搜索资源列表
ADXL335
- Analog 惯性器件手册,手机中普遍使用的加速度传感器-MEMS Manual
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- 惯性导航技术的新进展及发展趋势,惯性导航系统 惯性测量单元 惯性传感器-Inertial navigation technology, progress and development trend of the new inertial navigation system inertial measurement unit inertial sensors
iNEMO-UART-Output
- 意法半导体的惯性传感器套件iNEMO通过串口数据数据的固件,通过J-LINK下载至开发板-iNEMO Toolkit firmwire by ST Ltd. (Data output from UART)
Science-and-Technology
- 仪器科学与技术概论MEMS惯性传感器等四位教授专题讲座报告-Instrument Science and Technology Introduction to MEMS inertial sensors report of four professors lectures
MPU6050
- MPU6050惯性传感器类库封装,含应用实例。-MPU6050 inertial sensor library package, including application examples.
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- 基于惯性传感器和视觉里程计的机器人定位,论文创新性强。-Robot positioning inertial sensors and visual odometry based on
COMSYS-FootPath-d3cfd0d_2.17_release
- 基于wifi和惯性传感器的室内定位android app 能直接运行,拥有完整的显示界面-An Android APP can be used in indoor location, based on wifi and acc senser
ADIS16448
- ADIS16448技术文档,十自由度惯性传感器-ADIS16448 technical documentation, ten degrees of freedom inertial sensor
INITIAL-SENSORS--TLD
- 运用惯性传感器检测人体肢体动作理论分析,包括LKF,EKF,quternion多种算法-INERTIAL AND MAGNETIC ANGLE TRACKING OF LIMB SEGMENTS FOR INSERTING HUMANS INTO SYNTHETIC ENVIRONMENTS
trace-generator
- 惯导轨迹发生器,生成各种常规运动下的惯性传感器数据-inertial navigation trace generator
read6
- 使用labview读取MTi惯性传感器数据,三轴角速度和三轴角度信息-Use labview read MTi inertial sensor data, triaxial triaxial angular velocity and angle information
CSharp-show
- C#编写的用于实现惯性传感器三维姿态的小软件,易于使用,方便快捷。-C# prepared for the realization of the three-dimensional attitude of the inertial sensors of small software, easy to use, convenient and quick.
AHRS-DATA
- 基于惯性传感器的姿态解算,输出四元数和欧拉角,常用于惯性导航。-Based on the attitude of the inertial sensor, the output of four elements and Euler angles, commonly used in inertial navigation.
20603USBHMDProcol
- 1.ICM20602惯性传感器算法库 2.usb 64字节上报速率 3.HMD上报协议-1.ICM20602 inertial sensor algorithm library 2.usb 64 byte reporting rate 3.HMD reporting protocol
GNSS与惯性及多传感器组合导航原理(第二版)
- GNSS与惯性及多传感器组合导航原理(第二版)(GNSS and inertial and multi-sensor integrated navigation principles (Second Edition))
微惯性测量单元的误差整机标定和补偿
- 提出了微惯性测量单元( MIMU) 在高动态、高过载复杂应用条件下的误差整机标定和补偿方法。首先, 建立了高动态, 高过载复杂应用条件下MIMU 的误差模型, 该模型包括了结构误差, 传感器安装误差和MEMS 惯性传感器在复杂条件对精度影响较大的误差项, 指零位温度漂移、互耦误差、刻度因子非线性和微陀螺加速度效应误差; 根据模型提出了整机标定补偿方法, 该方法可以标定MIMU 的63 个误差系数, 并且不需要对单个传感器进行标定。然后,
inertial navigation
- 利用STM32F103作为主控,陀螺仪作为惯性传感器,可导航小车在无GPS情况下走直线,误差照成由于没增加磁陀螺的原因无法校准航向角的累积误差,所以长时间运行会带来累积误差,如果有不需要磁陀螺就可以校准的方法欢迎大家给我留言提建议。(By using STM32F103 as main control, gyroscope as inertial sensors, navigation in the car without GPS. S
IMU_locating
- 对惯性传感器的数据进行处理,结合行人航迹推算方法得到路径(Inertial sensor data processing, combined with the pedestrian trajectory estimation method to get the path)
行人室内外无缝定位算法研究
- 基于GPS和自包含传感器的行人室内外无缝定位算法研究(Research on Seamless Positioning Algorithm for Pedestrians Based on GPS and Self - contained Sensor)
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- 简易的微惯性传感器的定位定姿算法的实现,个人认为适合SINS学习领域中的初学者,仿真误差较大,由此可以引出更深层次的解决方法。(Implementation of a simple positioning algorithm for micro inertial sensors.)