mlsanityData to 7 Oct 2026

GAP9Shield: A 150GOPS AI-capable Ultra-low Power Module for Vision and Ranging Applications on Nano-drones

arXiv 2407.13706 ↗First posted 27 Jun 2024cs.RO cs.CV eess.SPcited by 8

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Abstract (arXiv)

The evolution of AI and digital signal processing technologies, combined with affordable energy-efficient processors, has propelled the development of both hardware and software for drone applications. Nano-drones, which fit into the palm of the hand, are suitable for indoor environments and safe for human interaction; however, they often fail to deliver the required performance for complex tasks due to the lack of hardware providing sufficient sensing and computing performance. Addressing this gap, we present the GAP9Shield, a nano-drone-compatible module powered by the GAP9, a 150GOPS-capable SoC. The system also includes a 5MP OV5647 camera for high-definition imaging, a WiFi-BLE NINA module, and a 5D VL53L1-based ranging subsystem, which enhances obstacle avoidance capabilities. In comparison with similarly targeted state-of-the-art systems, GAP9Shield provides a 20% higher sample rate (RGB images) while offering a 20% weight reduction. In this paper, we also highlight the energy efficiency and processing power capabilities of GAP9 for object detection (YOLO), localization, and mapping, which can run within a power envelope of below 100 mW and at low latency (as 17 ms for object detection), highlighting the transformative potential of GAP9 for the new generation of nano-drone applications.

Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). Builds on 5 of its 7 references that are in the map. First posted on arXiv 27 Jun 2024.

Builds on

5 of 7 references.

References · 5

  1. 2021Fully Onboard AI-powered Human-Drone Pose Estimation on Ultra-low Power Autonomous Flying Nano-UAVscited by 24
  2. 2023Ultra-Efficient On-Device Object Detection on AI-Integrated Smart Glasses with TinyissimoYOLOcited by 15
  3. 2023Bio-inspired Autonomous Exploration Policies with CNN-based Object Detection on Nano-dronescited by 11
  4. 2023NanoSLAM: Enabling Fully Onboard SLAM for Tiny Robotscited by 5
  5. 2023Fully Onboard Low-Power Localization with Semantic Sensor Fusion on a Nano-UAV using Floor Planscited by 3

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 4; 2026: 4.

8 papers.