Abstract
The integration of uncrewed aerial vehicles (UAVs) with vertical takeoff and landing capability into commercial and military applications marks a significant advancement in aerial technology, necessitating robust systems for safe operation. Performing autonomous safe landing in emergencies remains a critical concern among other challenges. Emergencies in UAVs can arise from various factors, such as system failures, adverse weather conditions, or mission-critical situations requiring immediate landing. Addressing this challenge, this article presents an autonomous safe landing system designed to provide operation time assurance for UAVs flying over unknown terrains. To achieve this, we partition the point cloud data generated by the LIDAR sensor into grids for safe landing site identification and selection. Our approach requires a low computational load and is validated through tests on various terrain types under real-world conditions while utilizing only the onboard sensing and computational capability of the UAV.
| Original language | English |
|---|---|
| Pages (from-to) | 10694-10708 |
| Number of pages | 15 |
| Journal | IEEE Transactions on Aerospace and Electronic Systems |
| Volume | 61 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 2025 |
| Externally published | Yes |
Bibliographical note
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