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Real-time Trajectory Planning to Enable Safe and Performant Automated Vehicles Operating in Unknown Dynamic Environments

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서명/저자사항Real-time Trajectory Planning to Enable Safe and Performant Automated Vehicles Operating in Unknown Dynamic Environments.
개인저자Febbo, Huckleberry.
단체저자명University of Michigan. Mechanical Engineering.
발행사항[S.l.]: University of Michigan., 2019.
발행사항Ann Arbor: ProQuest Dissertations & Theses, 2019.
형태사항179 p.
기본자료 저록Dissertations Abstracts International 81-02B.
Dissertation Abstract International
ISBN9781085669535
학위논문주기Thesis (Ph.D.)--University of Michigan, 2019.
일반주기 Source: Dissertations Abstracts International, Volume: 81-02, Section: B.
Advisor: Ersal, Tulga
이용제한사항This item must not be sold to any third party vendors.This item must not be added to any third party search indexes.
요약Need for increased automated vehicle safety and performance will exist until control systems can fully exploit the vehicle's maneuvering capacity to avoid collisions with both static and moving obstacles in unknown environments. A safe and performance-based trajectory planning algorithm exists that can operate an automated vehicle in unknown static environments. However, this algorithm cannot be used safely in unknown dynamic environments
일반주제명Mechanical engineering.
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