Implementation of Autonomous Vehicle Navigation Algorithms Using Event-Driven Programming
Autonomous navigation is an important feature in robotics as it provides mobile robot with the ability to traverse from one point to another point while avoiding any obstacles that lie within its path. One of the challenges is to reduce the complexity of the development of programs that can provide...
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2012
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my.utp.eprints.80962017-01-19T08:21:45Z Implementation of Autonomous Vehicle Navigation Algorithms Using Event-Driven Programming Saman, Abu Bakar Sayuti Sebastian , Patrick Malek, Nadhira Hasidin, Nurul Zahidah TK Electrical engineering. Electronics Nuclear engineering Autonomous navigation is an important feature in robotics as it provides mobile robot with the ability to traverse from one point to another point while avoiding any obstacles that lie within its path. One of the challenges is to reduce the complexity of the development of programs that can provide the pertaining artificial intelligence. The objective of this paper is to describe the implementation of autonomous navigation through the use of event-driven programming technique which was based on finite state machines (FSM). By using FSM to describe the behaviour of a navigating mobile robot, an equivalent algorithm can be developed. The algorithm can be relatively easy translated to a suitable program with event-driven programming technique. Two types of navigation, maze navigation and grid following; were implemented by persons with minimum to intermediate programming skill; exhibiting 2012-04-05 Conference or Workshop Item PeerReviewed application/pdf http://eprints.utp.edu.my/8096/1/1569574121.pdf Saman, Abu Bakar Sayuti and Sebastian , Patrick and Malek, Nadhira and Hasidin, Nurul Zahidah (2012) Implementation of Autonomous Vehicle Navigation Algorithms Using Event-Driven Programming. In: 4th International Conference on Intelligent and Advanced Systems (ICIAS 2012), 12-14 June 2012, Kuala Lumpur. http://eprints.utp.edu.my/8096/ |
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TK Electrical engineering. Electronics Nuclear engineering Saman, Abu Bakar Sayuti Sebastian , Patrick Malek, Nadhira Hasidin, Nurul Zahidah Implementation of Autonomous Vehicle Navigation Algorithms Using Event-Driven Programming |
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Autonomous navigation is an important feature in robotics as it provides mobile robot with the ability to traverse from one point to another point while avoiding any obstacles that lie within its path. One of the challenges is to reduce the complexity of the development of programs that can provide the pertaining artificial intelligence. The objective of this paper is to describe the implementation of autonomous navigation through the use of event-driven programming technique which was based on finite state machines (FSM). By using FSM to describe the behaviour of a navigating mobile robot, an equivalent algorithm can be developed. The algorithm can be relatively easy translated to a suitable program with event-driven programming technique. Two types of navigation, maze navigation and grid following; were implemented by persons with minimum to intermediate programming skill; exhibiting |
format |
Conference or Workshop Item |
author |
Saman, Abu Bakar Sayuti Sebastian , Patrick Malek, Nadhira Hasidin, Nurul Zahidah |
author_facet |
Saman, Abu Bakar Sayuti Sebastian , Patrick Malek, Nadhira Hasidin, Nurul Zahidah |
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Saman, Abu Bakar Sayuti |
title |
Implementation of Autonomous Vehicle Navigation Algorithms Using Event-Driven Programming |
title_short |
Implementation of Autonomous Vehicle Navigation Algorithms Using Event-Driven Programming |
title_full |
Implementation of Autonomous Vehicle Navigation Algorithms Using Event-Driven Programming |
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Implementation of Autonomous Vehicle Navigation Algorithms Using Event-Driven Programming |
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Implementation of Autonomous Vehicle Navigation Algorithms Using Event-Driven Programming |
title_sort |
implementation of autonomous vehicle navigation algorithms using event-driven programming |
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2012 |
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http://eprints.utp.edu.my/8096/1/1569574121.pdf http://eprints.utp.edu.my/8096/ |
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1738655629798539264 |
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