Description: 本人平时收集的惯性导航算法的论文，对搞导航算法的人很有帮助。
1.易于实现的捷联式惯性导航系统仿真.pdf
2.测量运动物体姿态的三自由度定位算法的研究.pdf
3.基于MEMS 技术的微型惯性测量组合.pdf
4.基于四元数的空间全方位算法研究.pdf
5.捷联惯导积分算法设计（连载二）下篇：速度和位置算.pdf
6.数字磁罗经系统的设计.pdf
7.四阶龙格—库塔法在捷联惯导系统姿态解算中的应用.pdf-I normally collected papers inertial navigation algorithm, the navigation algorithm to engage people very helpful. 1. Easy to realize the strapdown inertial navigation system simulation. Pdf2. Measuring movement of three degrees of freedom objects posture positioning algorithm. Pdf3. Based on MEMS technology, micro-inertial measurement unit. Pdf4. Quaternion-based full-space algorithm study. pdf5. SINS Integral Algorithm Design (Part II) next: the speed and position calculation. pdf6. digital magnetic compass system design. pdf7. Fourth-Order Runge- Kutta method in SINS Attitude operator application. pdf Platform: |
Size: 1413120 |
Author:ddk_ok |
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Description: Barometric Altimeter and Inertial Measurement Unit presentation. Very easy learning. Platform: |
Size: 2037760 |
Author:Jean Mimar |
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Description: 微型惯性测量组合(MIMU：Micro-inertial measurement unit)是国际上近年来发展起来的新技
术，作为一种不依赖任何外部信息，也不向外部辐射能量的自主式系统-Abstract：The Micro strapdown inertial measurement unit
System are introduced, attitude algorithm and Kalman
filtering equation of parameter identifying of MIMU are
also described. Using four-order quaternion Runge-Kutta
method to update attitude algorithm is presented, the
corresponding simulation programs are described Platform: |
Size: 114688 |
Author:曲雪 |
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Description: ANALOG DEVICE +-300°陀螺仪说明文档，可应用在车辆底盘倾斜感知，惯性测量单元和平台的稳定。-ANALOG DEVICE+-300 ° gyro documentation, can be used in vehicle chassis tilt sensing, inertial measurement unit and platform stability. Platform: |
Size: 168960 |
Author:viet |
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Description: 在keil c开发环境下，采用C语言编写的对惯性测量单元ADIS16350的测试程序，希望能有所帮助-In keil c development environment, written using C language on the inertial measurement unit ADIS16350 testing procedures, hoping to help Platform: |
Size: 70656 |
Author:毛江飞 |
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Description: 在keil c开发环境下，采用C语言编写的对ADIS16355惯性测量单元的测试程序，希望能有所帮助-In keil c development environment, written using C language on the ADIS16355 inertial measurement unit testing procedures, hoping to help Platform: |
Size: 67584 |
Author:毛江飞 |
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Description: 在keil c开发环境下，采用C语言编写的对惯性测量单元（IMU+磁力计）ADIS16405的测试程序，希望能有所帮助-In keil c development environment, written using C language on the inertial measurement unit (IMU+ magnetometer) ADIS16405 testing procedures, hoping to help Platform: |
Size: 72704 |
Author:毛江飞 |
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Description:
The Aiding of a Low-Cost Strapdown Inertial
Measurement Unit Using Vehicle Model
Constraints for Land Vehicle Applications- Platform: |
Size: 353280 |
Author:zhangmeng |
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Description: 微惯性测量单元人体动作检测系统设计Micro inertial measurement unit of human motion detection system-Micro inertial measurement unit of human motion detection system Platform: |
Size: 478208 |
Author:cat |
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Description: The CHR-6d is a complete 6-axis Inertial Measurement Unit (IMU), with 3-axes of rotation rate measurement, and 3-axes of acceleration Measurement. The CHR-6d features a footprint of only .8" x .7" x .1", and a weight of only 1.5 Grams. -The CHR-6d is a complete 6-axis Inertial Measurement Unit (IMU), with 3-axes of rotation rate measurement, and 3-axes of acceleration Measurement. The CHR-6d features a footprint of only .8" x .7" x .1", and a weight of only 1.5 Grams. Platform: |
Size: 363520 |
Author:Helosman Figueiredo |
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Description: 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 Platform: |
Size: 1300480 |
Author:li李健超 |
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Description: The open source project DSP_INS is an inertial navigation system on the TI DSP
platform TMS320F28335 with MEMS inertial sensors and commercial GPS module. Inertial
sensors are actually used only for estimating attitude, heading and velocity.
Position information totally comes from GPS (see Q2 in FAQ part). Currently the
MEMS IMU (Inertial Measurement Unit) ADIS16355 and GPS module u-blox LEA-5H
are supported. DSP_INS also reads magnetic field data from HONEYWELL HMC1051/1052.
You can also use the latest IMU module ADIS16405, which also contains magnetic field
sensors.
There is a 10-order extended Kalman filter in DSP_INS, which takes angular velocity,
acceleration, magnetic field, and GPS velocity as inputs. It provides outputs
including angular velocity, acceleration, attitude, heading, velocity, and position
(from GPS) every 10 milliseconds. DSP_INS is proved to be effective and reliable in
several robot and UAV projects. Platform: |
Size: 1682432 |
Author:snthej |
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Description: 本项目旨在制作一个用于第一人称视角(FPV)遥控飞行的头部姿态追踪系统。系统利用惯性测量单元测量头部运动姿态，生成相应的舵机驱动信号，利用遥控发射器传输到遥控飞机，驱动摄像云台跟随头部运动，达到模拟第一人称飞行的目的。
系统采用ATmega328 MCU；利用 BMA180 三轴加速度传感器、ITG3200 三轴角速度传感器、HMC5883 三轴磁场传感器组成 9 自由度测量单元；通过 1602 LCD 直观显示控制菜单。系统软件基于 Arduino，采用方向余弦矩阵 (DCM) 进行姿态解算。
系统特性
支持三轴云台跟踪
直观的姿态显示和设置菜单
支持外部 PPM 合成和内部 PPM 合成
云台舵机通道可调
可调整舵机运转方向、中立点、运行速度和行程
作者
斑斑，Hazy-This project aims to produce a head pose tracking system for the remote control flight of the first-person view (FPV). The system uses inertial measurement unit to measure head movements posture, generates the corresponding servo drive signals, using the remote control transmitter transmitted to the remote control aircraft, drive the camera head to follow head movements to achieve the purpose of the simulation of first-person flight. Using ATmega328 MCU the BMA180 triaxial acceleration sensor, ITG3200 triaxial angular rate sensor, HMC5883 three-axis magnetic field sensor is composed of nine degrees of freedom measurement unit by 1602 the LCD and intuitive control menu is displayed. The system software is based on the Arduino, the direction cosine matrix (DCM) for the attitude solution. The system features intuitive gesture to support the three-axis head tracking display and setup menu to support the running direction of the external PPM synthesis, and the steering gear of the interna Platform: |
Size: 50176 |
Author:szinc |
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Description: Abstract—A new calibration procedure was proposed for
strap down inertial measurement unit (IMU) in a body
reference frame which was independent of the turntable. The
proposed methodology required no precise mechanical platform
for the calibration of the accelerometer and the rate-gyros.
Error models of IMU parameters were derived from the
physical characteristic of three accelerometers and three rate
gyros, which taked into account the sensor axis misalignments,
scale factor, gyro constant drifts, and biases inherent in the
manufacture of IMU. Least squares method was used to
evaluate the accelerometers and gyros model coefficients.
According to the experimental results, we can see that the
proposed algorithms is less affected by turntable’s accuracy,
process is simplified. Platform: |
Size: 236544 |
Author:Clovis |
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