BenJohn

@benjohn

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关注的仓库(20)

    Watch BenJohn / AndriodLocationDemo

    最近更新: 3年前

    Watch BenJohn / GNSS-matlab

    Matlab codes to generate GNSS PRNs, secondary codes, dataless signals and spectra. Includes real data captures and a theory summary. GPS (L1CA, L2C, L5), Gaileo (E1OS, E5), BeiDou-2 (B1I)

    最近更新: 3年前

    Watch BenJohn / NaveGo

    NaveGo: an open-source MATLAB/GNU Octave toolbox for processing integrated navigation systems and performing inertial sensors analysis.

    最近更新: 3年前

    Watch BenJohn / ignav

    integrated navigation for ins and gnss

    最近更新: 3年前

    Watch BenJohn / GuoPublicCode

    为郭家军公共代码库

    最近更新: 3年前

    Watch BenJohn / StrideLengthEstimation

    The lack of benchmarking datasets for pedestrian stride length estimation makes it hard to pinpoint differences of published methods. Existing datasets either lack the ground-truth of each stride or are limited to small spaces with single scene or motion pattern. To fully evaluate the performance of proposed ASLE algorithm, we conducted benchmark dataset for natural pedestrian dead reckoning using smartphone sensors and FM-INS module. we leveraged the FM-INS module to provide the ground-truth of each stride with motion distance errors in 0.3% of the entire travel distance. The datasets were obtained from a group of healthy adults with natural motion patterns (fast walking, normal walking, slow walking, running, jumping). The datasets contained more than 22 km, 10000 strides of gait measurements. The datasets cover both indoor and outdoor cases, including: stairs, escalators, elevators, office environments, shopping mall, streets and metro station. To make it easier for readers to replicate experiment, we shared the sampling software.

    最近更新: 3年前

    Watch BenJohn / PDR_coupled_GNSS

    PDR loose coupled with GNSS

    最近更新: 3年前

    Watch BenJohn / free-programming-books-zh_CN

    :books: 免费的计算机编程类中文书籍,欢迎投稿

    最近更新: 3年前

    Watch BenJohn / OpticalSLAM

    A basic stereo vision SLAM system

    最近更新: 3年前

    Watch BenJohn / Human-Activity-Recogntion

    Human activity recognition, or HAR, is a challenging time series classification task. It involves predicting the movement of a person based on sensor data and traditionally involves deep domain expertise and methods from signal processing to correctly engineer features from the raw data in order to fit a machine learning model.

    最近更新: 3年前

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