يعرض 1 - 10 نتائج من 10 نتيجة بحث عن '"Gusland, Daniel"', وقت الاستعلام: 0.81s تنقيح النتائج
  1. 1
    مؤتمر
    Track-Oriented Self-Supervised Learning for Micro-Doppler Target Classification

    المؤلفون: Rolfsjord, Sigmund, Gusland, Daniel, Ahlberg, Jorgen

    المصدر: 2024 IEEE Radar Conference (RadarConf24) Radar Conference (RadarConf24), 2024 IEEE. :1-6 May, 2024

    Relation: 2024 IEEE Radar Conference (RadarConf24)

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  2. 2
    مؤتمر
    Improving Micro-Doppler Target Classification by Fusing Spectrograms and Additional Target Features

    المؤلفون: Gusland, Daniel, Rolfsjord, Sigmund, Ahlberg, Jorgen

    المصدر: 2024 IEEE Radar Conference (RadarConf24) Radar Conference (RadarConf24), 2024 IEEE. :1-6 May, 2024

    Relation: 2024 IEEE Radar Conference (RadarConf24)

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  3. 3
    BASE: Probably a Better Approach to Visual Multi-Object Tracking

    المؤلفون: Larsen, Martin, Rolfsfjord, Sigmund, Gusland, Daniel, Ahlberg, Jörgen, 1971, Mathiassen, Kim

    المصدر: Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, Rome, Italy, 2024 VISIGRAPP. :110-121

    مصطلحات موضوعية: Visual Multi-Object Tracking, Probabilistic Tracking, Distance-Aware, Association-Less Track Management

    وصف الملف: print

    URL الوصول: https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-201409
    https://doi.org/10.5220/0012386600003660

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  4. 4
    تقرير
    BASE: Probably a Better Approach to Multi-Object Tracking

    المؤلفون: Larsen, Martin Vonheim, Rolfsjord, Sigmund, Gusland, Daniel, Ahlberg, Jörgen, Mathiassen, Kim

    مصطلحات موضوعية: Computer Science - Computer Vision and Pattern Recognition

    URL الوصول: http://arxiv.org/abs/2309.12035

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  5. 5
    مؤتمر
    Open Radar Initiative: Large Scale Dataset for Benchmarking of micro-Doppler Recognition Algorithms

    المؤلفون: Gusland, Daniel, Christiansen, Jonas M., Torvik, Borge, Fioranelli, Francesco, Gurbuz, Sevgi Z., Ritchie, Matthew

    المصدر: 2021 IEEE Radar Conference (RadarConf21) Radar Conference (RadarConf21), 2021 IEEE. :1-6 May, 2021

    Relation: 2021 IEEE Radar Conference (RadarConf21)

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  6. 6
    مؤتمر
    Radar Measurements for the Assessment of Features for Drone Characterization

    المؤلفون: De Wit, Jacco J.M., Gusland, Daniel, Trommel, Roeland P.

    المصدر: 2020 17th European Radar Conference (EuRAD) Radar Conference (EuRAD), 2020 17th. :38-41 Jan, 2021

    Relation: 2020 17th European Radar Conference (EuRAD)

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  7. 7
    مؤتمر
    Deep temporal detection - A machine learning approach to multiple-dwell target detection

    المؤلفون: Gusland, Daniel, Rolfsjord, Sigmund, Torvik, Borge

    المصدر: 2020 IEEE International Radar Conference (RADAR) Radar Conference (RADAR), 2020 IEEE International. :203-207 Apr, 2020

    Relation: 2020 IEEE International Radar Conference (RADAR)

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  8. 8
    مؤتمر
    Imaging radar for navigation and surveillance on an autonomous unmanned ground vehicle capable of detecting obstacles obscured by vegetation

    المؤلفون: Gusland, Daniel, Torvik, Borge, Finden, Erlend, Gulbrandsen, Fredrik, Smestad, Ragnar

    المصدر: 2019 IEEE Radar Conference (RadarConf) Radar Conference (RadarConf), 2019 IEEE. :1-6 Apr, 2019

    Relation: 2019 IEEE Radar Conference (RadarConf19)

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  9. 9
    دورية أكاديمية
    BASE: Probably a Better Approach to Visual Multi-Object Tracking

    المؤلفون: Larsen, Martin Vonheim, Rolfsjord, Sigmund Johannes Ljosvoll, Gusland, Daniel, Ahlberg, Jörgen, Mathiassen, Kim

    المصدر: Larsen, Martin Vonheim Rolfsjord, Sigmund Johannes Ljosvoll Gusland, Daniel Ahlberg, Jörgen Mathiassen, Kim . BASE: Probably a Better Approach to Visual Multi-Object Tracking. VISIGRAPP. 2024, 4, 110-121
    VISIGRAPP

    الإتاحة: http://hdl.handle.net/10852/110397

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  10. 10
    تقرير
    Development of an imaging radar capable of detecting hidden obstacles for terrain mapping on an autonomous off-road vehicle.

    المؤلفون: Gusland, Daniel Rahm

    المصدر: Gusland, Daniel Rahm. Development of an imaging radar capable of detecting hidden obstacles for terrain mapping on an autonomous off-road vehicle.. Master thesis, University of Oslo, 2018

    الإتاحة: http://hdl.handle.net/10852/65710
    https://www.duo.uio.no/bitstream/handle/10852/65710/5/master_thesis_final_daniel_gusland.pdf

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