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dd
- 文中给出了数据融合算法，并提出把数据融合方法应用于火电机组的在线性能计算中，使计算结果能更完善、准确地反映机组的运行状况。这种数据融合方法计算简便，可以反映传感器在空间或时间上的冗余或互补的信息，获得比有限个传感器的算术平均值更准确的测量结果，具有较高的可靠性，实际应用结果证实了该算法的准确性，可推广到其它具有正态分布特性测量结果的数据融合。-Paper gives the data fusion algorithms, and to make the data fusion method is
ITG3200xBMA180xSimpleKalaman
- ITG3200 giroscope and BMA180 accelerometer sensors fusion using the simple Kalaman filter
FreeIMU_6DOF
- ADS环境下开发的惯性导航工程，FREEIMU算法，实现姿态实时求解，lpc2368芯片，MPU6050传感器组，6轴自由度融合，上电可运行-ADS development environment inertial navigation project, FREEIMU algorithm to achieve real-time gesture solving, lpc2368 chip, MPU6050 sensors, 6-axis degree of freedom fusion pow
Headtracker
- Headtracker using sensors: ADXL345 (acc), ITG3200 (gyro), HMC5843 (mag) with data fusion using an extended kalman filter on STM32F10x and data output via USB to PC. Code (sensor reading, filter) written by me. Validated on real hardware.
pid-and-karman
- 参加飞思卡尔的同学肯定在知道采集传感器后的数据往往需要进行数据融合，卡尔曼滤波是一种数据融合算法，本学习资料主要是基于C语言的卡尔曼滤波和PID控制，仅提供参考-Freescale' s students participate certainly know after data acquisition sensors often require data fusion, Kalman filtering is a data fusion algorithm, this study is