I need to perform geometry matching of curves (see http://www.tiikoni.com/tis/view/?id=c54d9b8 ). As it can be seen, the big problem is that curves might be rotated, though they have similar shape.
Do I need to make curve fitting and look at the parameters of analytical models? But, I guess...
Meters per second. Well, yes, currently I just find and clean these jumps. However, it would be interesting to know more details about the things you have mentioned in your first post (advanced math methods). Could you please give more details?
Example of a hyperspace jump (measures are made at an interval of 1 second):
-580, 250
-600, 259
-1200,397 (here we have a jump of around 600 meters per second)
-1250,382
I suppose that my data is too complicated to be fitted with some analytical model, it contains multiple curves. Maybe it...
@mfb: Thank you. Could you please provide some links or guidelines related to better approaches? The problem is that the data contains some hyperspace jumps. Also, I appreciate a lot you can share some ideas of how to quantitatively evaluate "driving style".
There is a 2D array of x and y positions of a vehicle measured at an interval of one second, e.g.:
x y
1, 5
1, 6
1.5, 6.8
...
I need to somehow quantify how a given driver approaches curves (i.e. driving style - does he/she drives aggressively or not). For this, I divided the problem into two...