Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Vladan Stojnic"'
Publikováno v:
IEEE Access, Vol 8, Pp 189855-189868 (2020)
Recent trends in the development of autonomous vehicles focus on real-time processing of vast amounts of data from various sensors. The data can be acquired using multiple cameras, lidars, ultrasonic sensors, and radars to collect useful information
Externí odkaz:
https://doaj.org/article/eee94a41723740e0a3dc82c7020a0732
Publikováno v:
IEEE Access, Vol 8, Pp 189855-189868 (2020)
Recent trends in the development of autonomous vehicles focus on real-time processing of vast amounts of data from various sensors. The data can be acquired using multiple cameras, lidars, ultrasonic sensors, and radars to collect useful information
Autor:
Vladimir Risojevic, Nikola Kezić, Slavica Gajic, Vladan Stojnic, Graham A. Turnbull, Janja Filipi, Vedran Jovanovic, Ross N. Gillanders, Zdenka Babic, Mario Mustra
This research was funded in part by NATO Science for Peace and Security (SPS) Programme, project number SPS 985355, “Biological Method (Bees) for Explosive Detection”. Legacy landmines in post-conflict areas are a non-discriminatory lethal hazard
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e58b232633571f87492a2a1833cd0bbb
https://hdl.handle.net/10023/23955
https://hdl.handle.net/10023/23955
Autor:
Vladimir Risojevic, Nikola Kezić, Mario Mustra, Zdenka Babic, Janja Filipi, Vladan Stojnic, Vedran Jovanovic
Publikováno v:
Remote Sensing; Volume 13; Issue 4; Pages: 653
Remote Sensing, Vol 13, Iss 653, p 653 (2021)
Remote Sensing, Vol 13, Iss 653, p 653 (2021)
Detection of small moving objects is an important research area with applications including monitoring of flying insects, studying their foraging behavior, using insect pollinators to monitor flowering and pollination of crops, surveillance of honeyb
Autor:
Vladimir Risojevic, Vladan Stojnic
Publikováno v:
CVPR Workshops
In recent years self-supervised learning has emerged as a promising candidate for unsupervised representation learning. In the visual domain its applications are mostly studied in the context of images of natural scenes. However, its applicability is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ff57fc7f1239af1c0107c552be13e647
Publikováno v:
2020 19th International Symposium INFOTEH-JAHORINA (INFOTEH).
Although there are plenty of commercial systems dedicated to measuring environmental parameters, because of need for specific parameters of interest (temperature, relative humidity, atmospheric pressure, ultraviolet light level, infrared light level
Autor:
Vladimir Risojevic, Ross N. Gillanders, Vladan Stojnic, Slavica Gajic, Aleksej Avramovic, Vedran Jovanovic, Graham A. Turnbull, Mario Mustra, James M. E. Glackin, Mitar Simić, Nikola Kezić, Zdenka Babic, Janja Filipi
Publikováno v:
IFMBE Proceedings ISBN: 9783030179700
Free-flying honeybees can electrostatically collect particles from air in the flying and foraging areas, which in conjunction with organic-based explosive vapor sensing films, placed at the entrance to the beehive, can be used as a passive explosive
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8e914e7bdb71646235559c9195f43859
https://doi.org/10.1007/978-3-030-17971-7_29
https://doi.org/10.1007/978-3-030-17971-7_29
Autor:
Vladimir Risojevic, Vladan Stojnic
Publikováno v:
2018 14th Symposium on Neural Networks and Applications (NEUREL).
This paper investigates the importance of different parameters of split-brain autoencoder to performance of learned image representations for remote sensing scene classification. We investigate the usage of LAB color space as well as color space crea
Autor:
Vedran Jovanovic, Aleksej Avramovic, Janja Filipi, Vladimir Risojevic, Ratko Pilipovic, Zdenka Babic, Vladan Stojnic, Mitar Simić, Igor Sevo, Mario Mustra, Slavica Gajic
Publikováno v:
2018 14th Symposium on Neural Networks and Applications (NEUREL).
Studying the behavior of social insect using computer vision algorithms is an interesting topic for both biological and signal processing communities. One of the most interesting aspects in the field is tracking of honeybees. Regarding computer visio
Autor:
Vladan Stojnic, Vladimir Risojevic
Publikováno v:
2018 International Symposium ELMAR.
Self-supervised methods are interesting for remote sensing because there are not many human labeled datasets available, but there is practically unlimited amount of data that can be used for self-supervised learning. In this paper we analyze the use