交通标志检测与识别是无人驾驶三大模块中环境感知的研究热点之一, 检测和识别交通标志可以
向无人车传递道路交通信息, 优化行车决策. 在暴雨, 大雾以及光线昏暗等复杂环境下 …

Context: YOLO (You Look Only Once) is an algorithm based on deep neural networks with
real-time object detection capabilities. This state-of-the-art technology is widely available …

为了解决已有YOLOv3 算法对于存在小目标问题和背景复杂问题的交通标志检测任务会有较多
的误检和漏检的问题, 在YOLOv3 算法的基础上, 提出了目标检测的通道注意力方法和基于语义 …

This paper proposes a detector that focuses on multi-scale detection problems and
effectively enhances the detection performance to solve the problem that is hard to detect …

To solve the problem that the existing YOLOv3 algorithm had more false detections and
missed detections for traffic sign detection task with small target problems and complex …

In intelligent transportation systems, traditional object detection algorithms struggle to
handle complex environments and varying lighting conditions, particularly when detecting …

Effective traffic sign recognition algorithms can assist drivers or automatic driving systems in
detecting and recognizing traffic signs in real-time. This paper proposes a multiscale …

As one of the indispensable parts of the smart transportation system, traffic sign detection is
still an open challenge for the reason that traffic sign detection, one kind of small object …

In recent years, path planning, obstacle avoidance, traffic and road safety are some of the
major research areas for self-driving cars. A lot of research has been carried out by …

Visual perception systems enable autonomous vehicles to make right driving decisions in
dynamic driving environments. Traffic sign recognition is an important perception …