Integrating Manned Control Systems and Camera Feeds for Aerial Vehicle Control

We present a novel integration of Pixhawk autopilot technology with a manual control system utilizing a live camera feed for real-time mission control. TMotor FLAME and HobbyWing PLATINUM motors provide a powerful and stable source of lift and thrust. The Pixhawk (PX4) autopilot system provides a robust platform for autonomous missions in unmanned aerial vehicles (UAVs), offering precise control and navigation capabilities. Utilizing a Python library to transmit and interpret MAVlink messages, the aircraft responds to commands with meter-level accuracy. Instead of autonomous processing, the system relies on a real-time camera feed to provide operators with visual information, enabling manual adjustments during flight. This allows for responsive control in dynamic environments, ensuring adaptability to obstacles and changing conditions. We aim to highlight the synergy between the PX4 and manual control systems, demonstrating their combined potential to enhance UAV operations through real-time human oversight.

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Publication Details

Journal
UA Campus Repository (The University of Arizona)
Published
2025-10-01
Primary Topic
Aerospace and Aviation Technology
Type
article
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article

Integrating Manned Control Systems and Camera Feeds for Aerial Vehicle Control

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UA Campus Repository (The University of Arizona)
Aerospace and Aviation Technology
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Integrating Manned Control Systems and Camera Feeds for Aerial Vehicle Control

E. S. Grant, Cole Hersh, Lilly Gentry, Ahmad Qureshi, Aarush Parvataneni, Drake Russ, Alexia Segarra, Ryan Fong
article en

Abstract

We present a novel integration of Pixhawk autopilot technology with a manual control system utilizing a live camera feed for real-time mission control. TMotor FLAME and HobbyWing PLATINUM motors provide a powerful and stable source of lift and thrust. The Pixhawk (PX4) autopilot system provides a robust platform for autonomous missions in unmanned aerial vehicles (UAVs), offering precise control and navigation capabilities. Utilizing a Python library to transmit and interpret MAVlink messages, the aircraft responds to commands with meter-level accuracy. Instead of autonomous processing, the system relies on a real-time camera feed to provide operators with visual information, enabling manual adjustments during flight. This allows for responsive control in dynamic environments, ensuring adaptability to obstacles and changing conditions. We aim to highlight the synergy between the PX4 and manual control systems, demonstrating their combined potential to enhance UAV operations through real-time human oversight.

UA Campus Repository (The University of Arizona)
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Aerospace and Aviation Technology
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