In existing computing systems, such as edge computing and cloud computing, several
emerging applications and practical scenarios are mostly unavailable or only partially …

Due to the ever increasing traffic on roads, there has been a pressing need for Automatic
Vehicle Detection (AVD) systems, so that the real-time traffic can be observed as well as …

Detecting vehicles in aerial imagery plays an important role in a wide range of applications.
The current vehicle detection methods are mostly based on sliding-window search and …

Detection of arbitrarily rotated objects is a challenging task due to the difficulties of locating
the multi-angle objects and separating them effectively from the background. The existing …

In the remote sensing image processing field, the synthetic aperture radar (SAR) target-
detection methods based on convolutional neural networks (CNNs) have gained remarkable …

Vehicle detection in aerial images, being an interesting but challenging problem, plays an
important role for a wide range of applications. Traditional methods are based on sliding …

Vehicle detection with orientation estimation in aerial images has received widespread
interest as it is important for intelligent traffic management. This is a challenging task, not …

Growing vehicular traffic in urban areas creates a mess for authorities to handle city traffic.
With the lack of human resources, authorities are moving towards the use of smart and auto …

The availability of commercial UAVs and low-cost imaging devices has made the airborne
imagery popular and widely available. The aerial images are now extensively used for many …

Detection of small-sized targets in aerial views is a challenging task due to the smallness of
vehicle size, complex background, and monotonic object appearances. In this letter, we …