GPS数据中人工智能算法分析  

Artificial Intelligence Algorithm Analysis in GPS Data

作　　者：于磊 YU Lei(Guangdong Southern Telecommunications Planning and Design Institute Co.,Ltd.,Shenzhen Guangdong 518038,China)

机构地区：[1]广东南方电信规划咨询设计院有限公司,广东深圳518038

出　　处：《信息与电脑》2024年第20期33-35,共3页Information & Computer

基　　金：科技部科技创新2030“新一代人工智能”国家科技重大项目子课题“人机协同的学习社群建构与支持技术”(项目编号:2022ZD0115904)。

摘　　要：本文基于人工智能算法研究GPS坐标转换与定位技术,以提高定位精度。针对传统车载GPS导航系统坐标转换不精确的问题,本文提出了应用卷积神经网络(Convolutional Neural Networks,CNN)进行GPS坐标转换的算法。本文将Ada Boost算法引入导航系统,较好地解决了GPS失锁问题。结果表明,基于Ada Boost算法的导航方法能够提高导航精度,优化系统性能。This paper studies GPS coordinate conversion and positioning technology based on artificial intelligence algorithms to improve positioning accuracy.Aiming at the problem of inaccurate coordinate conversion of traditional car GPS navigation system,this paper proposes an algorithm for GPS coordinate conversion by applying convolutional neural networks(CNN).In this paper,AdaBoost algorithm is introduced into the navigation system,which better solves the problem of GPS loss of lock.The results show that the navigation method based on AdaBoost algorithm can improve the navigation accuracy and optimize the system performance.

关 键 词：卷积神经网络 ADABOOST算法 GPS导航 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]