Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Aybars Tokta"'
Autor:
Aybars Tokta, Ali Koksal Hocaoglu
Publikováno v:
IEEE Access, Vol 11, Pp 62758-62770 (2023)
The susceptibility of GNSS signals has led to the development of advanced aiding systems in which information obtained from external sensors is fused with the inertial navigation solution to maintain navigation continuity in GNSS-denied environments.
Externí odkaz:
https://doaj.org/article/60db82fa061249d0bf49884e5c15a934
Autor:
Aybars Tokta, Ali Koksal Hocaoglu
Publikováno v:
IEEE Signal Processing Letters. 26:1426-1430
In this letter, we propose a heuristic method to address sensor bias estimation to improve track-to-track association accuracy. A novel multi-parameter cost function is derived from rigid transformation function and it is minimized by the covariance
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::93439480be7ddf451f96d83dfe39aed7
https://doi.org/10.1109/lsp.2019.2934596
https://doi.org/10.1109/lsp.2019.2934596
Autor:
Aybars Tokta, Ali Koksal Hocaoglu
Publikováno v:
2018 International Conference on Artificial Intelligence and Data Processing (IDAP).
In multi-sensor systems, track association plays a critical role to ensure an accurate multi-target tracking. In this study, we propose a novel statistical method based on temporal state correlation similarity. In this method, a hybrid distance metri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9fa7ba8c9a8e44f573e9f53542bab6b0
https://doi.org/10.1109/idap.2018.8620796
https://doi.org/10.1109/idap.2018.8620796
Autor:
Aybars Tokta, Ali Koksal Hocaoglu
Publikováno v:
2018 International Conference on Artificial Intelligence and Data Processing (IDAP).
This paper presents a fast people counting algorithm based on the classification of optical flow features. Conventional counting methods often use spatial features which are sensitive to background and illumination. Besides, in order to determine whe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::398ccf928ebbb0ac59f435c5932f5fa6
https://doi.org/10.1109/idap.2018.8620838
https://doi.org/10.1109/idap.2018.8620838
Autor:
Aybars Tokta, Ali Koksal Hocaoglu
Publikováno v:
FUSION
Track association and fusion posses great importance in distributed sensor systems. In this study, we propose a novel statistical method based on temporal covariance estimation of local sensor tracks in a time interval and an association cost based o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dad935ba5caa3257ff185c656b521218
https://doi.org/10.23919/icif.2018.8455631
https://doi.org/10.23919/icif.2018.8455631
Publikováno v:
SIU
In this paper, an evolutionary search approach is proposed for the bearing only target motion analysis problem. A problem spesific modification for the Big Bang-Big Crunch optimization algorithm, namely, Fitness Adaptive Big Bang-Big Crunch optimizat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a10f2262d1510b05b46dfd0cc7840fcd
https://aperta.ulakbim.gov.tr/record/98245
https://aperta.ulakbim.gov.tr/record/98245
Autor:
A. Koksal Hocaoglu, Aybars Tokta
Publikováno v:
SIU
Public safety has became an important issue in recent years. Developing smart systems to detect abnormal crowd behavior is crucial to intervene the situation as soon as possible. In this work, we propose a novel algorithm based on Coarse to Fine Opti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c3ece670c2e612f222a99d6f5b972ed
https://doi.org/10.1109/siu.2016.7495835
https://doi.org/10.1109/siu.2016.7495835