The swift and precise detection of vehicles plays a significant role in intelligent transportation
systems. Current vehicle detection algorithms encounter challenges of high computational …

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 …

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 based on deep learning plays a vital role in various fields, such as
autopilot and intelligent transportation. Moreover, it presents a major development direction …

Nowadays, accurate and fast vehicle detection technology is of great significance for
constructing intelligent transportation systems in the context of the era of big data. This paper …

Vehicle detection in real-time is a challenging and important task. The existing real-time
vehicle detection lacks accuracy and speed. Real-time systems must detect and locate …

To address the challenges of high complexity, poor real-time performance, and low
detection rates for small target vehicles in existing vehicle object detection algorithms, this …

Aiming at the problems of target detection models in traffic scenarios including a large
number of parameters, heavy computational burden, and high application cost, this paper …

In complex traffic scenarios, it is crucial to develop a rapid and precise real-time detection
system for non-motorized vehicles to ensure safe driving. D-YOLO is a lightweight real-time …

Abstract In Automatic Driving System (ADS) and Driver Assistance System (DAS), object
detection plays a vital part. Nevertheless, existing real-time detection models for tiny vehicle …