Matches in SemOpenAlex for { <https://semopenalex.org/work/W3120202489> ?p ?o ?g. }
- W3120202489 endingPage "8478" @default.
- W3120202489 startingPage "8464" @default.
- W3120202489 abstract "Visual 3D perception is considered as an essential technique in autonomous systems and has been widely used in robot perception, autonomous driving, VR/AR, etc. This article focuses on the influence of visual sensor deployment on perception quality, and studies both temporal and spatial cooperations in visual 3D perception from a perspective of information gains. In particular, we first propose a metric to evaluate the perception quality under a specific sensor deployment based on statistical analysis. Then the essential properties of the Fisher information matrix in visual 3D perception are derived to reveal the information gains of observations from visual sensors of an arbitrary pose, with the geometric interpretations given in the eigenspace. Besides, we also investigate both temporal and spatial cooperations for optimal sensor deployment with respect to visual 3D perception quality, and propose a next-best-view selection scheme for the temporal cooperation and a camera configuration scheme for the spatial cooperation. Numerical results validate our theoretical analysis and the performance of our schemes." @default.
- W3120202489 created "2021-01-18" @default.
- W3120202489 creator A5041693301 @default.
- W3120202489 creator A5052022779 @default.
- W3120202489 creator A5075829501 @default.
- W3120202489 date "2021-03-15" @default.
- W3120202489 modified "2023-09-23" @default.
- W3120202489 title "Sensor Deployment for Visual 3D Perception: A Perspective of Information Gains" @default.
- W3120202489 cites W1187244281 @default.
- W3120202489 cites W1516539966 @default.
- W3120202489 cites W1524403875 @default.
- W3120202489 cites W1603426217 @default.
- W3120202489 cites W1770157921 @default.
- W3120202489 cites W1820096659 @default.
- W3120202489 cites W1969476645 @default.
- W3120202489 cites W1970504153 @default.
- W3120202489 cites W1989838848 @default.
- W3120202489 cites W2013229266 @default.
- W3120202489 cites W2069479606 @default.
- W3120202489 cites W2089659963 @default.
- W3120202489 cites W2106065105 @default.
- W3120202489 cites W2108134361 @default.
- W3120202489 cites W2113243634 @default.
- W3120202489 cites W2125240024 @default.
- W3120202489 cites W2129404737 @default.
- W3120202489 cites W2142924305 @default.
- W3120202489 cites W2147981762 @default.
- W3120202489 cites W2150066425 @default.
- W3120202489 cites W2151290401 @default.
- W3120202489 cites W2152195021 @default.
- W3120202489 cites W2152671441 @default.
- W3120202489 cites W2152864241 @default.
- W3120202489 cites W2160014001 @default.
- W3120202489 cites W2198527813 @default.
- W3120202489 cites W2299529128 @default.
- W3120202489 cites W2341874503 @default.
- W3120202489 cites W2471962767 @default.
- W3120202489 cites W2474281075 @default.
- W3120202489 cites W2530592706 @default.
- W3120202489 cites W2580831541 @default.
- W3120202489 cites W2605843382 @default.
- W3120202489 cites W2803600673 @default.
- W3120202489 cites W2883152037 @default.
- W3120202489 cites W2884742271 @default.
- W3120202489 cites W2955505714 @default.
- W3120202489 cites W2995780046 @default.
- W3120202489 cites W3102327032 @default.
- W3120202489 cites W3103648783 @default.
- W3120202489 cites W3104616090 @default.
- W3120202489 cites W3123514128 @default.
- W3120202489 cites W4231002530 @default.
- W3120202489 cites W4243970992 @default.
- W3120202489 cites W612478963 @default.
- W3120202489 doi "https://doi.org/10.1109/jsen.2021.3050325" @default.
- W3120202489 hasPublicationYear "2021" @default.
- W3120202489 type Work @default.
- W3120202489 sameAs 3120202489 @default.
- W3120202489 citedByCount "11" @default.
- W3120202489 countsByYear W31202024892021 @default.
- W3120202489 countsByYear W31202024892022 @default.
- W3120202489 countsByYear W31202024892023 @default.
- W3120202489 crossrefType "journal-article" @default.
- W3120202489 hasAuthorship W3120202489A5041693301 @default.
- W3120202489 hasAuthorship W3120202489A5052022779 @default.
- W3120202489 hasAuthorship W3120202489A5075829501 @default.
- W3120202489 hasConcept C105339364 @default.
- W3120202489 hasConcept C111919701 @default.
- W3120202489 hasConcept C12713177 @default.
- W3120202489 hasConcept C127413603 @default.
- W3120202489 hasConcept C154945302 @default.
- W3120202489 hasConcept C169760540 @default.
- W3120202489 hasConcept C176217482 @default.
- W3120202489 hasConcept C178253425 @default.
- W3120202489 hasConcept C21547014 @default.
- W3120202489 hasConcept C26760741 @default.
- W3120202489 hasConcept C31972630 @default.
- W3120202489 hasConcept C36464697 @default.
- W3120202489 hasConcept C41008148 @default.
- W3120202489 hasConcept C86803240 @default.
- W3120202489 hasConcept C90509273 @default.
- W3120202489 hasConceptScore W3120202489C105339364 @default.
- W3120202489 hasConceptScore W3120202489C111919701 @default.
- W3120202489 hasConceptScore W3120202489C12713177 @default.
- W3120202489 hasConceptScore W3120202489C127413603 @default.
- W3120202489 hasConceptScore W3120202489C154945302 @default.
- W3120202489 hasConceptScore W3120202489C169760540 @default.
- W3120202489 hasConceptScore W3120202489C176217482 @default.
- W3120202489 hasConceptScore W3120202489C178253425 @default.
- W3120202489 hasConceptScore W3120202489C21547014 @default.
- W3120202489 hasConceptScore W3120202489C26760741 @default.
- W3120202489 hasConceptScore W3120202489C31972630 @default.
- W3120202489 hasConceptScore W3120202489C36464697 @default.
- W3120202489 hasConceptScore W3120202489C41008148 @default.
- W3120202489 hasConceptScore W3120202489C86803240 @default.
- W3120202489 hasConceptScore W3120202489C90509273 @default.
- W3120202489 hasFunder F4320321001 @default.
- W3120202489 hasFunder F4320322392 @default.
- W3120202489 hasIssue "6" @default.