Generating routes for autonomous driving in vehicle-to-infrastructure communications

Digital Communications and Networks

Tinggui Chen¹  Ping Guo²  Jianjun Yang³  Juan Guo⁴  Yanping Zhang⁵  Bryson Payne⁶ 

[1] Corresponding author.;Department of Computer Science and Information Systems, University of North Georgia, Dahlonega, 30597, USA;Department of Computer Science and Information Systems, University of North Georgia, Oakwood, 30566, USA;Department of Computer Science, Gonzaga University, Spokane, WA, USA;Department of Computer Science, University of Illinois at Springfield, Springfield, IL, USA;Zhejiang Gongshang University, Hangzhou, China;

关键词: Autonomous driving;    Vehicles and infrastructures;    Bezier curve;    Recursive algorithm;    On board unit;    Road side unit;   

DOI  :  

来源: DOAJ

【 摘 要 】

The study of vehicular networks has attracted considerable interest in academia and the industry. In the broad area, connected vehicles and autonomous driving are technologies based on wireless data communication between vehicles or between vehicles and infrastructures. A Vehicle-to-Infrastructure (V2I) system consists of communications and computing over vehicles and related infrastructures. In such a system, wireless sensors are installed in some selected points along roads or driving areas. In autonomous driving, it is crucial for a vehicle to figure out the ideal routes by the communications between its equipped sensors and infrastructures then the vehicle is automatically moving along the routes. In this paper, we propose a Bezier curve based recursive algorithm, which effectively creates routes for vehicles through the communication between the On-Board Unit (OBU) and the Road-Side Units (RSUs). In addition, this approach generates a very low overhead. We conduct simulations to test the proposed algorithm in various situations. The experiment results demonstrate that our algorithm creates almost ideal routes.

【 授权许可】

Unknown