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cmake simple example
dapp exercise
The DCM-IMU algorithm is designed for fusing low-cost triaxial MEMS gyroscope and accelerometer measurements. An extended Kalman filter is used to estimate attitude in direction cosine matrix (DCM) formation and gyroscope biases online. A variable measurement covariance method is implemented for acceleration measurements to ensure robustness against temporarily non-gravitational accelerations which usually induce errors to attitude estimate in ordinary IMU-algorithms. The code and data will be added after related scientific work is published and open source publication is approved.
dot file collection under home directory
An Emacs configuration bundle with batteries included
blog website
Record some usage examples in ROS2
personal sublime config
tensorflow object detection 训练步骤
收集的一些有用的可以复用的代码
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