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Research And Implementation Of Embedded Intelligent Vehicle Terminal

Posted on:2020-02-26Degree:MasterType:Thesis
Country:ChinaCandidate:Z Y ZhangFull Text:PDF
GTID:2392330578954670Subject:Control engineering
Abstract/Summary:PDF Full Text Request
With the continuous development of the human economy,people's demand for better life is also increasing.Satellite navigation,artificial intelligence,5G and the Internet of Things are deeply rooted in people's lives.People are not only satisfied with navigation and location functions,but also need more deeply services,such as location-based recommendation services and net car.The traditional car navigation system has a long start up time,the map is difficult to update,and the interactive interface is obsolete.The rise of mobile navigation has led to the phasing out of the traditional car navigation system.Therefore,it is particularly urgent to develop a new type of car navigation system.Aiming at the defects of car navigation system,this paper designs a car navigation device with short starting time,convenient map updating and friendly interface,which enhances the driver's driving experience.In view of the inherent defects of satellite positioning,satellite signals are susceptible to external influences,resulting in loss of positioning information and navigation.Based on the above reasons,this study designed a satellite-station navigation system to fully utilize the characteristics of the two positioning methods to solve the satellite problems such as continuous navigation with signal loss and satellite positioning cold start.For traditional car navigation detector defects,such as map update issues,interactive interface issues.This study combines popular small program development to transform a traditional interactive interface into applet.Aiming at the problems existing in current network cars,a location clustering model used by users is designed to effectively solve the problem of resource waste caused by the unreasonable distribution of net car.The experimental results show that the new car navigation system can effectively solve problems such as star loss,cold start and map update,and optimize the driver experience.The main work of this paper is as follows:(1)Studying the principle of satellite positioning,analyze the market of car navigation systems at home and abroad,and propose a new interactive mode car navigation system.(2)Analyzing the inherent defects of satellite positioning.A satellite-station navigation system based on Federated Kalman filter algorithm is designed to solve the problem of satellite positioning signal loss and cold start.(3)Analyzing the hardware equipment of the car navigation system on the market.Considering the power consumption issues,this paper choose low-power devices to build car navigation devices and Linux systems.To solve the problems of traditional navigator interaction and map update,a human-computer interaction interface and network map system based on WeChat applet are designed.(4)Writing each module driver to realize the collection and transmission of positioning information and the collection and use of gyroscope information.The location information is combined with the K-means algorithm to cluster the user's location.The Calinski-Harabasz algorithm is used to improve the accuracy of the clustering algorithm.
Keywords/Search Tags:car navigation, federal filtering, machine learning, applet
PDF Full Text Request
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