Least square-based vehicle position estimation algorithm

PENG Xin; LI Ren-fa; YANG Liu; LIU Liang-jiao

您当前的位置：

首页 >

文章列表页 >

Least square-based vehicle position estimation algorithm

更新时间：2024-10-14

- Least square-based vehicle position estimation algorithm
- Vol. 31, Issue 8, Pages: 9-15(2010)
- 作者机构：
  
  湖南大学计算机与通信学院
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP399-C6
- Published：2010
- 稿件说明：
移动端阅览
PENG Xin, LI Ren-fa, YANG Liu, et al. Least square-based vehicle position estimation algorithm[J]. 2010, 31(8): 9-15.
DOI：

PENG Xin, LI Ren-fa, YANG Liu, et al. Least square-based vehicle position estimation algorithm[J]. 2010, 31(8): 9-15. DOI：

摘要

提出了一种最小二乘车辆位置估计算法。该算法首先推导出在一较小时间段内车辆距离矩阵满足的凸约束条件;然后通过最小二乘优化得到局部车辆的相对位置;最后

融合局部相对坐标图得到全局车辆坐标。仿真分析表明

与其他车辆位置估计方法相比

该算法可有效提高估计精度

并保证了车辆位置服务的实时性要求。

Abstract

A vehicle position estimation algorithm base on least square optimization was prposed.Firstly

the algorithm deduced the convex constraint condition which the distance matrix had to conform within a short time interval.Then

the least square method was employed to estimate the vehicles’ relative position.Finally

the local maps were merged into the global map.Simulation results demonstrate that the algorithm can achieve preferable estimation accuracy

and meet the real time constraint in vehicular networks.

关键词

Keywords

references

Views

884

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Research on routing protocol of vehicular delay-tolerant networks

Interference suppression in GPS receiver using space-time subspace projection techniques

Related Author

Hai-tao JIANG

Hong ZHANG

Qian-mu LI

GUO Yi1

ZHANG Er-yang1

SHEN Rong-jun2

Related Institution

School of Computer Science and Engineering, Nanjing University of Science and Technology

School of Electronic Science and Engineering,NUDT

General Equipment Department of PLA

AI问答

⁰