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Development of Autonomous Car—Part II: A Case Study on the Implementation of an Autonomous Driving System Based on Distributed Architecture

机译:自动驾驶汽车的发展-第二部分:基于分布式架构的自动驾驶系统实现的案例研究

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摘要

Part I of this paper proposed a development process and a system platform for the development of autonomous cars based on a distributed system architecture. The proposed development methodology enabled the design and development of an autonomous car with benefits such as a reduction in computational complexity, fault-tolerant characteristics, and system modularity. In this paper (Part II), a case study of the proposed development methodology is addressed by showing the implementation process of an autonomous driving system. In order to describe the implementation process intuitively, core autonomous driving algorithms (localization, perception, planning, vehicle control, and system management) are briefly introduced and applied to the implementation of an autonomous driving system. We are able to examine the advantages of a distributed system architecture and the proposed development process by conducting a case study on the autonomous system implementation. The validity of the proposed methodology is proved through the autonomous car A1 that won the 2012 Autonomous Vehicle Competition in Korea with all missions completed.
机译:本文的第一部分提出了一种基于分布式系统架构的自动驾驶汽车开发流程和系统平台。所提出的开发方法使无人驾驶汽车的设计和开发具有诸如降低计算复杂性,容错特性和系统模块化等优点。在本文(第二部分)中,通过显示自动驾驶系统的实施过程来解决拟议的开发方法的案例研究。为了直观地描述实施过程,简要介绍了核心自动驾驶算法(定位,感知,计划,车辆控制和系统管理),并将其应用于自动驾驶系统的实施。通过对自治系统实现进行案例研究,我们能够检查分布式系统体系结构和建议的开发过程的优势。通过完成所有任务的2012年韩国自动驾驶汽车大赛获胜的自动驾驶汽车A1证明了所提出方法的有效性。

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