Zobrazeno 1 - 10
of 53
pro vyhledávání: '"Bashar I Ahmad"'
Publikováno v:
IET Radar, Sonar & Navigation, Vol 18, Iss 1, Pp 137-146 (2024)
Abstract In this article, a simple, yet effective, Bayesian scheme for tracks maintenance, promotion, and deletion in drone surveillance radar is presented. It enables the simultaneous tracking of the target body and micro‐Doppler components that o
Externí odkaz:
https://doaj.org/article/990ee59a34714db0adbe730199042f90
Publikováno v:
Data-Centric Engineering, Vol 1 (2020)
In various scenarios, the motion of a tracked object, for example, a pointing apparatus, pedestrian, animal, vehicle, and others, is driven by achieving a premeditated goal such as reaching a destination. This is albeit the various possible trajector
Externí odkaz:
https://doaj.org/article/147980018b454bb6bfd2c4cadb5cad99
Publikováno v:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cdd143f4e9dd2a46e4fbad9ba70a2a53
https://doi.org/10.1109/icassp49357.2023.10095337
https://doi.org/10.1109/icassp49357.2023.10095337
Publikováno v:
2022 19th European Radar Conference (EuRAD).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc0265df2dbff5db2b3c41339ad5d590
https://doi.org/10.23919/eurad54643.2022.9924966
https://doi.org/10.23919/eurad54643.2022.9924966
Autor:
Holly Dale, Mohammed Jahangir, Christopher J Baker, Michail Antoniou, Stephen Harman, Bashar I Ahmad
Publikováno v:
2022 IEEE Radar Conference (RadarConf22).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ab15dc40f445d85adbf2c1dd96e3617e
https://doi.org/10.1109/radarconf2248738.2022.9764172
https://doi.org/10.1109/radarconf2248738.2022.9764172
Publikováno v:
2021 Sensor Signal Processing for Defence Conference (SSPD).
In this paper, a Bayesian approach is proposed for the early detection of a drone threatening or anomalous behaviour in a surveyed region. This is in relation to revealing, as early as possible, the drone intent to either leave a geographical area wh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cfbdb4e50b26d56b8cca89c43da299cb
https://doi.org/10.1109/sspd51364.2021.9541485
https://doi.org/10.1109/sspd51364.2021.9541485
Autor:
Bashar I. Ahmad, Stephen Harman
Publikováno v:
2021 21st International Radar Symposium (IRS).
This paper focuses on the need for good target recognition in order to provide effective tracking and on good tracking to provide effective recognition in the application of radar to drone surveillance. The joint function, merging drone tracking and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c93ffe3657c9eb625baae71b6752a786
https://doi.org/10.23919/irs51887.2021.9466222
https://doi.org/10.23919/irs51887.2021.9466222
Autor:
Patrick Langdon, Jiaming Liang, Simon J. Godsill, Mauricio Munoz Delgado, Bashar I. Ahmad, Thomas Popham
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 20:1278-1288
The objective of this paper is twofold. First, it presents a brief overview of existing driver and passenger identification or recognition approaches, which rely on smartphone data. This includes listing the typically available sensory measurements a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0e0ce3177a0ff8b62e4a553b0983b9db
https://doi.org/10.1109/tits.2018.2845113
https://doi.org/10.1109/tits.2018.2845113
In this article, we present a Bayesian framework for maneuvering object tracking and intent prediction using novel $\alpha$ -stable Levy state-space models, expressed in continuous time as Levy processes. In contrast to conventional (fully) Gaussian
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4b7518b866769ade19db887bb499dbf8
Publikováno v:
2020 17th European Radar Conference (EuRAD).
In this paper, several performance metrics are proposed for staring radar to provide figures of merit that effectively capture the overall capability of a non-cooperative drone surveillance system. Such figures of merit can offer more meaningful syst
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e621e3ef8cf6adeaacc772498d99c6f2
https://doi.org/10.1109/eurad48048.2021.00104
https://doi.org/10.1109/eurad48048.2021.00104