Autonomous robot with lane detection system

Mohd. Junaidi Mohd. Taib (2005) Autonomous robot with lane detection system. Universiti Malaysia Sabah. (Unpublished)


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Autonomous robots have made their impact felt in industry for the past 20-30 years. More recently, the technology has been applied to vehicles in an attempt to create the autonomous car. Although hardware and software has been steadily advancing there have still been very few car projects to achieve complete autonomy and none to achieve commercial viability. Since the potential of soft-computing for driver assistance systems has been recognized, much effort has been spent in the development of appropriate techniques for robust lane detection, object classification, tracking, and representation of task relevant objects. For such systems in order to be able to perform their tasks the environment must be sensed by one or more sensors. Usually a complex processing, fusion, and interpretation of the sensor data is required and imposes a modular architecture for the overall system. This project is about constructing the computer vision hardware and software components of an autonomous lane detection robot. The hardware setup makes use of a camera to view of its surroundings. The computer vision software is required to locate the lane and is based on Hough Transform method.

Item Type: Academic Exercise
Uncontrolled Keywords: Hough Transform method, autonomous robot, lane detection, object classification
Subjects: T Technology > TJ Mechanical engineering and machinery
Divisions: SCHOOL > School of Engineering and Information Technology
Date Deposited: 09 Dec 2013 12:36
Last Modified: 11 Oct 2017 11:05

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