Efficient, real-time autonomous navigation system for small unmanned aircraft

With the continuous development of the UAV industry, the demand for small UAVs that can fly autonomously in unknown and complex scenarios is increasing. One of the core technologies is the autonomous obstacle avoidance navigation technology in denial scenarios, which requires small UAVs to have an autonomous localization function during flight and can navigate autonomously according to the observed environmental information to avoid collision with obstacles and complete the corresponding flight tasks according to the instructions. To this end, this paper designs an autonomous navigation system with both real-time and execution efficiency, which can be deployed and operated on an embedded platform with limited computational resources to meet the needs of small UAV autonomous navigation applications.

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Publication Details

Journal
IET conference proceedings.
Published
2025-01-01
DOI
https://doi.org/10.1049/icp.2024.3245
Primary Topic
Robotic Path Planning Algorithms
Type
article
Field-Weighted Citation Impact
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article

Efficient, real-time autonomous navigation system for small unmanned aircraft

Ao Xie, Yunfei Liu, Yi Ding, Jiaxing Che
IET conference proceedings.
Robotic Path Planning Algorithms
article

Efficient, real-time autonomous navigation system for small unmanned aircraft

Ao Xie, Yunfei Liu, Yi Ding, Jiaxing Che
article en

Abstract

With the continuous development of the UAV industry, the demand for small UAVs that can fly autonomously in unknown and complex scenarios is increasing. One of the core technologies is the autonomous obstacle avoidance navigation technology in denial scenarios, which requires small UAVs to have an autonomous localization function during flight and can navigate autonomously according to the observed environmental information to avoid collision with obstacles and complete the corresponding flight tasks according to the instructions. To this end, this paper designs an autonomous navigation system with both real-time and execution efficiency, which can be deployed and operated on an embedded platform with limited computational resources to meet the needs of small UAV autonomous navigation applications.

IET conference proceedings.Vol. 2024(13)
Shenyang Aerospace University (CN), Beihang University (CN)
Affordable and clean energy
Openalex Percentile: Top 100%
Robotic Path Planning Algorithms
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