Preethi Koganti, Kalyana Srinivas K, Anudeep P, Sravanth Kumar R, P. Kishore, S. R. Prasad
{"title":"Satellite based Road Tagger GPS Radio-Navigation system with Integration of Artificial Intelligence","authors":"Preethi Koganti, Kalyana Srinivas K, Anudeep P, Sravanth Kumar R, P. Kishore, S. R. Prasad","doi":"10.1109/RDCAPE52977.2021.9633626","DOIUrl":null,"url":null,"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.","PeriodicalId":424987,"journal":{"name":"2021 4th International Conference on Recent Developments in Control, Automation & Power Engineering (RDCAPE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 4th International Conference on Recent Developments in Control, Automation & Power Engineering (RDCAPE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RDCAPE52977.2021.9633626","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.