Advanced Unmanned Aerial Vehicle (UAV) with Hybrid Propulsion and AI-Based Autopilot System

This paper presents the design and development of an advanced Unmanned Aerial Vehicle (UAV) equipped with a hybrid propulsion system, combining gasoline engines and solar panels to enhance flight endurance. The UAV integrates cutting-edge navigation technologies, including GPS, gyroscopic stabilization, real-time computer vision, and AI-powered autopilot. The project aims to deliver long-range, high-efficiency aerial operations for applications such as disaster relief, environmental monitoring, military reconnaissance, and smart delivery systems. Key features include real-time telemetry transmission, autonomous obstacle avoidance, payload delivery mechanisms, and robust ground control with video feedback.

Authors

Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2025-05-19
DOI
https://doi.org/10.22214/ijraset.2025.71052
Primary Topic
Robotic Path Planning Algorithms
Type
article
Field-Weighted Citation Impact
0.00
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article

Advanced Unmanned Aerial Vehicle (UAV) with Hybrid Propulsion and AI-Based Autopilot System

Anand Rawat
International Journal for Research in Applied Science and Engineering Technology
Robotic Path Planning Algorithms
article

Advanced Unmanned Aerial Vehicle (UAV) with Hybrid Propulsion and AI-Based Autopilot System

Anand Rawat
article en

Abstract

This paper presents the design and development of an advanced Unmanned Aerial Vehicle (UAV) equipped with a hybrid propulsion system, combining gasoline engines and solar panels to enhance flight endurance. The UAV integrates cutting-edge navigation technologies, including GPS, gyroscopic stabilization, real-time computer vision, and AI-powered autopilot. The project aims to deliver long-range, high-efficiency aerial operations for applications such as disaster relief, environmental monitoring, military reconnaissance, and smart delivery systems. Key features include real-time telemetry transmission, autonomous obstacle avoidance, payload delivery mechanisms, and robust ground control with video feedback.

International Journal for Research in Applied Science and Engineering TechnologyVol. 13(5)
Openalex Percentile: Top 91%
Robotic Path Planning Algorithms
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