Matches in SemOpenAlex for { <https://semopenalex.org/work/W2889788701> ?p ?o ?g. }
- W2889788701 abstract "Visual localization, i.e., determining the position and orientation of a vehicle with respect to a map, is a key problem in autonomous driving. We present a multicamera visual inertial localization algorithm for large scale environments. To efficiently and effectively match features against a pre-built global 3D map, we propose a prioritized feature matching scheme for multi-camera systems. In contrast to existing works, designed for monocular cameras, we (1) tailor the prioritization function to the multi-camera setup and (2) run feature matching and pose estimation in parallel. This significantly accelerates the matching and pose estimation stages and allows us to dynamically adapt the matching efforts based on the surrounding environment. In addition, we show how pose priors can be integrated into the localization system to increase efficiency and robustness. Finally, we extend our algorithm by fusing the absolute pose estimates with motion estimates from a multi-camera visual inertial odometry pipeline (VIO). This results in a system that provides reliable and drift-less pose estimation. Extensive experiments show that our localization runs fast and robust under varying conditions, and that our extended algorithm enables reliable real-time pose estimation." @default.
- W2889788701 created "2018-09-27" @default.
- W2889788701 creator A5011683384 @default.
- W2889788701 creator A5021908609 @default.
- W2889788701 creator A5075311772 @default.
- W2889788701 creator A5078539997 @default.
- W2889788701 creator A5085472864 @default.
- W2889788701 date "2018-09-17" @default.
- W2889788701 modified "2023-09-27" @default.
- W2889788701 title "Efficient 2D-3D Matching for Multi-Camera Visual Localization" @default.
- W2889788701 cites W1131710387 @default.
- W2889788701 cites W1499148156 @default.
- W2889788701 cites W1552672384 @default.
- W2889788701 cites W1565312575 @default.
- W2889788701 cites W1616969904 @default.
- W2889788701 cites W1981526430 @default.
- W2889788701 cites W1989476314 @default.
- W2889788701 cites W2037710098 @default.
- W2889788701 cites W2085078372 @default.
- W2889788701 cites W2085261163 @default.
- W2889788701 cites W2091520273 @default.
- W2889788701 cites W2100656575 @default.
- W2889788701 cites W2118341165 @default.
- W2889788701 cites W2124509324 @default.
- W2889788701 cites W2151103935 @default.
- W2889788701 cites W2151290401 @default.
- W2889788701 cites W2170647363 @default.
- W2889788701 cites W2278591674 @default.
- W2889788701 cites W2471962767 @default.
- W2889788701 cites W2495591376 @default.
- W2889788701 cites W2519742283 @default.
- W2889788701 cites W2522940611 @default.
- W2889788701 cites W2584731199 @default.
- W2889788701 cites W2593864460 @default.
- W2889788701 cites W2612970248 @default.
- W2889788701 cites W2728498859 @default.
- W2889788701 cites W2739091022 @default.
- W2889788701 cites W2740418457 @default.
- W2889788701 cites W2744749505 @default.
- W2889788701 cites W2780675120 @default.
- W2889788701 cites W2910508725 @default.
- W2889788701 cites W2949481100 @default.
- W2889788701 cites W2949587109 @default.
- W2889788701 cites W2962799344 @default.
- W2889788701 cites W2963053725 @default.
- W2889788701 cites W2963324085 @default.
- W2889788701 cites W2963469388 @default.
- W2889788701 cites W2963856988 @default.
- W2889788701 cites W2964158430 @default.
- W2889788701 cites W2967591132 @default.
- W2889788701 cites W3102327032 @default.
- W2889788701 hasPublicationYear "2018" @default.
- W2889788701 type Work @default.
- W2889788701 sameAs 2889788701 @default.
- W2889788701 citedByCount "0" @default.
- W2889788701 crossrefType "posted-content" @default.
- W2889788701 hasAuthorship W2889788701A5011683384 @default.
- W2889788701 hasAuthorship W2889788701A5021908609 @default.
- W2889788701 hasAuthorship W2889788701A5075311772 @default.
- W2889788701 hasAuthorship W2889788701A5078539997 @default.
- W2889788701 hasAuthorship W2889788701A5085472864 @default.
- W2889788701 hasConcept C104317684 @default.
- W2889788701 hasConcept C105795698 @default.
- W2889788701 hasConcept C138885662 @default.
- W2889788701 hasConcept C154945302 @default.
- W2889788701 hasConcept C165064840 @default.
- W2889788701 hasConcept C185592680 @default.
- W2889788701 hasConcept C19966478 @default.
- W2889788701 hasConcept C22100474 @default.
- W2889788701 hasConcept C2776401178 @default.
- W2889788701 hasConcept C2983787585 @default.
- W2889788701 hasConcept C31972630 @default.
- W2889788701 hasConcept C33923547 @default.
- W2889788701 hasConcept C36613465 @default.
- W2889788701 hasConcept C41008148 @default.
- W2889788701 hasConcept C41895202 @default.
- W2889788701 hasConcept C49441653 @default.
- W2889788701 hasConcept C52102323 @default.
- W2889788701 hasConcept C52622490 @default.
- W2889788701 hasConcept C55493867 @default.
- W2889788701 hasConcept C5799516 @default.
- W2889788701 hasConcept C63479239 @default.
- W2889788701 hasConcept C65909025 @default.
- W2889788701 hasConcept C79061980 @default.
- W2889788701 hasConcept C86369673 @default.
- W2889788701 hasConcept C90509273 @default.
- W2889788701 hasConceptScore W2889788701C104317684 @default.
- W2889788701 hasConceptScore W2889788701C105795698 @default.
- W2889788701 hasConceptScore W2889788701C138885662 @default.
- W2889788701 hasConceptScore W2889788701C154945302 @default.
- W2889788701 hasConceptScore W2889788701C165064840 @default.
- W2889788701 hasConceptScore W2889788701C185592680 @default.
- W2889788701 hasConceptScore W2889788701C19966478 @default.
- W2889788701 hasConceptScore W2889788701C22100474 @default.
- W2889788701 hasConceptScore W2889788701C2776401178 @default.
- W2889788701 hasConceptScore W2889788701C2983787585 @default.
- W2889788701 hasConceptScore W2889788701C31972630 @default.
- W2889788701 hasConceptScore W2889788701C33923547 @default.
- W2889788701 hasConceptScore W2889788701C36613465 @default.
- W2889788701 hasConceptScore W2889788701C41008148 @default.