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Event-Based Perception for Ground Vehicle Control- [electronic resource]
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Event-Based Perception for Ground Vehicle Control- [electronic resource]
상세정보
- 자료유형
- 학위논문파일 국외
- 최종처리일시
- 20240214101517
- ISBN
- 9798380387903
- DDC
- 629.8
- 서명/저자
- Event-Based Perception for Ground Vehicle Control - [electronic resource]
- 발행사항
- [S.l.]: : University of Pennsylvania., 2023
- 발행사항
- Ann Arbor : : ProQuest Dissertations & Theses,, 2023
- 형태사항
- 1 online resource(195 p.)
- 주기사항
- Source: Dissertations Abstracts International, Volume: 85-03, Section: B.
- 주기사항
- Advisor: Daniilidis, Kostas;Matni, Nikolai.
- 학위논문주기
- Thesis (Ph.D.)--University of Pennsylvania, 2023.
- 사용제한주기
- This item must not be sold to any third party vendors.
- 초록/해제
- 요약Autonomous vehicles rely on environmental perception to inform the system on how to act. Vision sensors, such as conventional cameras, have been at the forefront of the perception of most mobile platforms. However, conventional cameras have limitations such as high data rates, low dynamic range, and high latency. Dynamic vision sensors, such as event cameras, address and overcome those shortcomings by recording changes in the logarithm of light intensity at pixel level asynchronously and independently. With the benefits of high dynamic range, low power consumption, low latency, and high temporal resolution, event cameras excel as vision sensors for autonomous ground vehicle applications. This dissertation highlights the use of event cameras to inform control decisions for autonomous ground vehicles. Additionally, it introduces a new 1/10th scale autonomous testing platform, Ryder. Ryder is used to demonstrate real-time event informed control.
- 일반주제명
- Robotics.
- 일반주제명
- Information technology.
- 일반주제명
- Electrical engineering.
- 키워드
- Vision sensors
- 키워드
- Event cameras
- 기타저자
- University of Pennsylvania Electrical and Systems Engineering
- 기본자료저록
- Dissertations Abstracts International. 85-03B.
- 기본자료저록
- Dissertation Abstract International
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■00520240214101517
■006m o d
■007cr#unu||||||||
■020 ▼a9798380387903
■035 ▼a(MiAaPQ)AAI30569462
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a629.8
■1001 ▼aQueen, Kendall J.
■24510▼aEvent-Based Perception for Ground Vehicle Control▼h[electronic resource]
■260 ▼a[S.l.]:▼bUniversity of Pennsylvania. ▼c2023
■260 1▼aAnn Arbor :▼bProQuest Dissertations & Theses, ▼c2023
■300 ▼a1 online resource(195 p.)
■500 ▼aSource: Dissertations Abstracts International, Volume: 85-03, Section: B.
■500 ▼aAdvisor: Daniilidis, Kostas;Matni, Nikolai.
■5021 ▼aThesis (Ph.D.)--University of Pennsylvania, 2023.
■506 ▼aThis item must not be sold to any third party vendors.
■520 ▼aAutonomous vehicles rely on environmental perception to inform the system on how to act. Vision sensors, such as conventional cameras, have been at the forefront of the perception of most mobile platforms. However, conventional cameras have limitations such as high data rates, low dynamic range, and high latency. Dynamic vision sensors, such as event cameras, address and overcome those shortcomings by recording changes in the logarithm of light intensity at pixel level asynchronously and independently. With the benefits of high dynamic range, low power consumption, low latency, and high temporal resolution, event cameras excel as vision sensors for autonomous ground vehicle applications. This dissertation highlights the use of event cameras to inform control decisions for autonomous ground vehicles. Additionally, it introduces a new 1/10th scale autonomous testing platform, Ryder. Ryder is used to demonstrate real-time event informed control.
■590 ▼aSchool code: 0175.
■650 4▼aRobotics.
■650 4▼aInformation technology.
■650 4▼aElectrical engineering.
■653 ▼aAutonomous vehicles
■653 ▼aVision sensors
■653 ▼aConventional cameras
■653 ▼aEvent cameras
■690 ▼a0771
■690 ▼a0489
■690 ▼a0544
■71020▼aUniversity of Pennsylvania▼bElectrical and Systems Engineering.
■7730 ▼tDissertations Abstracts International▼g85-03B.
■773 ▼tDissertation Abstract International
■790 ▼a0175
■791 ▼aPh.D.
■792 ▼a2023
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T16934007▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
■980 ▼a202402▼f2024
