In this paper, an extensive review for objects and drones (AUVs) detection and tracking is
presented. The article presents state of the art methods used in detection and tracking of …

Smart cities are being developed worldwide with the use of technology to improve the
quality of life of citizens and enhance their safety. Video surveillance is a key component of …

Unmanned aerial vehicles (UAV) have been widely used in various fields, and their invasion
of security and privacy has aroused social concern. Several detection and tracking systems …

Vehicle detection and tracking technology plays an important role in intelligent
transportation management and control systems. This paper proposes a novel vehicle …

Drones are becoming increasingly popular not only for recreational purposes but also in a
variety of applications in engineering, disaster management, logistics, securing airports, and …

We present a convolutional neural network (CNN) that identifies drone models in real-life
videos. The neural network is trained on synthetic images and tested on a real-life dataset of …

The use of drones in various applications has now increased, and their popularity among
the general public has increased. As a result, the possibility of their misuse and their …

Near infrared spectroscopy (NIR) provides rich information in agricultural operations and
experiments to determine crop parameters which are not visible to the human eye …

Abstract Three-dimensional (3D) multiobject tracking (MOT) is an essential perception task
for autonomous vehicles (AVs). Studies have indicated that multimodal data fusion can …

The challenge of tracking unmanned aerial vehicles (UAVs) is arising out of increasing their
market and spread usage in many applications. Miscuing UAVs can lead to potential threats …