A New System-On-Programmable-Chip (SOPC) for Smart Car Braking Control

Yu, Y; Kwok, N; Ha, QP

A New System-On-Programmable-Chip (SOPC) for Smart Car Braking Control

Yu, Y Kwok, N Ha, QP

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Publisher:: Assumption University Thailand
Publication Type:: Conference Proceeding
Citation:: Proceedings of the 9th Int. Conference on Intelligent Technologies (InTech 2008), 2008, pp. 34 - 39
Issue Date:: 2008-01

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Field	Value	Language
dc.contributor.author	Yu, Y	en_US
dc.contributor.author	Kwok, N	en_US
dc.contributor.author	Ha, QP https://orcid.org/0000-0003-0978-1758	en_US
dc.contributor.editor	Kreinovich, V	en_US
dc.contributor.editor	Santiprabhob, P	en_US
dc.contributor.editor	Yeophantong, T	en_US
dc.date	2008-10-07	en_US
dc.date.issued	2008-01	en_US
dc.identifier.citation	Proceedings of the 9th Int. Conference on Intelligent Technologies (InTech 2008), 2008, pp. 34 - 39	en_US
dc.identifier.isbn	978-9-7461529-6-9	en_US
dc.identifier.uri	http://hdl.handle.net/10453/11979
dc.description.abstract	This paper presents a new system- on-programmable chip (SOPC) design for vehicle braking control systems. Unlike the conventional control theoretic or fuzzy logic control approaches, where control signals are mostly computed on general purpose computers, the control here is much simpler and can be implemented reliably based on a single chip processor. We propose a braking nervous factor (BNF) to predict the braking responses of a driver for arbitrary distance and relative speed of two vehicles moving in a straight line. The proposed BNF control system can learn from the braking experience from the driver, and thus a database can be created for autonomous driving to offer the driver both safety and comfort.	en_US
dc.publisher	Assumption University Thailand	en_US
dc.relation.ispartof	Proceedings of the 9th Int. Conference on Intelligent Technologies (InTech 2008)	en_US
dc.relation.ispartof	International Conference on Intelligent Technologies	en_US
dc.title	A New System-On-Programmable-Chip (SOPC) for Smart Car Braking Control	en_US
dc.type	Conference Proceeding
utslib.location	Bangkok Thailand	en_US
utslib.location.activity	Samui Thailand	en_US
utslib.for	0902 Automotive Engineering	en_US
dc.location.activity	Samui Thailand	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Mechanical and Mechatronic Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CBI - Centre for Built Infrastructure
utslib.copyright.status	open_access
pubs.consider-herdc	true	en_US
pubs.place-of-publication	Bangkok Thailand	en_US
pubs.start-date	2008-10-07	en_US

Abstract:

This paper presents a new system- on-programmable chip (SOPC) design for vehicle braking control systems. Unlike the conventional control theoretic or fuzzy logic control approaches, where control signals are mostly computed on general purpose computers, the control here is much simpler and can be implemented reliably based on a single chip processor. We propose a braking nervous factor (BNF) to predict the braking responses of a driver for arbitrary distance and relative speed of two vehicles moving in a straight line. The proposed BNF control system can learn from the braking experience from the driver, and thus a database can be created for autonomous driving to offer the driver both safety and comfort.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/11979