kalman

Integrating gyro and accelerometer readings

I have read a number of papers on Kalman filters, but there seem to be few good publically accessible worked examples of getting from mathematical paper to actual working code. I have a system containing a three-axis accelerometer and a single gyro measuring rotation around one of the accelerometer axes. The system is designed to be hel...

O'Reilly book clarification on 2d linear system

The Oreilly book "Learning openCV" states at page 356 : Quote Before we get totally lost, let’s consider a particular realistic situation of taking measurements on a car driving in a parking lot. We might imagine that the state of the car could be summarized by two position variables, x and y, and two velocities, vx and vy. These four...

Kalman filter for car's tracking path

Hi, I am having a set of Points like Point(x,y). After the car gone through so many ways in the same road it is almost messing the resulting map. I heard that kalman filter can make a sigle path from the available paths. Can any body say, how to make it. I am not from computer science. So please explain me about that concept and those ma...

Opencv Kalman filter

Hi, I have three gyroscope values, pitch, roll and yaw. I would like to add Kalman filter to get more accurate values. I found the opencv library, which implements a Kalman filter, but I can't understand it how is it really work. Could you give me any help which can help me? I didn't find any related topics on the internet. I tried to ...

Sensor fusioning with Kalman filter

I'm interested, how is the dual input in a sensor fusioning setup in a Kalman filter modeled? Say for instance that you have an accelerometer and a gyro and want to present the "horizon level", like in an airplane, a good demo of something like this here. How do you actually harvest the two sensors positive properties and minimize the ...