Long-Term Visual Localization Revisited

Visual localization enables autonomous vehicles to navigate in their surroundings and augmented reality applications to link virtual to real worlds. Practical visual localization approaches need to be robust to a wide variety of viewing conditions, including day-night changes, as well as weather and...

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Vydané v:	IEEE transactions on pattern analysis and machine intelligence Ročník 44; číslo 4; s. 2074 - 2088
Hlavní autori:	Toft, Carl, Maddern, Will, Torii, Akihiko, Hammarstrand, Lars, Stenborg, Erik, Safari, Daniel, Okutomi, Masatoshi, Pollefeys, Marc, Sivic, Josef, Pajdla, Tomas, Kahl, Fredrik, Sattler, Torsten
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States IEEE 01.04.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Institute of Electrical and Electronics Engineers
Predmet:	6DOF pose estimation Algorithms Augmented reality Autonomous navigation benchmark Benchmark testing Cameras Computer Science Computer Vision and Pattern Recognition Datasets Localization long-term localization Pose estimation relocalization Robots Seasonal variations Solid modeling Solid modelling Test sets Three-dimensional analysis Three-dimensional displays Trajectory Viewing Virtual reality Visual localization Visualization Benchmark Relocalization Long-term localization 6DOF pose estimation Visual localization
ISSN:	0162-8828, 1939-3539, 2160-9292, 1939-3539
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