Intelligent traffic systems represent one of the crucial domains in today's world, aiming to
enhance traffic management efficiency and road safety. However, current intelligent traffic …

High precision, strong reliability, and wide range of perception can provide essential data
support for the safe and efficient driving of autonomous vehicles. Based on the technology …

Object detection in unmanned aerial vehicle (UAV) images has become a popular research
topic in recent years. However, UAV images are captured from high altitudes with a large …

Traffic videos inherently differ from generic videos in their stationary camera setup, thus
providing a strong motion prior where objects often move in a specific direction over a short …

Current autonomous driving systems predominantly focus on 3D object perception from the
vehicle's perspective. However, the single-camera 3D object detection algorithm in the …

Traffic object detection under variable illumination is challenging due to the information loss
caused by the limited dynamic range of conventional frame-based cameras. To address this …

Autonomous driving has received much attention in the last decade as a key component of
intelligent transportation, and vehicle detection serves as a fundamental task for …

To address the current problems of insufficient vehicle detection accuracy and slow
detection speed in complex traffic monitoring scenarios, a lightweight vehicle detection …

Object detection, a quintessential task in the realm of perceptual computing, can be tackled
using a generative methodology. In the present study, we introduce a novel framework …

To address the problem that it is difficult to balance the accuracy and speed of vehicle
detection in current traffic monitoring scenarios, this paper proposes a lightweight vehicle …