Autonomous Driving Task Offloading with Mobile Edge Computing

摘要

Autonomous driving has become the future direction of intelligent transportation system. To enable autonomous driving, mobile edge computing is proposed for the task uploaded from the cars. Using lane line detection as a typical scenario, we build a decision-making mathematical model, and design a working strategy for edge computing. The model will decide the information to be uploaded to the server or processed in the vehicle. We also carry out simulation comparison according to the existing communication conditions, so as to obtain a better decision-making strategy model to improve the accuracy and response speed of lane line detection.