Dynamic Threshold Value For The Traffic Lane Extraction

2302 words - 10 pages

Executive Summary

This project is to find out the dynamic threshold value for the traffic lane extraction
.
At the early stage, we found that the threshold value of the image was the main item we had to solve. This is because the threshold value of the image can provide us the better image on the traffic lane extraction.

Dynamic threshold value determination is to produce a continuous threshold value to the traffic lane extraction.

By using the LabVIEW Program, we can easily extract the light intensity and HSI data of the image and get the threshold value by comparing the data with the threshold value database.

Table of Contents

No. Description Page

A. Introduction…………………………………………………………. 3

B. Literature Search………………………………………………………………….. 3

C. Design Concept……………………………………………………………. 4

D. Block Diagram………………………………………………………. 4

E. Experimental Record ………………………………………………………………… 5

F. Project Timeline…………………………………………………………………… 6

G. Result and Conclusion……………………………………………………………

H. References……………………………………………………………………. 7

A. INTRODUCTION

Since the 21st Century, Autonomous vehicles are the hit topics in the world which is very important on the Intelligent Transport System. The basic provision of the intelligent vehicles should provide the information of route direction, sense objects or pedestrians; prevent impending collisions and lane departure warning to the driver.

The benefits of autonomous vehicles are:
a. Reduce traffic collisions – autonomous vehicles increase reliability and quick respond time compare with human.
b. Fewer traffic congestion and enlarge roadway capacity – the safety gaps between vehicles area are reduced and better traffic flow management.
c. Higher speed limit.
d. Alleviation of parking space – as the vehicles can park far away after drop off the passenger and return back as request by passenger.
e. The need of traffic police and vehicle insurance are reduced.

The mechanism of lane departure warning system is to warn the driver when the vehicle departure its lane unless the driver provide a turn signal on that direction on the road. designed to prevent the cost of accidents by driver error, distraction and drowsiness

There are two main type of lane departure warning system. One is warn the driver if the vehicle is leaving its lane by visual, audible, and/or vibration warning The other one is warn the driver and, if no action is taken, the vehicle stays in its lane automatically.

The lane departure warning system consists of traffic lane line extraction, reconstruction of the lane line in computer image, computing the position of the vehicle and provides a warning signal to the driver.

The main function of the traffic lane line extraction is the extract the lane line from the input image and converts to computer image for lane line construction.

By using the threshold value of the image, we can easily extract the lane line form the input image.

B. LITERATURE SEARCH

Several...

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