System an Unmanned Aerial Vehicle Trajectory Generation in Real Time

Authors

DOI:

https://doi.org/10.18372/1990-5548.82.19379

Keywords:

real-time trajectory generation, AirSim, unmanned aerial vehicles, PX4 autopilot platform, R-CNN, QGroundControl

Abstract

This paper addresses the problem of real-time trajectory generation for unmanned aerial vehicles, emphasizing its importance for various applications such as search and rescue operations, environmental monitoring, and precision agriculture. The challenges associated with dynamic trajectory generation, including obstacle avoidance, adherence to mission constraints, and computational efficiency, are analyzed. A hybrid approach is proposed that integrates advanced path planning algorithms with real-time optimization techniques to ensure safe and efficient unmanned aerial vehicle navigation in complex environments. The system leverages onboard sensors and external data sources, such as GPS and LiDAR, for situational awareness and dynamic obstacle detection. A key feature of the proposed system is the ability to adapt the trajectory in response to real-time changes in the environment, ensuring robustness and reliability during autonomous flight. The implementation utilizes the PX4 autopilot platform, AirSim simulation environment, and QGroundControl software to validate the effectiveness of the proposed approach. The results demonstrate that the system achieves a balance between computational efficiency and trajectory accuracy, enabling its deployment in practical unmanned aerial vehicle applications.

Author Biographies

Victor Sineglazov , National Aviation University, Kyiv

Doctor of Engineering Science

Professor

Head of the Department Aviation Computer-Integrated Complexes

Faculty of Air Navigation Electronics and Telecommunications

Artem Nikulin, National Aviation University, Kyiv

Student

Aviation Computer Integrated Complexes Department

Faculty of Air Navigation, Electronics and Telecommunications

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Published

2024-12-27

Issue

Vol. 4 No. 82 (2024)

Section

AUTOMATION AND COMPUTER-INTEGRATED TECHNOLOGIES

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