Overview

The optimized and robust carbon fiber frame makes the QDrone 2 highly maneuverable and capable of withstanding high-impact applications with little down time required for repairs between flights. The powerful on-board processor and multiple accelerated high-resolution cameras enable novel on-board video processing, as well as streaming for real-time monitoring.

 

Research Studio

The Autonomous Vehicles Research Studio comes with everything you need to jumpstart your research.

Vehicles

  • QDrone 2
  • QBot Platform (Optional)

Control Ground Station

  • High-performance computer:

Intel® Core i7

NVIDIA RTX Graphics card

32 GB DDR4 RAM

  • 3 monitors
  • USB flight controller joystick
  • High performance router

 

Studio Equipment

  • Natural Point Optitrack Flex 13
  • Battery chargers
  • Protective net
  • Protective floor tiles
  • Ground camera

Product Details

Dimensions 50 x 50 x 15 cm
Weight (with batteries)  ~1500 g
Max Payload  ~300 g
Power 4S 14.8V LiPo (3700mAh) with XT60 connector
Flight time 7-8 minutes for hover per battery charge
Onboard Computer NVIDIA Jetson Xavier NX SOM (powered by a 6-Core NVIDIA Carmel ARM v8.2 64-Bit processor)
384-core NVIDIA Volta GPU with 48 Tensor Cores
8 GB 128-bit LPDDR4x RAM
Expandable I/O PWM (2x)
UART (2x)
SPI (2x SS pins )
I²(2x)
ADC (1x)
Encoder input (2x)
CPU GPIO (6x)
Intel® RealSense™ ((D435) Depth sensing: (3 metre range)
RGB (1920X1080) @ 30 FPS)
Omnivision OV9281 Grayscale (1280×800 @ 120 FPS or 640×480 @ 180 FPS)
Sony IMX219 3x RGB CSI 160 deg FOV wide angle lenses Cameras providing side and back view
21 FPS to 120 FPS
On board sensors 2x 6-DOF IMU (gyroscope and accelerometer), 1x Optical Flow sensor, 1x ToF height sensor
Connectivity WiFi 802.11a/b/g/n/ac 867Mbps with dual antennas
1x Micro HDMI port for external monitor support
Supported Software and APIs
  • QUARC for Simulink
  • Quanser APIs
  • TensorFlow
  • TensorRT
  • Python™ 2.7 & 3
  • ROS 1 & 2
  • CUDA®
  • cuDNN
  • OpenCV
  • Deep Stream SDK
  • VisionWorks®
  • VPI™
  • GStreamer
  • Jeston Multimedia APIs
  • Docker Containers with GPU support
  • Simulink® with Simulink Code
  • Simulation and virtual training environments (Gazebo and
    Quanser Interactive Labs )
  • Multi-language development
  • supported with Quanser Stream
  • APIs for inter-process
  • Communication
  • Unreal Engine

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