Vehicle detection is an important component of intelligent transportation systems and
autonomous driving. However, in real-world vehicle detection scenarios, the presence of …

A vehicle detection algorithm is of great significance for automatic driving technology.
Current vehicle detection algorithms suffer from the complex structure, high configuration of …

Vehicle detection technology is of great significance for realizing automatic monitoring and
AI-assisted driving systems. The state-of-the-art object detection method, namely, a class of …

Deep learning-based classification and detection algorithms have emerged as a powerful
tool for vehicle detection in intelligent transportation systems. The limitations of the number …

Object detection is becoming increasingly significant for autonomous-driving system.
However, poor accuracy or low inference performance limits current object detectors in …

Accurate and rapid response in complex driving scenarios is a challenging problem in
autonomous driving. If a target is detected, the vehicle will not be able to react in time …

As an effective means of solving collision problems caused by the limited perspective on
board, the cooperative roadside system is gaining popularity. To improve the vehicle …

Rapid and precise detection and classification of vehicles are vital for the intelligent
transportation systems (ITSs). However, due to small gaps between vehicles on the road …

Drone detection is a significant research topic due to the potential security threats posed by
the misuse of drones in both civilian and military domains. However, traditional drone …

Object detection is one of the key tasks in an automatic driving system. Aiming to solve the
problem of object detection, which cannot meet the detection speed and detection accuracy …