WUST Journal of Science and Technology (WUSTJST)
Efficient Route Planning and Navigation in Drones Using Pixhawk Autopilot
A S M Ahsanul Sarkar Akib, Abu Zahid Md Jalal Uddin, Azrin Nahar Anika, Mahadir Islam, Md. Easin Arafat, Touhid Bhuiyan
Abstract : The Pixhawk quadcopter drone is a highly adaptable and customizable drone system utilized globally in various applications, including national security, aerial mapping, surveillance, and exploration. Its open-source nature and community-driven approach enable users to customize the drone according to their own requirements. With its advanced features such as GPS tracking, a sophisticated camera system, and real-time monitoring functions, the Pixhawk drone is well-suited for activities including surveillance, infrastructure inspection, and search and rescue missions. Its capacity to navigate through densely populated metropolitan areas and provide superior aerial video and high-quality footage makes it an ideal solution for a range of users worldwide. The system architecture involves a comprehensive review of existing literature, case studies, and practical examples from leading autonomous Pixhawk drones. A structured framework is proposed for mapping areas, flying to a point, returning to the automatic starting point, and continuous monitoring capabilities. The study highlights the practical implications of implementing Pixhawk quadcopter drones. The drone's system architecture is based on the open-source flight controller, Pixhawk, which supports multiple flying modes and enables precise capturing of human pilot data.
keywords : Pixhawk , Autonomous drone , UAV , Mapping , Pixhawk Drone , Agriculture Drone , Navigation , GPS
Published In : The 6th International Conference on Artificial Intelligence, Robotics, and Control
Paper Resource :
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Published in: 2025 6th International Conference on Artificial Intelligence, Robotics and Control (AIRC)
Date of Conference: 07-09 May 2025
Date Added to IEEE Xplore: 15 July 2025
ISBN Information:
DOI: 10.1109/AIRC64931.2025.11077519
Publisher: IEEE
Conference Location: Savannah, GA, USA
ISBN Information:
Electronic ISBN:979-8-3315-4348-8
USB ISBN:979-8-3315-4347-1
Print on Demand(PoD) ISBN:979-8-3315-4349-5