يعرض 1 - 10 نتائج من 26 نتيجة بحث عن '"Lars Hammarstrand"', وقت الاستعلام: 1.00s تنقيح النتائج
  1. 1
    Extended Object Tracking Using Sets Of Trajectories with a PHD Filter

    المؤلفون: Jakob Sjudin, Martin Marcusson, Lennart Svensson, Lars Hammarstrand

    مصطلحات موضوعية: FOS: Computer and information sciences, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, Applications (stat.AP), Statistics - Applications

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::335a1065108a9a7da1ab50e18e72f227
    http://arxiv.org/abs/2109.01019

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  2. 2
    Back to the Feature: Learning Robust Camera Localization from Pixels to Pose

    المؤلفون: Hugo Germain, Torsten Sattler, Fredrik Kahl, Paul-Edouard Sarlin, Vincent Lepetit, Marc Pollefeys, Viktor Larsson, Ajaykumar Unagar, Lars Hammarstrand, Måns Larsson, Carl Toft

    المساهمون: École des Ponts ParisTech (ENPC)

    المصدر: CVPR
    Conference on Computer Vision and Pattern Recognition
    Conference on Computer Vision and Pattern Recognition, 2021, Online, United States
    2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

    مصطلحات موضوعية: FOS: Computer and information sciences, Computer science, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, 02 engineering and technology, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], 0202 electrical engineering, electronic engineering, information engineering, Overhead (computing), Computer vision, Pose, Artificial neural network, Pixel, business.industry, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], Feature (computer vision), Computer Science::Computer Vision and Pattern Recognition, Metric (mathematics), 020201 artificial intelligence & image processing, Artificial intelligence, Focus (optics), business, Feature learning

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::22b78e02039e0f35d7f53b3be98d1f3a

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  3. 3
    Using Image Sequences for Long-Term Visual Localization

    المؤلفون: Lars Hammarstrand, Erik Stenborg, Torsten Sattler

    المصدر: 3DV

    مصطلحات موضوعية: 0209 industrial biotechnology, Computer science, business.industry, Scale-invariant feature transform, 02 engineering and technology, Simultaneous localization and mapping, Pipeline (software), Term (time), Visualization, 020901 industrial engineering & automation, Odometry, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Computer vision, Artificial intelligence, Visual odometry, business, Pose

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::e5a82ccebb7ff64bd11ea66b924d3fd3
    https://doi.org/10.1109/3dv50981.2020.00104

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  4. 4
    Long-Term Visual Localization Revisited

    المؤلفون: Akihiko Torii, Fredrik Kahl, Josef Sivic, Carl Toft, Daniel Safari, Lars Hammarstrand, Masatoshi Okutomi, Marc Pollefeys, Will Maddern, Tomas Pajdla, Torsten Sattler, Erik Stenborg

    المساهمون: Chalmers University of Technology [Gothenburg, Sweden], Oxford Robotics Institute (ORI), University of Oxford [Oxford], Tokyo Institute of Technology [Tokyo] (TITECH), Chalmers University of Technology [Göteborg], Technical University of Denmark [Lyngby] (DTU), Department of Computer Science [ETH Zürich] (D-INFK), Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] (ETH Zürich), Models of visual object recognition and scene understanding (WILLOW), Département d'informatique de l'École normale supérieure (DI-ENS), École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Inria de Paris, Institut National de Recherche en Informatique et en Automatique (Inria), Czech Institute of Informatics, Robotics and Cybernetics [Prague] (CIIRC), Czech Technical University in Prague (CTU), This work was partially supported by the European Regional Development Fund under the project IMPACT (reg.no. CZ.02.1.01/0.0/0.0/15003/0000468), JSPS KAKENHI Grant Number 15H05313, EPSRC Programme Grant EP/M019918/1, the Swedish Research Council (grant no. 2016-04445), and the Swedish Foundation for Strategic Research (Semantic Mapping and Visual Navigation for Smart Robots)., University of Oxford, Danmarks Tekniske Universitet = Technical University of Denmark (DTU), Département d'informatique - ENS Paris (DI-ENS), École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS-PSL), Inria de Paris, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Département d'informatique - ENS Paris (DI-ENS), Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche en Informatique et en Automatique (Inria)-École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)

    المصدر: IEEE Transactions on Pattern Analysis and Machine Intelligence
    IEEE Transactions on Pattern Analysis and Machine Intelligence, Institute of Electrical and Electronics Engineers, 2020, pp.14. ⟨10.1109/TPAMI.2020.3032010⟩
    IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020, pp.14. ⟨10.1109/TPAMI.2020.3032010⟩

    مصطلحات موضوعية: Computer science, 02 engineering and technology, Benchmark, Relocalization, Artificial Intelligence, 0202 electrical engineering, electronic engineering, information engineering, Computer vision, Pose, Long-term localization, Ground truth, business.industry, Applied Mathematics, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], 6DOF pose estimation, Visual localization, Visualization, Computational Theory and Mathematics, Feature (computer vision), Benchmark (computing), Robot, 020201 artificial intelligence & image processing, Augmented reality, Computer Vision and Pattern Recognition, Artificial intelligence, business, Software, Algorithms

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8c2fe59b2413c08c49dbc7e4bd2f4919
    https://pubmed.ncbi.nlm.nih.gov/33074802

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  5. 5
    Fine-Grained Segmentation Networks: Self-Supervised Segmentation for Improved Long-Term Visual Localization

    المؤلفون: Erik Stenborg, Lars Hammarstrand, Torsten Sattler, Fredrik Kahl, Måns Larsson, Carl Toft

    المصدر: ICCV

    مصطلحات موضوعية: FOS: Computer and information sciences, Artificial neural network, Computer science, business.industry, Computer Vision and Pattern Recognition (cs.CV), 020208 electrical & electronic engineering, Computer Science - Computer Vision and Pattern Recognition, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Pattern recognition, 02 engineering and technology, Visual localization, 68T45, Discriminative model, Robustness (computer science), 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Segmentation, Artificial intelligence, Invariant (mathematics), business

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::65a97bf054fa783409aefda6464ff609
    https://doi.org/10.1109/iccv.2019.00012

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  6. 6
    Coordination of Cooperative Autonomous Vehicles: Toward safer and more efficient road transportation

    المؤلفون: Henk Wymeersch, Paolo Falcone, Erik Steinmetz, Lars Hammarstrand, Gabriel Rodrigues de Campos, Robert Hult

    المصدر: IEEE Signal Processing Magazine
    IEEE Signal Processing Magazine (1053-5888) vol.33(2016)

    مصطلحات موضوعية: Computer science, 02 engineering and technology, Computer security, computer.software_genre, Engineering, Control theory, SAFER, 0502 economics and business, 0202 electrical engineering, electronic engineering, information engineering, Wireless, Electrical and Electronic Engineering, Intelligent transportation system, Transport Systems and Logistics, 050210 logistics & transportation, Network control, business.industry, Applied Mathematics, 05 social sciences, 020206 networking & telecommunications, Control Engineering, Signal Processing, Telecommunications, Key (cryptography), State (computer science), business, computer, Intersection (aeronautics)

    وصف الملف: application/pdf

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fa23dc7040cc900ab6065634bfa0146a
    https://doi.org/10.1109/msp.2016.2602005

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  7. 7
    Driver-Gaze Zone Estimation Using Bayesian Filtering and Gaussian Processes

    المؤلفون: Tomas McKelvey, Lars Hammarstrand, Malin Lundgren

    المصدر: IEEE Transactions on Intelligent Transportation Systems. 17:2739-2750

    مصطلحات موضوعية: Estimation, 050210 logistics & transportation, Computer science, business.industry, Mechanical Engineering, 05 social sciences, Probabilistic logic, 02 engineering and technology, Function (mathematics), Gaze, Computer Science Applications, symbols.namesake, 0502 economics and business, Automotive Engineering, 0202 electrical engineering, electronic engineering, information engineering, symbols, 020201 artificial intelligence & image processing, Computer vision, Artificial intelligence, Focus (optics), Set (psychology), business, Gaussian process, Complement (set theory)

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::7f83221b336e2add6cb944576190a662
    https://doi.org/10.1109/tits.2016.2526050

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  8. 8
    A Cross-Season Correspondence Dataset for Robust Semantic Segmentation

    المؤلفون: Fredrik Kahl, Lars Hammarstrand, Måns Larsson, Marc Pollefeys, Torsten Sattler, Erik Stenborg

    المصدر: CVPR

    مصطلحات موضوعية: FOS: Computer and information sciences, 050210 logistics & transportation, Matching (statistics), Point (typography), Computer science, business.industry, Computer Vision and Pattern Recognition (cs.CV), Deep learning, 05 social sciences, Computer Science - Computer Vision and Pattern Recognition, Pattern recognition, 02 engineering and technology, 68T45, Convolutional neural network, Image (mathematics), Consistency (database systems), 0502 economics and business, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Segmentation, Artificial intelligence, business

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ddbb875c5e5ef568fbf4b514a5664817
    https://doi.org/10.1109/cvpr.2019.00976

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  9. 9
    Radar Communications for Combating Mutual Interference of FMCW Radars

    المؤلفون: Lars Hammarstrand, Canan Aydogdu, Henk Wymeersch, Nil Garcia

    المصدر: 2019 IEEE Radar Conference (RadarConf).

    مصطلحات موضوعية: SIMPLE (military communications protocol), Computer science, Orthogonal frequency-division multiplexing, 010401 analytical chemistry, ComputerApplications_COMPUTERSINOTHERSYSTEMS, 020206 networking & telecommunications, 02 engineering and technology, Interference (wave propagation), 01 natural sciences, 0104 chemical sciences, law.invention, Frequency-division multiplexing, Interference (communication), law, 0202 electrical engineering, electronic engineering, information engineering, Electronic engineering, Chirp, Continuous wave, Radar

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::dcd1471be0edd44ba3b1b7bfef843dc0
    https://doi.org/10.1109/radar.2019.8835744

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  10. 10
    Variational Bayesian Expectation Maximization for Radar Map Estimation

    المؤلفون: Lars Hammarstrand, Malin Lundgren, Lennart Svensson

    المصدر: IEEE Transactions on Signal Processing. 64:1391-1404

    مصطلحات موضوعية: 0209 industrial biotechnology, Mathematical optimization, Estimation theory, Iterative method, Computer science, Gaussian, Bayesian probability, 020206 networking & telecommunications, 02 engineering and technology, Simultaneous localization and mapping, law.invention, symbols.namesake, 020901 industrial engineering & automation, law, Signal Processing, Expectation–maximization algorithm, 0202 electrical engineering, electronic engineering, information engineering, symbols, Clutter, Electrical and Electronic Engineering, Radar, Algorithm

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::eac21ddcd449b8f30e09fd349f034e9d
    https://doi.org/10.1109/tsp.2015.2496287

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