Noise point drift removal method for GPS positioning track
A GPS positioning and noise point technology, applied in the GPS field, can solve the problem of singularity point drift of the positioning track, and achieve the effect of low computational complexity and good visualization effect
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Embodiment 1
[0042] Such as figure 1 As shown, a noise point drift removal method of GPS positioning track, including
[0043] S1: Remove noise drift singular points that do not conform to geometrical characteristics.
[0044] The method for removing noise that does not conform to geometrical features in process S1 is:
[0045] a1. Use computer algorithm to traverse all points. For any given point, calculate the distance d1 between this point and the previous point, calculate the distance d2 between this point and the next point, and calculate the distance between the previous point and the next point. distance d3;
[0046] a2. Determine whether the sum of d1 and d2 is greater than 1.5 times d3;
[0047] a3. If it is larger, it means that this point is a geometric drift point, and delete this point.
Embodiment 2
[0049] A noise point drift removal method of GPS positioning track, comprising
[0050] S2: remove the drift point whose acceleration is approximately equal to the acceleration of gravity;
[0051] The method for removing the drift point whose acceleration is approximately equal to the acceleration of gravity in process S2 is:
[0052] b1. Collect the acceleration value of the accelerometer at the same moment;
[0053] b2. Calculate the absolute value of the difference between the acceleration value and the acceleration of gravity
[0054] b3. If the absolute value of this difference is less than 0.2, then this point is considered as a static point, and this point is regarded as a drift point and deleted.
Embodiment 3
[0056] A noise point drift removal method of GPS positioning track, comprising
[0057] S3: Remove the drift points whose movement distance is greater than the estimated distance of the pedometer.
[0058] The method for removing drift points whose movement distance is greater than the estimated distance of the pedometer in process S3 is:
[0059] c1. Collect the number of steps counted by the pedometer between two adjacent points;
[0060] c2. If the number of steps counted is within the range of [2,10000], the process is regarded as a walking state;
[0061] c3. If it is in the walking state, calculate the number of steps * 1.0m as the maximum walking distance;
[0062] c4. If the distance between the adjacent positioning points is greater than the maximum walking distance, the point is regarded as a noise point and the noise point is deleted.
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