traffic sign detection algorithm based on modified YOLOv2
J Zhang, M Huang, X **, X Li - Algorithms, 2017 - mdpi.com
Traffic sign detection is an important task in traffic sign recognition systems. Chinese traffic
signs have their unique features compared with traffic signs of other countries. Convolutional …
signs have their unique features compared with traffic signs of other countries. Convolutional …
Towards real-time traffic sign detection and classification
Y Yang, H Luo, H Xu, F Wu - IEEE Transactions on Intelligent …, 2015 - ieeexplore.ieee.org
Traffic sign recognition plays an important role in driver assistant systems and intelligent
autonomous vehicles. Its real-time performance is highly desirable in addition to its …
autonomous vehicles. Its real-time performance is highly desirable in addition to its …
Traffic sign recognition using a multi-task convolutional neural network
H Luo, Y Yang, B Tong, F Wu… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Although traffic sign recognition has been studied for many years, most existing works are
focused on the symbol-based traffic signs. This paper proposes a new data-driven system to …
focused on the symbol-based traffic signs. This paper proposes a new data-driven system to …
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 …
An intelligent tunnel firefighting system and small-scale demonstration
Disastrous fire event in the confined tunnel is a fatal hazard, threatening the lives of trapped
people and firefighters. Considering the rapid development of fire and the complex …
people and firefighters. Considering the rapid development of fire and the complex …
A real-time forecast of tunnel fire based on numerical database and artificial intelligence
The extreme temperature induced by fire and hot toxic smokes in tunnels threaten the
trapped personnel and firefighters. To alleviate the potential casualties, fast while …
trapped personnel and firefighters. To alleviate the potential casualties, fast while …