mlsanityData to 14 Oct 2026

Autonomous Vision-based UAV Landing with Collision Avoidance using Deep Learning

arXiv 2109.08628 ↗First posted 17 Sep 2021cs.LG cs.CV cs.ROcited by 3

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Abstract (arXiv)

There is a risk of collision when multiple UAVs land simultaneously without communication on the same platform. This work accomplishes vision-based autonomous landing and uses a deep-learning-based method to realize collision avoidance during the landing process.

Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 2 of its 11 references that are in the map. First posted on arXiv 17 Sep 2021.

Builds on

2 of 11 references.

References · 2

  1. 2020YOLOv4: Optimal Speed and Accuracy of Object Detectioncited by 1,630
  2. 2020ASAP-NMS: Accelerating Non-Maximum Suppression Using Spatially Aware Priorscited by 3

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 1; 2025: 1; 2026: 1.

3 papers.

  1. 2025HIPPo: Harnessing Image-to-3D Priors for Model-free Zero-shot 6D Pose Estimationcited by 4
  2. 2024L-PR: Exploiting LiDAR Fiducial Marker for Unordered Low Overlap Multiview Point Cloud Registrationcited by 2
  3. 2026SI-Diff: A Framework for Learning Search and High-Precision Insertion with a Force-Domain Diffusion Policycited by 0