Design And Implementation Of Driverless Car For Competition Based On ARM

This paper takes a design of driverless car which is based on Exynos 4412 processor with ARM Cortex-A9 architecture and embedded Linux system. The driverless car use the miniature car model as underpan.The robot competition which relies on the camera to collect the image is often more strict in the light of the competition area. Most of the participating robots need to modify the corresponding parameters according to the light condition of the field to complete the competition. The focus of this research is how to overcome the influence of illumination condition on the track recognition of the unmanned vehicle. The picture which is taken by camera should be smoothed and enhanced and then I can get the information of track by the lane recognition algorithm. The posture of driverless car in the track can be gotten and then the processor would make the behavioral decision and send the command to the motor drive and the servo steering gear.First, this paper introduced the Development present situation and development prospect of driverless car. The research significance and research content of this topic was described. The specific design was showed in the following two chapters. The mechanical structure, the electrical connection and the processor were talked as the hardware aspect. In the aspect of software, the realization of all function was described at last.After that, the related picture processing algorithm was introduced and I talked about the application in the topic of these algorithms. The treatment effects of different algorithms were compared. The fifth chapter showed the track lane recognition algorithm. Finally, the paper showed the analysis of the test results and the conclusions and prospects of this project.