OpenCV is one library that already has the kalman matrix maths built in. To set up a kalman filter with OpenCV we just need to setup the matrices we need and call the appropriate cvKalman functions. To set up a kalman filter with OpenCV we just need to setup the matrices we need and call the appropriate cvKalman functions.

Hi everyone, this is my first time on a forum so if I do something wrong please forgive me. I'm trying to build my own Kalman Filter, not because I don't like OpenCV's but because I think that when you want to really understand how something works you should get your hands dirty on it. Extended Kalman Filter Implementation with C++. Used Python and OpenCV to detect lanes from video. Extended Kalman Filter Implementation with C++. 这是opencv里一个轨迹后处理的Kalman滤波，请问如何使用这个类，刚接触，请指点一下 2014-12-03 19:17:46 点赞 查看全部楼层 引用 举报 楼主 收起

Jan 30, 2014 · Kalman filters produce the optimal estimate for a linear system. As such, a sensor or system must have (or be close to) a linear response in order to apply a Kalman filter. Techniques for working with non-linear systems will be discussed in later sections.

OpenCV only provides Linear Kalman Filter afaik. For nonlinear estimation you need to use Extended or Unscented (this one is often used in Drone). I wrote estimation library in Go [1] last year which implements a lot of Kalman Filter alternatives and optimisations + smoothing

OpenCV is one library that already has the kalman matrix maths built in. To set up a kalman filter with OpenCV we just need to setup the matrices we need and call the appropriate cvKalman functions. To set up a kalman filter with OpenCV we just need to setup the matrices we need and call the appropriate cvKalman functions.