Cameras can be used to identify the road lane markings to guide vehicles to drive within the lane markings. In this assignment students are asked to develop a method that can identify the mid-line...


Cameras can be used to identify the road lane markings to guide vehicles to drive
within the lane markings. In this assignment students are asked to develop a method
that can identify the mid-line between the lane markings, indicated as “Driving path”,


The developed method should be implemented using MATLAB Image Processing
Toolbox. In particular, the developed method should automatically draw a line that
indicates the trace of mid-points between the lane markings, indicated by “Driving
path”, in each image. Students can approach this using following steps:
• Convert images to black and white with thresholding
• Make each line solid by ‘dilating’ scatter lines
• Reduce the thickness of each solid line by ‘thinning’ process
• Using Hough Transform to work out the two most prominent lines
• Calculate and plot the mid-points between these two lines in the image
Clearly, above steps are NOT the only ways that this assignment can be solved.
Students are encouraged to come up with their own approaches.
Driving
path
Driving
path
Students will be provided with four image files of Figures 1 (a) to 1(d) – can be
downloaded from vUWS. The developed method should work for all images without
changing any parameters in the program.
Assessment and time schedule:
This project forms a part of the assessment of the unit. Students are required to work
in group of 2 students (or individually). The attendance at the tutorial sessions for
this project will be recorded. Students will be assessed based on their performances
in the tutorial sessions (40%), and the final written assignment (60%). In particular
the tutorial session performance will be assessed based on the time schedule outlined
below (Zero mark will be given if students fail to attend the said tutorial sessions,
unless prior written permission has been granted by the lecturer):

Nov 26, 2019
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