Compensation of wireless communication delay for integrated risk management of automated vehicle

Donghoon Shin, K. Yi
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引用次数: 5

Abstract

For the generic assessment and the total management of collision risks in urban driving situations, it is important to estimate and represent the target vehicles' behavior such as yaw rate, absolute velocity and acceleration which are state of the target vehicle. To achieve this, this paper presents a compensation of wireless communication delay for integrated risk management of automated vehicle. Recent developments in vehicle onboard computers and wireless communications devices, also known as dedicated short-range communication (DSRC) devices allow the exchange of information between vehicles (inter-vehicle communications). In an application of vehicle to vehicle (V2V) communication, the most important issue is to handle delay which has a negative impact on safety issue since communication networks generally introduce delays. To cope with this problem, the inter-vehicle communication system is firstly modelled by reflecting signal characteristic. To compensate the communication delay, state augmented estimation algorithm is used based on extended Kalman filters (EKF). The performance of the proposed estimation algorithm is verified via real time simulations.
面向自动驾驶汽车综合风险管理的无线通信延迟补偿
对目标车辆的横摆角速度、绝对速度和加速度等行为进行估计和表征,是城市驾驶环境下碰撞风险的综合评估和全面管理的重要内容。为此,本文提出了一种用于自动驾驶汽车综合风险管理的无线通信延迟补偿方法。车载计算机和无线通信设备(也称为专用短程通信(DSRC)设备)的最新发展允许在车辆之间交换信息(车辆间通信)。在车对车(V2V)通信应用中,最重要的问题是处理延迟,由于通信网络通常会引入延迟,这会对安全问题产生负面影响。为了解决这一问题,首先通过反射信号特性对车际通信系统进行建模。为了补偿通信延迟,采用了基于扩展卡尔曼滤波(EKF)的状态增广估计算法。通过实时仿真验证了所提估计算法的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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