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Virtually Anywhere: Robust Pose Acquisition and Tracking for XR With Reduced Reliance on Vision and Infrastructure
Virtually Anywhere: Robust Pose Acquisition and Tracking for XR With Reduced Reliance on Vision and Infrastructure
상세정보
- 자료유형
- 학위논문 서양
- 최종처리일시
- 20260202103147
- ISBN
- 9798291595503
- DDC
- 621.3
- 저자명
- Miller, John.
- 서명/저자
- Virtually Anywhere: Robust Pose Acquisition and Tracking for XR With Reduced Reliance on Vision and Infrastructure
- 발행사항
- [Sl] : Carnegie Mellon University, 2025
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2025
- 형태사항
- 170 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 87-03, Section: B.
- 주기사항
- Advisor: Rowe, Anthony.
- 학위논문주기
- Thesis (Ph.D.)--Carnegie Mellon University, 2025.
- 초록/해제
- 요약In order for XR interfaces to evoke the illusion of virtual content coexisting with the physical world, they rely on precise localization and tracking to spatially align the two. Current platforms accomplish this through a myriad of sensing, estimation, and mapping approaches, ranging from lightweight tracking with inexpensive cameras (eg. ARKit, Snapchat, Meta Quest) to full-fledged optical motion capture systems (eg. Hollywood VFX studios). However, existing platforms are unsuitable for applications that require instant-on and/or infrastructure-free operation, particularly in domains where vision-based sensors fall short. In this work, we address these limitations by exploring active visual fiducials, lightweight radio-frequency infrastructure, peer-to-peer localization, and radar-based tracking and mapping. We show how these techniques can drastically improve the reliability of pose acquisition and tracking for XR platforms while simultaneously reducing infrastructure costs, with the goal of enabling truly ubiquitous spatial understanding for future XR applications.
- 일반주제명
- Electrical engineering
- 일반주제명
- Computer engineering
- 일반주제명
- Computer science
- 일반주제명
- Information technology
- 키워드
- Localization
- 키워드
- Sensing
- 키워드
- Virtual reality
- 키워드
- XR interfaces
- 기타저자
- Carnegie Mellon University Electrical and Computer Engineering
- 기본자료저록
- Dissertations Abstracts International. 87-03B.
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■006m o d
■007cr#unu||||||||
■020 ▼a9798291595503
■035 ▼a(MiAaPQ)AAI31995808
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a621.3
■1001 ▼aMiller, John.▼0(orcid)0000-0001-5651-5650
■24510▼aVirtually Anywhere: Robust Pose Acquisition and Tracking for XR With Reduced Reliance on Vision and Infrastructure
■260 ▼a[Sl]▼bCarnegie Mellon University▼c2025
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2025
■300 ▼a170 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 87-03, Section: B.
■500 ▼aAdvisor: Rowe, Anthony.
■5021 ▼aThesis (Ph.D.)--Carnegie Mellon University, 2025.
■520 ▼aIn order for XR interfaces to evoke the illusion of virtual content coexisting with the physical world, they rely on precise localization and tracking to spatially align the two. Current platforms accomplish this through a myriad of sensing, estimation, and mapping approaches, ranging from lightweight tracking with inexpensive cameras (eg. ARKit, Snapchat, Meta Quest) to full-fledged optical motion capture systems (eg. Hollywood VFX studios). However, existing platforms are unsuitable for applications that require instant-on and/or infrastructure-free operation, particularly in domains where vision-based sensors fall short. In this work, we address these limitations by exploring active visual fiducials, lightweight radio-frequency infrastructure, peer-to-peer localization, and radar-based tracking and mapping. We show how these techniques can drastically improve the reliability of pose acquisition and tracking for XR platforms while simultaneously reducing infrastructure costs, with the goal of enabling truly ubiquitous spatial understanding for future XR applications.
■590 ▼aSchool code: 0041.
■650 4▼aElectrical engineering
■650 4▼aComputer engineering
■650 4▼aComputer science
■650 4▼aInformation technology
■653 ▼aAugmented reality
■653 ▼aLocalization
■653 ▼aSensing
■653 ▼aVirtual reality
■653 ▼aXR interfaces
■690 ▼a0544
■690 ▼a0489
■690 ▼a0984
■690 ▼a0464
■71020▼aCarnegie Mellon University▼bElectrical and Computer Engineering.
■7730 ▼tDissertations Abstracts International▼g87-03B.
■790 ▼a0041
■791 ▼aPh.D.
■792 ▼a2025
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17357202▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
