Object Detection and Tracking with Autonomous UAV

TL;DR

This paper presents a comprehensive system for object detection and tracking using an autonomous UAV, integrating computer vision, deep learning, and communication technologies for effective target engagement and data sharing.

Contribution

It introduces an integrated approach combining multiple software technologies for UAV target detection, tracking, and data sharing in simulation.

Findings

Successful implementation of target locking and tracking

Effective data sharing among UAVs and ground stations

Demonstrated autonomous movement and control capabilities

Abstract

In this paper, a combat Unmanned Air Vehicle (UAV) is modeled in the simulation environment. The rotary wing UAV is successfully performed various tasks such as locking on the targets, tracking, and sharing the relevant data with surrounding vehicles. Different software technologies such as API communication, ground control station configuration, autonomous movement algorithms, computer vision, and deep learning are employed.