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CHEN Ke, WU Shaocong, WU Hai, et al. Architecture and key technologies of a low-altitude active perception network based on the digital retina[J]. Journal of Radars, in press. doi: 10.12000/JR26022
Citation: CHEN Ke, WU Shaocong, WU Hai, et al. Architecture and key technologies of a low-altitude active perception network based on the digital retina[J]. Journal of Radars, in press. doi: 10.12000/JR26022
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Architecture and Key Technologies of a Low-altitude Active Perception Network Based on the Digital Retina

DOI: 10.12000/JR26022 CSTR: 32380.14.JR26022
  • 1.

    Institute of Perceptual Intelligence, Pengcheng Laboratory, Shenzhen 518000, China

  • 2.

    School of Electronics, Peking University, Beijing 100871, China

  • 3.

    School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen), Shenzhen 518055, China

Funds:  The project of Pengcheng Laboratory (PCL2025A14, PCL2025A02)
More Information
  • Corresponding author: WANG Yaowei, wangyaowei@hit.edu.cn
  • Received Date: 2026-01-16
  • Rev Recd Date: 2026-04-18
    • Available Online: 2026-04-22
    Abstract
  • Low-altitude perception technology aims to transform the physical space of low-altitude targets and environments into a computable digital space, providing a foundation for the safe and organized development of low-altitude economic activities. This paper systematically examines the current progress and challenges of technologies such as large-scale visual perception, object detection, and environmental sensing in low-altitude scenarios. To address these challenges, we introduce a low-altitude active perception network based on the digital retina featuring a collaborative architecture that integrates end, edge, and cloud computing. The key mechanisms and methods are outlined across various aspects, including the overall network structure, cloud-based foundation models, and end-based object and environmental perception technologies. Early applications and experimental results confirm the effectiveness of the proposed network in enabling efficient joint perception under bandwidth limitations.

     

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