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Universal image segmentation framework on high-resolution a..:

, In: International Conference on Radar Systems (RADAR 2022),

Xiao, Y. ; Cassidy, S. ; Daniel, L.... - p. None , 2022

Link: https://doi.org/10.1049/icp.2022.2320

RT 
T1 <cTitle>International Conference on Radar Systems (RADAR 2022)</cTitle>: T1 <Title>Universal image segmentation framework on high-resolution automotive radar map</Title>

UL https://suche.suub.uni-bremen.de/peid=ieee-10038871&Exemplar=1&LAN=DE
				
A1 Xiao, Y.
A1 Cassidy, S.
A1 Daniel, L.
A1 Pooni, S.
A1 Cherniakov, M.
A1 Gashinova, M.
YR 2022
K1 array signal processing
K1 Doppler radar
K1 feature extraction
K1 image segmentation
K1 radar imaging
K1 radar resolution
K1 road vehicle radar
K1 beamforming strategy
K1 different beamforming strategies
K1 framework transfer implementation
K1 high-resolution automotive radar imagery
K1 high-resolution automotive radar map
K1 high-resolution radar imagery
K1 mechanical steer beamforming
K1 radar community
K1 radar data
K1 resolution difference
K1 universal image segmentation framework
K1 universal segmentation framework
SP None
LK http://dx.doi.org/https://doi.org/10.1049/icp.2022.2320
DO https://doi.org/10.1049/icp.2022.2320
SF ELIB - SuUB Bremen

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