O'Reilly book clarification on 2d linear system

Posted by Eric on Stack Overflow See other posts from Stack Overflow or by Eric
Published on 2010-04-29T09:07:58Z Indexed on 2010/04/29 9:17 UTC
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matrix

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linear

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kalman

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opencv

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 variables would be the elements of the state vector xk. Th is suggests that the correct form for F is:

x = [ x; 
      y;
      vx;
      vy; ]k

F = [ 1, 0, dt, 0;  
      0, 1, 0,  dt;
      0, 0, 1,  0;
      0, 0, 0,  1; ]

It seems natural to put 'dt' just there in the F matrix but I just don't get why. What if I have a n states system, how would I spray some "dt" in the F matrix?

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