Image based Object Detection System for Self-driving Cars Application

Abstract
  • Utilize Yolo algorithm to construct special neural network model(utilize Resnet to extract basic image information and then with new designed network frame) update a new loss function, train the network on GPU and tune parameters to converge and optimize the result.
  • Optimize feedforward inference network and realize object detection and tracking in real time on Raspberry with its Pi camera.