A survey on concurrent network localization for autonomous multi-vehicle systems

Tingrui Han, Zhiyun Lin, Ronghao Zheng
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Abstract

Network localization plays the key role in position based operations and services of autonomous multi-vehicle systems such as unmanned aerial vehicles and satellite formation, which aims to determine the Euclidean coordinates of all the vehicles given a collection of inter-vehicle measurements and the Euclidean coordinates of a small number of vehicles. Concurrent network localization approaches allow each vehicle solve its own coordinate in a distributed manner via local information exchange with its neighbors and thus exhibit many desirable advantages in applications. This paper reviews recent development on concurrent network localization algorithms and aims to provide a comprehensive insight for these novel ideas. In terms of the types of inter-vehicle information, distance-based, bearing-based, and relative-position-based concurrent network localization are discussed in a unified framework.
自主多车系统并行网络定位研究
网络定位在无人机和卫星编队等自主多车系统的基于位置的操作和服务中起着关键作用,其目的是在给定车辆间测量值集合和少数车辆的欧几里德坐标的情况下确定所有车辆的欧几里德坐标。并行网络定位方法允许每辆车通过与相邻车辆的本地信息交换,以分布式的方式求解自己的坐标,从而在应用中显示出许多理想的优势。本文综述了并发网络定位算法的最新进展,旨在对这些新思想提供一个全面的见解。在车辆间信息类型方面,统一讨论了基于距离、基于方位和基于相对位置的并发网络定位。
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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