Object detection in aerial images, particularly of vehicles, is highly important in remote
sensing applications including traffic management, urban planning, parking space …

With the rapid advancements in the field of autonomous driving, the need for faster and more
accurate object detection frameworks has become a necessity. Many recent deep learning …

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

With the development of science and technology, the traditional industrial structures are
constantly being upgraded. As far as drones are concerned, an increasing number of …

In recent years, object detectors have been developed significantly, many general object
detectors have sprung up. However, these object detectors are design for general object …

Real-time detection of the pavement environment is an important part of autonomous driving
technology. This paper presents a real-time vehicle detection system based on embedded …

Intelligent vehicles should not only be able to detect various obstacles, but also identify their
categories so as to take an appropriate protection and intervention. However, the scenarios …

Compared with natural images, remote sensing targets have small and dense target shapes
as well as complex target backgrounds. As a result, insufficient detection accuracy and …

With the advancement of intelligent driving technology, researchers are paying more and
more attention to the identification of traffic signs. Although a detection method of traffic signs …

The task of locating and classifying different types of vehicles has become a vital element in
numerous applications of automation and intelligent systems ranging from traffic …