Work

AI-Based UAV Navigation Using IoT

Year: 2026

Type: article

Abstract: This project presents an AI-driven Unmanned Aerial Vehicle (UAV) system for autonomous aerial surveillance and real-time threat monitoring. It utilizes an IoT-enabled PIR sensor network to trigger immediate deployment. The UAV performs autonomous navigation and a 360-degree visual scan, employing the YOLOv8 model for real-time motion intelligence and intruder identification. A core innovation is the precision autonomous landing mechanism using ArUco markers for "nudge-based" alignment onto a self-centering, automated charging station, ensuring continuous operational readiness without manual intervention. This research provides a robust solution by integrating computer vision, flight control algorithms, and low-latency communication for automated site monitoring.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.24137998

Authors: Jyosula, Govardhan, Ampavathi, Anusha, Pandiri, Chathurya, Choudhary, Garima, Kandipatu, Manikanta Chowdhary

Language: English

Topic: UAV Applications and Optimization

Subfield: Aerospace Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7225818824

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