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008200131s2019 ||||||||||||||||| ||eng d
020 ▼a 9781085669535
035 ▼a (MiAaPQ)AAI27536605
035 ▼a (MiAaPQ)umichrackham002207
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 247004
0820 ▼a 621
1001 ▼a Febbo, Huckleberry.
24510 ▼a Real-time Trajectory Planning to Enable Safe and Performant Automated Vehicles Operating in Unknown Dynamic Environments.
260 ▼a [S.l.]: ▼b University of Michigan., ▼c 2019.
260 1 ▼a Ann Arbor: ▼b ProQuest Dissertations & Theses, ▼c 2019.
300 ▼a 179 p.
500 ▼a Source: Dissertations Abstracts International, Volume: 81-02, Section: B.
500 ▼a Advisor: Ersal, Tulga
5021 ▼a Thesis (Ph.D.)--University of Michigan, 2019.
506 ▼a This item must not be sold to any third party vendors.
506 ▼a This item must not be added to any third party search indexes.
520 ▼a Need 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
590 ▼a School code: 0127.
650 4 ▼a Mechanical engineering.
690 ▼a 0548
71020 ▼a University of Michigan. ▼b Mechanical Engineering.
7730 ▼t Dissertations Abstracts International ▼g 81-02B.
773 ▼t Dissertation Abstract International
790 ▼a 0127
791 ▼a Ph.D.
792 ▼a 2019
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T15494300 ▼n KERIS ▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다.
980 ▼a 202002 ▼f 2020
990 ▼a ***1008102
991 ▼a E-BOOK