mlsanityData to 7 Oct 2026

Synthetic Aperture Sensing for Occlusion Removal with Drone Swarms

arXiv 2212.14692 ↗First posted 30 Dec 2022cs.RO cs.CVcited by 1

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Abstract (arXiv)

We demonstrate how efficient autonomous drone swarms can be in detecting and tracking occluded targets in densely forested areas, such as lost people during search and rescue missions. Exploration and optimization of local viewing conditions, such as occlusion density and target view obliqueness, provide much faster and much more reliable results than previous, blind sampling strategies that are based on pre-defined waypoints. An adapted real-time particle swarm optimization and a new objective function are presented that are able to deal with dynamic and highly random through-foliage conditions. Synthetic aperture sensing is our fundamental sampling principle, and drone swarms are employed to approximate the optical signals of extremely wide and adaptable airborne lenses.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 15 of its 117 references that are in the map. First posted on arXiv 30 Dec 2022.

Builds on

15 of 117 references.

References · 15

  1. 2021An Autonomous Drone for Search and Rescue in Forests using Airborne Optical Sectioningcited by 31
  2. 2018Survey on UAV Cellular Communications: Practical Aspects, Standardization Advancements, Regulation, and Security Challengescited by 20
  3. 2020Search and Rescue with Airborne Optical Sectioningcited by 20
  4. 2017Embodied Evolution in Collective Robotics: A Reviewcited by 15
  5. 2019A Statistical View on Synthetic Aperture Imaging for Occlusion Removalcited by 15
  6. 2020UAV Coverage Path Planning under Varying Power Constraints using Deep Reinforcement Learningcited by 15
  7. 2020Fast Automatic Visibility Optimization for Thermal Synthetic Aperture Visualizationcited by 14
  8. 2020Pose Error Reduction for Focus Enhancement in Thermal Synthetic Aperture Visualizationcited by 13
  9. 2021Combined Person Classification with Airborne Optical Sectioningcited by 13
  10. 2021Through-Foliage Tracking with Airborne Optical Sectioningcited by 13
  11. 2021Safety-enhanced UAV Path Planning with Spherical Vector-based Particle Swarm Optimizationcited by 9
  12. 2022Inverse Airborne Optical Sectioningcited by 9
3 more
  1. 2022Evaluation of Color Anomaly Detection in Multispectral Images For Synthetic Aperture Sensingcited by 9
  2. 2019Reconfigurable Multi-UAV Formation Using Angle-Encoded PSOcited by 2
  3. 2020Feasible Computationally Efficient Path Planning for UAV Collision Avoidancecited by 1

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Cited by year

Citing papers per year: 2023: 1.

1 paper.

  1. 2023Synthetic Aperture Anomaly Imagingcited by 0