A comprehensive survey and analysis of traffic sign recognition systems with hardware implementation
The continuous evolution of autonomous vehicles technologies has significantly elevated
the capabilities of intelligent transportation and road safety. Among these advancements …
the capabilities of intelligent transportation and road safety. Among these advancements …
A lightweight convolutional neural network (CNN) architecture for traffic sign recognition in urban road networks
Recognizing and classifying traffic signs is a challenging task that can significantly improve
road safety. Deep neural networks have achieved impressive results in various applications …
road safety. Deep neural networks have achieved impressive results in various applications …
A survey of FPGA-based vision systems for autonomous cars
On the road to making self-driving cars a reality, academic and industrial researchers are
working hard to continue to increase safety while meeting technical and regulatory …
working hard to continue to increase safety while meeting technical and regulatory …
[HTML][HTML] A Vision–Language Model-Based Traffic Sign Detection Method for High-Resolution Drone Images: A Case Study in Guyuan, China
J Yao, J Li, Y Li, M Zhang, C Zuo, S Dong, Z Dai - Sensors, 2024 - mdpi.com
As a fundamental element of the transportation system, traffic signs are widely used to guide
traffic behaviors. In recent years, drones have emerged as an important tool for monitoring …
traffic behaviors. In recent years, drones have emerged as an important tool for monitoring …
A two-stage road sign detection and text recognition system based on YOLOv7
CC Hsieh, CH Hsu, WH Huang - Internet of Things, 2024 - Elsevier
We developed a two-stage traffic sign recognition system to enhance safety and prevent
tragic traffic incidents involving self-driving cars. In the first stage, YOLOv7 was employed as …
tragic traffic incidents involving self-driving cars. In the first stage, YOLOv7 was employed as …
Adversarial attacks on autonomous driving systems in the physical world: a survey
Autonomous Driving Systems (ADS) represent a revolutionary advancement in
transportation and offer unprecedented safety and convenience. Real-world physical attacks …
transportation and offer unprecedented safety and convenience. Real-world physical attacks …
Improving traffic sign recognition results in urban areas by overcoming the impact of scale and rotation
R Yazdan, M Varshosaz - ISPRS Journal of Photogrammetry and Remote …, 2021 - Elsevier
Automatic detection and recognition of traffic signs have many applications. However, some
problems can affect the accuracy of the existing algorithms, such as changes in …
problems can affect the accuracy of the existing algorithms, such as changes in …
Overtaking mechanisms based on augmented intelligence for autonomous driving: Datasets, methods, and challenges
V Chamola, A Chougule, A Sam… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
The field of autonomous driving research has made significant strides toward achieving full
automation, endowing vehicles with self-awareness and independent decision making …
automation, endowing vehicles with self-awareness and independent decision making …
A survey of the inadequacies in traffic sign recognition systems for autonomous vehicles
Traffic sign recognition systems are crucial for autonomous vehicles. They assist
autonomous driving systems by collecting road-related information, such as speed limits …
autonomous driving systems by collecting road-related information, such as speed limits …
Traffic sign recognition using local vision transformer
A Farzipour, ON Manzari… - 2023 13th International …, 2023 - ieeexplore.ieee.org
Recognition of traffic signs is a crucial aspect of self-driving cars and driver assistance
systems, and machine vision tasks such as traffic sign recognition have gained significant …
systems, and machine vision tasks such as traffic sign recognition have gained significant …