{"title":"Small and low-cost navigation device for pedestrian","authors":"X. Xing, Zh. Yating","doi":"10.23919/ICINS.2018.8405888","DOIUrl":null,"url":null,"abstract":"The small and low-cost pedestrian navigation device is the key technology of short-term autonomous navigation and positioning fields, which has a good development prospect. On the basis of considering pedestrian dynamic model, using MEMS inertial sensors, the structure of pedestrian navigation devices, pedestrian autonomous navigation algorithm and corresponding experimental are designed and researched. In the process of structure design, considering the convenience of pedestrian wear and the abundant information of signal acquisition, the device can be worn in different locations of the human body. The algorithm in this paper can extract the human movement characteristics under different wear mode adaptively, and calculate the pedestrian movement parameters. And then the short-term and high-precision pedestrian autonomous positioning can be realized. In addition, the device developed in this paper was used to perform pedestrian walking experiments. The results show that the developed prototype device wears flexibly, and can satisfy the need of short-term, autonomous and high accuracy localization for pedestrian. This article and its result are available and referable for the institutes researching autonomous positioning technology in indoors, jungle, underground, tunnels and other navigation non-cooperative environments.","PeriodicalId":243907,"journal":{"name":"2018 25th Saint Petersburg International Conference on Integrated Navigation Systems (ICINS)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 25th Saint Petersburg International Conference on Integrated Navigation Systems (ICINS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/ICINS.2018.8405888","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The small and low-cost pedestrian navigation device is the key technology of short-term autonomous navigation and positioning fields, which has a good development prospect. On the basis of considering pedestrian dynamic model, using MEMS inertial sensors, the structure of pedestrian navigation devices, pedestrian autonomous navigation algorithm and corresponding experimental are designed and researched. In the process of structure design, considering the convenience of pedestrian wear and the abundant information of signal acquisition, the device can be worn in different locations of the human body. The algorithm in this paper can extract the human movement characteristics under different wear mode adaptively, and calculate the pedestrian movement parameters. And then the short-term and high-precision pedestrian autonomous positioning can be realized. In addition, the device developed in this paper was used to perform pedestrian walking experiments. The results show that the developed prototype device wears flexibly, and can satisfy the need of short-term, autonomous and high accuracy localization for pedestrian. This article and its result are available and referable for the institutes researching autonomous positioning technology in indoors, jungle, underground, tunnels and other navigation non-cooperative environments.