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[ subject:"Computer engineering." ]
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An Autonomous Road-Following Embedde...
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Fu, Yi.
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An Autonomous Road-Following Embedded System for Multiple Intelligent Vehicles.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
An Autonomous Road-Following Embedded System for Multiple Intelligent Vehicles./
作者:
Fu, Yi.
面頁冊數:
90 p.
附註:
Source: Masters Abstracts International, Volume: 50-02, page: 1181.
Contained By:
Masters Abstracts International50-02.
標題:
Computer engineering. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=MR80678
ISBN:
9780494806784
An Autonomous Road-Following Embedded System for Multiple Intelligent Vehicles.
Fu, Yi.
An Autonomous Road-Following Embedded System for Multiple Intelligent Vehicles.
- 90 p.
Source: Masters Abstracts International, Volume: 50-02, page: 1181.
Thesis (M.Sc.E.)--University of New Brunswick (Canada), 2009.
Autonomous road-following is one of the major goals in intelligent vehicle applications. While the autonomous road-following system for a single robot is difficult enough, moving to a system with multiple robots adds more challenges. The development of an autonomous road-following embedded system for multiple intelligent vehicles is the focus of this thesis. A fuzzy logic controller (FLC) is designed for vision-based autonomous road-following. The stability analysis of this control system using Lyapunov's direct method is conducted. The proposed control system is carried out with two kinds of implementations: a microprocessor as the software implementation and field programmable gate arrays (FPGAs) as the hardware implementation. To reduce the cost while meeting the performance requirement, a hardware/software co-design strategy is developed for the embedded system. A hardware/software partitioning method using the genetic algorithm (GA) is developed as the hardware/-software co-design strategy, and this embedded system is implemented partially on a microprocessor and partially on FPGA gates. Finally, the coordinated hybrid agent framework is applied to implement road-following for multiple intelligent vehicles.
ISBN: 9780494806784Subjects--Topical Terms:
621879
Computer engineering.
An Autonomous Road-Following Embedded System for Multiple Intelligent Vehicles.
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Source: Masters Abstracts International, Volume: 50-02, page: 1181.
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Advisers: Howard Li; Mary E. Kaye.
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Thesis (M.Sc.E.)--University of New Brunswick (Canada), 2009.
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Autonomous road-following is one of the major goals in intelligent vehicle applications. While the autonomous road-following system for a single robot is difficult enough, moving to a system with multiple robots adds more challenges. The development of an autonomous road-following embedded system for multiple intelligent vehicles is the focus of this thesis. A fuzzy logic controller (FLC) is designed for vision-based autonomous road-following. The stability analysis of this control system using Lyapunov's direct method is conducted. The proposed control system is carried out with two kinds of implementations: a microprocessor as the software implementation and field programmable gate arrays (FPGAs) as the hardware implementation. To reduce the cost while meeting the performance requirement, a hardware/software co-design strategy is developed for the embedded system. A hardware/software partitioning method using the genetic algorithm (GA) is developed as the hardware/-software co-design strategy, and this embedded system is implemented partially on a microprocessor and partially on FPGA gates. Finally, the coordinated hybrid agent framework is applied to implement road-following for multiple intelligent vehicles.
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Keywords: intelligent vehicles, autonomous road-following, fuzzy logic controller, hardware/software co-design, multi-agent systems, FPGA.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=MR80678
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