A scaled down version of self-driving system using Neural Networks and OpenCV. The system comprises of:

  • Raspberry Pi with a camera and an ultrasonic sensor as inputs,
  • Server that handles:
    • Steering using NN predictions
    • Stop sign and traffic light detection using Haar feature based Cascade Classifiers
    • Distance measurement through monocular vision
    • Front collision avoidance using an ultrasonic sensor
  • an Arduino board for RC car control