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 …

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 …

Deep learning for large-scale traffic-sign detection and recognition

D Tabernik, D Skočaj - IEEE transactions on intelligent …, 2019 - ieeexplore.ieee.org
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 …

Perceptual generative adversarial networks for small object detection

J Li, X Liang, Y Wei, T Xu, J Feng… - Proceedings of the …, 2017 - openaccess.thecvf.com
Detecting small objects is notoriously challenging due to their low resolution and noisy
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 …

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 …

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 …

Real-time traffic sign recognition based on efficient CNNs in the wild

J Li, Z Wang - IEEE Transactions on Intelligent Transportation …, 2018 - ieeexplore.ieee.org
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 …

An intelligent tunnel firefighting system and small-scale demonstration

X Wu, X Zhang, Y Jiang, X Huang, GGQ Huang… - … and Underground Space …, 2022 - Elsevier
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 …

A real-time forecast of tunnel fire based on numerical database and artificial intelligence

X Wu, X Zhang, X Huang, F **ao, A Usmani - Building Simulation, 2022 - Springer
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 …