NavQ95: AI-Powered Autonomy Compute and Flight Controller

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MR-NAVQ95 Block Diagram

MR-NAVQ95 Block Diagram

Features

Benefits

  • Reduce SWaP (Size, Weight and Power) and complexity system by combining flight controller, companion computing and AI on one platform
  • Enable intelligent autonomy with onboard AI perception and decision-making
  • Accelerate development with open-source hardware and software
  • Scale AI performance through PCIe-based acceleration interface (Ara-Ready) without redesigning the core platform
  • Enable connected operations through high-speed networking connectivity

System Features

  • Open Source Design: Open Source OS image available based on Yocto with Ubuntu 24.04 and ROS 2 Jazzy
  • Flight stacks: PX4 & Cognipilot
  • i.MX 95, Hexa core ARM A55, M7 & M33 real time core
  • Neutron NPU, 32 Mb eMMC, 16 Gb RAM for complex SLAM / navigation algorithm
  • Special execute in-place (XIP) memory for real time flight control
  • Up to 60V power input
  • Swappable I/O boards. 2x IMU, Magnetometer, Barometer, 2x PCIe
  • Support for 6 PWM out ports running Dshot 600
  • Example code to do Vision AI via Neutron or Ara240 from a defined mipi-CSI fixed focus camera with 1080p and 30fps and 20ms latency

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