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Design And Development Of Road Surface To Camera Image Plane Estimation System For Object Measurement.

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ABSTRACT

Under the International Road Assessment Programme (iRAP, sponsorship of

UK charity organization FIA Foundation for the Automobile and Society), led by

AAM, JKR, JKJR, and Malaysia Institute of Road Safety Research (MIROS), a

series of road safety assessment activity over 3600 km of road in Malaysia has been

carried out. The system (road images acquisition and Graphical User Interface (GUI)

for road safeness rating) being used to carry out the road safety assessment was

found not adequate by MIROS (poor imaging quality and high cost). Using

off-the-shelf modules (Industrial grade Internet Protocol enabled Cameras, Microsoft Visual

Studio, and open source computer vision software), a Malaysia made cost effective,

reliable and robust road survey data collection and analysis system shall be jointly

designed and developed to measure the road surface physical length and hence

improve the road safety in Malaysia. The main aim of this project is to provide a GUI

enabled road surface physical length measurement system to MIROS. The developed

GUI consists of the function to capture the camera image and take the physical

length between two points on the road surface. The relationship of the road surface

and the camera image plane can be determined by using the correspondences on both

the planes through the designed calibration process. Planar homography estimation

method, using least squares as the standard approach to approximate the solution of

an over determined system, is used to linearly minimize the error produced during

the calibration process. The GUI facility provided by Microsoft Visual Studio and

the linear algebra enabled homography estimation method in the OpenCV are used to

develop the system. This system can estimate the physical length between two points

on the road plane in the range of 1 0 meters until 22 meters from the camera with the

relative error of up to 2%. The physical length measurement between two points can

be increased by using more correspondences during planar homography estimation

process.

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