Zobrazeno 1 - 10
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pro vyhledávání: '"Muhovič, Jon"'
Object counting and localization problems are commonly addressed with point supervised learning, which allows the use of less labor-intensive point annotations. However, learning based on point annotations poses challenges due to the high imbalance b
Externí odkaz:
http://arxiv.org/abs/2408.14457
Object grasping is a fundamental challenge in robotics and computer vision, critical for advancing robotic manipulation capabilities. Deformable objects, like fabrics and cloths, pose additional challenges due to their non-rigid nature. In this work,
Externí odkaz:
http://arxiv.org/abs/2408.14456
Small-sized unmanned surface vehicles (USV) are coastal water devices with a broad range of applications such as environmental control and surveillance. A crucial capability for autonomous operation is obstacle detection for timely reaction and colli
Externí odkaz:
http://arxiv.org/abs/2105.02359
Autor:
Muhovič, Jon, Perš, Janez
We address the problem of optical decalibration in mobile stereo camera setups, especially in context of autonomous vehicles. In real world conditions, an optical system is subject to various sources of anticipated and unanticipated mechanical stress
Externí odkaz:
http://arxiv.org/abs/2001.05267
Autor:
Muhovič, Jon1 (AUTHOR) jon.muhovic@fe.uni-lj.si, Perš, Janez1 (AUTHOR)
Publikováno v:
Sensors (14248220). Jun2023, Vol. 23 Issue 12, p5676. 22p.
Akademický článek
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Autor:
Muhovič, Jon Natanael
Zaradi vedno večje dostopnosti in kvalitete manjših letečih robotov za zasebno uporabo smo želeli nadgraditi njihovo funkcionalnost s sposobnostjo samodejnega sledenja želenemu objektu. To lahko naredimo z uporabo sledilnih algoritmov, ki deluje
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3505::4fa45ca24fb70059ce39007aed90efb9
https://hdl.handle.net/20.500.12556/RUL-91373
https://hdl.handle.net/20.500.12556/RUL-91373
Autor:
Muhovič, Jon Natanael
Because of increasing accessibility and quality of small aerial robots for personal use we wanted to upgrade their functionality with the ability to autonomously follow objects. This can be achieved by using tracking algorithms that work with visual
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______333::91fa01a52110ebfb2adebc1c6e80f9c2
http://eprints.fri.uni-lj.si/3826/
http://eprints.fri.uni-lj.si/3826/
Autor:
Muhovič, Jon Natanael
Sledenje objektov je zelo raznoliko in uporabno področje računalniškega vida. Pristopov k reševanju tega problema je ogromno, namen tega dela pa je predstaviti nekaj metod, ki se uporabljajo za implementacijo naprednih sledilnih algoritmov, anali
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::ad4d4bf51372d594812adb63361c15d2
https://hdl.handle.net/20.500.12556/RUL-68883
https://hdl.handle.net/20.500.12556/RUL-68883
Autor:
Muhovič, Jon Natanael
Visual object tracking is a very diverse and useful area of computer vision. There are many different approaches to solving this problem and the goal of the thesis is to first present some of the methods that are used for implementation of state-of-t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______333::f30c077a33260e58f4eca404bc2c958f
http://eprints.fri.uni-lj.si/2702/
http://eprints.fri.uni-lj.si/2702/