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Progress Report Development of a Driver Alert System for Road Safety
18

Progress Report Development of a Driver Alert System for Road Safety.

Jan 04, 2016

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Page 1: Progress Report Development of a Driver Alert System for Road Safety.

Progress Report

Development of a Driver Alert System for Road Safety

Page 2: Progress Report Development of a Driver Alert System for Road Safety.

Martin Gallagher

4th Year Electronic Engineer

Page 3: Progress Report Development of a Driver Alert System for Road Safety.

Today's Progress Report

1. Progress Completed to Date 1. Software

1.1 Hough Transform

1.2 Eye Detection Algorithms

2. Hardware

2.1 Pressure Sensors

2. Outline of plans of work to be completed.

2.1 Time Line

Page 4: Progress Report Development of a Driver Alert System for Road Safety.

Software1.1-Hough Transform

Previously I had been

using a Function by Kevin

Chawke, to detect both

eyes the transform had to

be ran twice, the code

relied on loop and this

caused the function to be

slow to implement for the

purposes needed

Page 5: Progress Report Development of a Driver Alert System for Road Safety.

Software

Using a transform available on the Mathworks website I have been able to detect circular areas of interest in pictures and test video

Raw Image with Circles Detected (center positions and radii marked)

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3-D View of the Accumulation Array

Page 6: Progress Report Development of a Driver Alert System for Road Safety.

Software

The function works by:

1. Taking in a greyscale image

2. Building an accumulation array by calculating the “gradient” and “magnitude of gradient” of the pixels

3.Combining the results of the pixel voting with the array.

The function also computes the local maxima and minima to find the centre of the circles and returns them as a Nx2 array called circen containing the X and Y co-ordinates respectively.

Returned also are the radii of the circles in a Nx1 array called cirrad

Page 7: Progress Report Development of a Driver Alert System for Road Safety.

Software

1.2 Eye Detection AlgorithmOnce Circen and Cirrad have been returned there will usually be a surplus of circles detected. Filtering out these surplus due to geometric characteristics of eyes should yield a stable performance 1. The Iris should be the same or similar size2. Eyes are a fixed distance apart3. Angle between eyes and X plane should not

be extremely great

Page 8: Progress Report Development of a Driver Alert System for Road Safety.

Eye Detection Algorithm

• Shown is a sample of circles of 3 radii and in different locations.

• Applying the characteristics described

Page 9: Progress Report Development of a Driver Alert System for Road Safety.

Pairing Circles of similar radius

• Pairing the circles of similar radii we see there are 7 pairs.

1,2 &3 are of radius 5

4 & 5 are of radius 7

and 6,7 & 8 are of radius 10

Page 10: Progress Report Development of a Driver Alert System for Road Safety.

Excluding those outside distance range

• As the eyes are of a fixed distance apart and should only vary if the subject turns their heads. Pairs whose distance apart lies outside the max distance allowed are removed from the search.

Page 11: Progress Report Development of a Driver Alert System for Road Safety.

Excluding those pairs at large angles

• If the driver is vigilant and conscious their eye level should be relatively flat and not of angles greater than 45°

Page 12: Progress Report Development of a Driver Alert System for Road Safety.

Problems with software

• This picture shows both eyes being detected and are highlighted in blue.

• Lighting plays a major

in the detection as shadow will cause error in the detection process

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Page 13: Progress Report Development of a Driver Alert System for Road Safety.

Solution

• Should only one eye be detected the transform will be applied to an area each side of the eye at lower threshold levels to compensate for shadow.

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Raw Image with Circles Detected (center positions and radii marked)

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Page 14: Progress Report Development of a Driver Alert System for Road Safety.

2.Hardware

• 2.1 Pressure Sensors

These will be used to monitor the drivers grip on the steering wheel.

They consist of 2 flexible

substrates, with printed electrodes and semiconductor material sandwiching in a spacer substrate.

Diagram from FSRguide

Page 15: Progress Report Development of a Driver Alert System for Road Safety.

Pressure Sensors

• The conductance is plotted vs. force (the inverse of resistance 1/r).This format allows interpretation on a linear scale. For reference, the corresponding resistance values are also included on the right vertical axis.

Diagram from FSRguide

Page 16: Progress Report Development of a Driver Alert System for Road Safety.

Work to be completed

• The Majority of the Matlab code

should be running and testing by the

24th Jan - Running live video

- The pick eyes function running

- Sensor code implemented

Page 17: Progress Report Development of a Driver Alert System for Road Safety.

Work to be completed

31 Jan - Combine all these data inputs into a testable programme.

21 Feb – Transfer some modules of the code onto a microprocessor.

Page 18: Progress Report Development of a Driver Alert System for Road Safety.

Questions?