MXcarkit

Start / Test Systems / MXcarkit – 1:8 model car / MXcarkit Specifications

The ideal platform for practical ADAS/AD development

Technical specifications of the MXcarkit

MXcarkit
The basic version of the MXcarkit is the ideal first step into the world of autonomous driving research. Alternatively, you can opt for a Jetson NX with more computing power. For an additional charge, there are several optional updates, such as a lidar, vehicle illumination and ultrasonic sensors.

Content:

Vehicle Platform

  • body: Mercedes-AMG GT3 or BMW 3.0 CSL
  • motor control: Flipsky Mini FSESC4.20
  • power supply: 140 W powerpack with 25.000 mAh
  • motor power supply: 4S LiPo battery – 14,8 Volt – 6200 mAh
  • ultra high speed and torque servo
  • USB hub: TP-Link UH720 – active 7-port USB 3.0 hub with two charging ports (2.4 A), ideal for stable sensor and device connectivity (optional)

Sensors

  • stereo-camera: Intel® RealSense™ Depth Camera D435i with integrated IMU (default)
  • IMU: MPU6050 6 DOF Gyro Accelerometer IMU (default)
  • RC Receiver: 8 channel (default)
  • lidar: Seeed RPLIDAR A2M12 (optional)

Control Unit

  • 1x STM32 Nucleo for reading out the sensors (IMU, RC, ultrasonic)
  • reComputer with NVDIA Jetson Nano module, aluminium case with cooling fan, WiFi, antennas and pre-installed software stack for MXcarkit (default)
  • Jetson SUB Mini PC-Blue with NVIDIA Jetson Xavier NX module, aluminium case with cooling fan,
    128 GB SSD, WiFi, antennas and pre-installed software stack for MXcarkit (alternative)

Body

  • professionally painted car body with cutouts for camera and lidar (default)
  • all-around ultrasonic vision: monitor the entire vehicle environment with 10 ultrasonic sensors with built-in temperature compensation and I2C communication (optional).

Software

  • pre-installed JetPack System
  • pre-installed Docker image with ready-to-run ROS environment (Alternative ROS2)
  • sensors and actuators implemented in ROS
  • sample applications: manual steering with RC remote control, object recognition, Lane Keeping Assist

Accessories

  • RC remote control
  • powerpack and LiPo charger
  • NVIDIA Jetson power supply
  • LiPo charging bag
Anita Schuhwerk
Product Management and Coordination
anita.schuhwerk@mdynamix.de