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Development and Testing of a Scale A...
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Martin, George.
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Development and Testing of a Scale Autonomous Vehicle for Control Research.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Development and Testing of a Scale Autonomous Vehicle for Control Research./
作者:
Martin, George.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2023,
面頁冊數:
67 p.
附註:
Source: Masters Abstracts International, Volume: 85-03.
Contained By:
Masters Abstracts International85-03.
標題:
Mechanical engineering. -
電子資源:
https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30522253
ISBN:
9798380359221
Development and Testing of a Scale Autonomous Vehicle for Control Research.
Martin, George.
Development and Testing of a Scale Autonomous Vehicle for Control Research.
- Ann Arbor : ProQuest Dissertations & Theses, 2023 - 67 p.
Source: Masters Abstracts International, Volume: 85-03.
Thesis (M.S.)--University of California, Davis, 2023.
This item must not be sold to any third party vendors.
This thesis will present the development and construction of a scale autonomous vehicle, along with its software development. The platform will serve as a means to test various lateral controllers and compare their results. Using Buckingham Pi Theorem, the platform will be scaled to achieve dynamic similitude with a standard electric vehicle, while utilizing common sensors found in modern autonomous vehicle systems. The software framework will be created using modern software packages, allowing for easy integration with a wide range of useful robotics tool kits and providing the ability to modify the car for various future applications. The study will examine the performance of a variety of control methodologies, with consideration for both their simulated and actual performance on the scaled car.
ISBN: 9798380359221Subjects--Topical Terms:
649730
Mechanical engineering.
Subjects--Index Terms:
Autonomous steering
Development and Testing of a Scale Autonomous Vehicle for Control Research.
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This thesis will present the development and construction of a scale autonomous vehicle, along with its software development. The platform will serve as a means to test various lateral controllers and compare their results. Using Buckingham Pi Theorem, the platform will be scaled to achieve dynamic similitude with a standard electric vehicle, while utilizing common sensors found in modern autonomous vehicle systems. The software framework will be created using modern software packages, allowing for easy integration with a wide range of useful robotics tool kits and providing the ability to modify the car for various future applications. The study will examine the performance of a variety of control methodologies, with consideration for both their simulated and actual performance on the scaled car.
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