Satellite based Road Tagger GPS Radio-Navigation system with Integration of Artificial Intelligence

Preethi Koganti, Kalyana Srinivas K, Anudeep P, Sravanth Kumar R, P. Kishore, S. R. Prasad
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引用次数: 1

Abstract

The Global Positioning System (GPS) is a satellite-based radionavigation system that uses stored map information to send location and time data to a GPS receiver. One of the disadvantages of GPS is that it lacks memory, meaning it does not recall or learn from past understandings. A simple way for altering a GPS navigational system to include a learning model based on speeds. It is assumed to be totally self-contained, that means no user input or involvement is required. All the necessary data is obtained from the GPS time, position, and date. Another way can be adding the labels or tags. These velocity profiles are used to extract characteristics from the surroundings in addition to learning, which may then be utilized to increase the accuracy of optimal route selection. The RoadTagger is a program that employs Neural Network to estimate the nature of obstacles on road.
基于卫星的道路标记机GPS无线电导航系统与人工智能集成
全球定位系统(GPS)是一种基于卫星的无线电导航系统,它使用存储的地图信息向GPS接收器发送位置和时间数据。GPS的缺点之一是它缺乏记忆,这意味着它不能回忆或从过去的理解中学习。一个简单的方法来改变GPS导航系统,包括一个基于速度的学习模型。它被认为是完全独立的,这意味着不需要用户输入或参与。所有必要的数据都是从GPS的时间、位置和日期中获得的。另一种方法是添加标签或标记。除了学习之外,这些速度曲线还用于从周围环境中提取特征,然后可以利用这些特征来提高最优路线选择的准确性。RoadTagger是一个利用神经网络来估计道路上障碍物的性质的程序。
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