Safe Trajectory Planning for Safety Critical Drone Delivery

Amin Almozel; Eric Feron; Christian Cloiseau; Karen Vanderventer

doi:10.2514/6.2023-3547

Safe Trajectory Planning for Safety Critical Drone Delivery

Amin Almozel, Eric Feron, Christian Cloiseau, Karen Vanderventer

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

Abstract

Ensuring the safety of a drone over the course of its flight is essential. This work presents a pre-flight planner that can make supported claims about the safety of the system in the case of engine failure, which is cited to be the most damaging failure mode. The developed algorithm utilizes geographical data to generate the shortest trajectory under safety constraints while guaranteeing no violations of restricted airspace. This trajectory is optimized using the A* (A star) algorithm. The generated trajectory performs better in terms of proximity to safe landing spots throughout the course of the flight when compared to a selection of alternative trajectories, while minimizing the total length, as expected.

Original language	English (US)
Title of host publication	AIAA AVIATION 2023 Forum
Publisher	American Institute of Aeronautics and Astronautics
DOIs	https://doi.org/10.2514/6.2023-3547
State	Published - Jun 8 2023

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title = "Safe Trajectory Planning for Safety Critical Drone Delivery",

abstract = "Ensuring the safety of a drone over the course of its flight is essential. This work presents a pre-flight planner that can make supported claims about the safety of the system in the case of engine failure, which is cited to be the most damaging failure mode. The developed algorithm utilizes geographical data to generate the shortest trajectory under safety constraints while guaranteeing no violations of restricted airspace. This trajectory is optimized using the A* (A star) algorithm. The generated trajectory performs better in terms of proximity to safe landing spots throughout the course of the flight when compared to a selection of alternative trajectories, while minimizing the total length, as expected.",

author = "Amin Almozel and Eric Feron and Christian Cloiseau and Karen Vanderventer",

note = "KAUST Repository Item: Exported on 2023-06-14",

year = "2023",

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day = "8",

doi = "10.2514/6.2023-3547",

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AU - Almozel, Amin

AU - Feron, Eric

AU - Cloiseau, Christian

AU - Vanderventer, Karen

N1 - KAUST Repository Item: Exported on 2023-06-14

PY - 2023/6/8

Y1 - 2023/6/8

N2 - Ensuring the safety of a drone over the course of its flight is essential. This work presents a pre-flight planner that can make supported claims about the safety of the system in the case of engine failure, which is cited to be the most damaging failure mode. The developed algorithm utilizes geographical data to generate the shortest trajectory under safety constraints while guaranteeing no violations of restricted airspace. This trajectory is optimized using the A* (A star) algorithm. The generated trajectory performs better in terms of proximity to safe landing spots throughout the course of the flight when compared to a selection of alternative trajectories, while minimizing the total length, as expected.

AB - Ensuring the safety of a drone over the course of its flight is essential. This work presents a pre-flight planner that can make supported claims about the safety of the system in the case of engine failure, which is cited to be the most damaging failure mode. The developed algorithm utilizes geographical data to generate the shortest trajectory under safety constraints while guaranteeing no violations of restricted airspace. This trajectory is optimized using the A* (A star) algorithm. The generated trajectory performs better in terms of proximity to safe landing spots throughout the course of the flight when compared to a selection of alternative trajectories, while minimizing the total length, as expected.

UR - http://hdl.handle.net/10754/692576

UR - https://arc.aiaa.org/doi/10.2514/6.2023-3547

U2 - 10.2514/6.2023-3547

DO - 10.2514/6.2023-3547

M3 - Conference contribution

BT - AIAA AVIATION 2023 Forum

PB - American Institute of Aeronautics and Astronautics

ER -

Safe Trajectory Planning for Safety Critical Drone Delivery

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