采用基于处理的可视化交互式仿真平台进行安全无碰撞自动驾驶开发

Dongkyu Lee, Jeonghun Cho, Daejin Park
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引用次数: 3

摘要

在保证自组织算法安全性的前提下,实现交通最大吞吐量的自动驾驶过于复杂,无法涵盖城市中大型汽车的各种例外情况。为了快速开发安全的自组织驾驶算法,本文提出了一个仿真集成的交互式可视化平台。利用提出的平台,开发人员可以描述地理道路并分配配备特定自动驾驶算法的车辆。将车辆自组织运动的交叉耦合仿真结果与道路上的交通进行交互可视化,以显示嵌入式自动驾驶算法的弱点。我们在300个路口上展示了1000辆汽车的演示,并提供了一种加速自动驾驶汽车自组织控制发展的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Interactive simulation platform using processing-based visualization for safe collision-free autonomous driving development
Autonomous driving for maximum throughput of traffic is too complex to cover various cases of exceptions in relation to large-scale cars in city, while still guaranteeing safety of the self-organizing algorithm. In this paper, we present a simulation-integrated interactive visualization platform to enable the fast development of a safe self-organizing driving algorithm. Using the proposed platform, developers describe geographic roads and allocate active cars equipped with specific autonomous algorithms. The cross-coupled simulation result of the self-organized movement of cars is interactively visualized with traffic on roads to show the weakness of the embedded autonomous driving algorithm. We show a demonstration for 1000 cars on 300 junctions of roads and offer a way to accelerate the development of self-organizing control in autonomous cars.
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