Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Augustin A. Saucan"'
Publikováno v:
ICC 2022 - IEEE International Conference on Communications.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9673d0cd3aa0cb2e056fb1c09b891c98
https://doi.org/10.1109/icc45855.2022.9839158
https://doi.org/10.1109/icc45855.2022.9839158
Autor:
Moe Z. Win, Augustin A. Saucan
Publikováno v:
IEEE Internet of Things Journal. 7:10072-10088
We propose a general sensor selection (SS) methodology for ocean-of-things (OoT) where a sensing network performs multiobject tracking (MOT) under resource constraints. SS methods address the combinatorial problem of determining the best subset of se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f20de4c1e63524ea023bac1f1e83e9a6
https://doi.org/10.1109/jiot.2020.2992509
https://doi.org/10.1109/jiot.2020.2992509
Publikováno v:
MILCOM 2021 - 2021 IEEE Military Communications Conference (MILCOM).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::60039e3e99b35e0db02f3e4bb376f363
https://doi.org/10.1109/milcom52596.2021.9652984
https://doi.org/10.1109/milcom52596.2021.9652984
Autor:
Augustin-Alexandru Saucan, Moe Z. Win
Publikováno v:
ICC
In this work, we propose a Labeled Multi-Bernoulli (LMB) filter for multi-object tracking with a merged measurement model. The finite resolution capabilities of practical sensing systems can lead to scenarios where multiple objects interact and gener
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ebc07e02c929dc921fd7a293bde4792
https://doi.org/10.1109/icc40277.2020.9148688
https://doi.org/10.1109/icc40277.2020.9148688
Scalable and decentralized algorithms for Cooperative Self-localization (CS) of agents, and Multi-Target Tracking (MTT) are important in many applications. In this work, we address the problem of Simultaneous Cooperative Self-localization and Multi-T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::02ae79889cad2810ce86e4e962362945
http://arxiv.org/abs/2004.07378
http://arxiv.org/abs/2004.07378
Publikováno v:
IEEE Communications Magazine. 59:14-14
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e730b4e8a6f1a039b27feb7b1a695e87
https://doi.org/10.1109/mcom.2021.9665422
https://doi.org/10.1109/mcom.2021.9665422
Publikováno v:
IEEE Transactions on Signal Processing. 65:5495-5509
In this paper we derive a multi-sensor multi-Bernoulli (MS-MeMBer) filter for multi-target tracking. Measurements from multiple sensors are employed by the proposed filter to update a set of tracks modeled as a multi-Bernoulli random finite set. An e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::401bf7cccc6a35748488085f4210cf7f
https://doi.org/10.1109/tsp.2017.2723348
https://doi.org/10.1109/tsp.2017.2723348
Publikováno v:
2019 22th International Conference on Information Fusion (FUSION).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d908c97067cedf87818e75d282afc9ca
https://doi.org/10.23919/fusion43075.2019.9011400
https://doi.org/10.23919/fusion43075.2019.9011400
Publikováno v:
ACSSC
We propose a scalable algorithm for cooperative self-localization and multi-target tracking. Mobile agents localize themselves, and track an unknown number of targets in the presence of data-association uncertainty. We accomplish this task by modelin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e5be9e66358ed5aa5422c30c59534fd8
https://doi.org/10.1109/acssc.2018.8645547
https://doi.org/10.1109/acssc.2018.8645547
Publikováno v:
FUSION
This paper proposes an energy-efficient counting rule for distributed detection by ordering sensor transmissions in wireless sensor networks. In the counting rule-based detection in an $N-$sensor network, the local sensors transmit binary decisions t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::940356cdb1bf36bc7c00dbd02cec5159
http://arxiv.org/abs/1809.03653
http://arxiv.org/abs/1809.03653