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Signal Processing

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Calculates the distance assuming speed of sound is ~335ms-1. Errors due to specular reflection ... We gathered 100 samples from a sonar in three positions ... – PowerPoint PPT presentation

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Title: Signal Processing


1
Signal Processing
  • Jeremy Wyatt
  • Intelligent Robotics
  • School of Computer Science

2
Sonar
  • Sound wave transmitter/receiver
  • Sound wave bounces back off objects
  • Counter measures time of flight
  • Calculates the distance assuming speed of sound
    is 335ms-1
  • Errors due to specular reflection

3
Typical data
  • We gathered 100 samples from a sonar in three
    positions relative to a wall
  • You get a figure for time of flight (T) in units
    of 0.5 microseconds
  • To convert to metres

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6
Median and mean
  • Order the values by size
  • take the central value, here 1.425
  • mean is 1.458
  • median is more robust to outliers

1.41, 1.38, 1.71, 1.45, 1.42, 1.39, 1.43, 1.47
1.38, 1.39, 1.41, 1.42, 1.43, 1.45, 1.47, 1.71
7
Mapping
  • We took 25 sonar readings each at 100 equally
    spaced angles between 0 and 360 degrees

8
Plot range versus angle
Range in metres Angle in degrees
9
Convert to Cartesian frame
x
y
r
q
10
(x,y)
r
  • q

r
11
Finding Walls
  • Assume walls are straight lines
  • Each point is on many possible lines
  • Each line can be described by an equation

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Hough Transform
  • Create f and w for all possible lines
  • Create an array A indexed by f and w
  • for each point (x,y)
  • for each angle f
  • w xcos(f) ysin(f)
  • Af,w Af,w1
  • end
  • end
  • where A gt Threshold return a line

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Summary
  • Use median
  • Hough finds lines
  • But because of width of sonar beam gives bad
    results
  • May be better with Infra Red
  • Smooth in Hough Space
  • Use property of sonar

19
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