Autonomous Car Simulating Based on Lego Ev3 and Android App

Abstract

Autonomous car simulating is both safer and more economical than directly using real car for self-driving related research work. In this paper, we propose a framework that fully utilize the Lego Ev3’s sensor and Android App to simulate an autonomous car. First, the App receives sensor data from Lego Ev3 and images from Android phone, then using specified strategies to guide computing these data. Finally, when the computation is completed, App makes decisions to order Lego Ev3 avoiding obstacles in front of it. The computing process contains image process, simultaneous mapping construction and multi data fusing, which is highly related to autonomous car technology, but safer and more economical. Experimental results show that the proposed framework can be used for autonomous car simulating, so we can do more autonomous car related research works on this framework in the future.