Traffic signs are essentially needed to obey the traffic rules. Once a driver ignores the signs,
especially those critical signs, due to the complexity of actual traffic scenes or the influence …

The efficient and accurate identification of traffic signs is crucial to the safety and reliability of
active driving assistance and driverless vehicles. However, the accurate detection of traffic …

Autonomous vehicle navigation technology is increasing rapidly. However, automatic sign
recognition in complex illumination environments like low-light, hazy regions is a significant …

In a foggy traffic environment, the vision sensor signal of intelligent vehicles will be distorted,
the outline of obstacles will become blurred, and the color information in the traffic road will …

In challenging lighting conditions, such as haze, rain, and weak lighting condition, the
accuracy of traffic sign recognition is not very high due to missed detection or incorrect …

Aiming at the problem of poor detection accuracy and inaccurate positioning of traffic signs
under foggy conditions, this paper proposes an improved YOLOv3 detection algorithm …

With the rise of machine learning and deep learning, the accuracy and speed of traffic sign
recognition in the direction of computer vision have been continuously improved in recent …

As an advanced machine vision task, traffic sign recognition is of great significance to the
safe driving of autonomous vehicles. Haze has seriously affected the performance of traffic …

Convolutional neural network (CNN)-based autonomous driving object detection algorithms
have excellent detection results on conventional datasets, but the detector performance can …

Due to the improvement in the car manifacture, the rate of road traffic accidents is increasing.
To solve these problems, there is loads of attention in research on the development of driver …