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.
Authors
- Ao Xie (ORCID: https://orcid.org/0000-0001-7735-5342)
- Yunfei Liu (ORCID: https://orcid.org/0000-0001-6644-813X)
- Yi Ding (ORCID: https://orcid.org/0000-0001-5741-1765)
- Jiaxing Che (ORCID: https://orcid.org/0000-0003-4970-5645)
Institutions
- Shenyang Aerospace University (CN)
- Beihang University (CN)
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
- 0.00