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A vision-based indoor positioning systems utilizing compute..:
, In:
Proceedings of the 28th Annual International Conference on Mobile Computing And Networking
,
Yoo, Dae-ha
;
Shan, Gaoyang
;
Roh, Byeong-hee
- p. 880-882 , 2022
Link:
https://dl.acm.org/doi/10.1145/3495243.3558270
RT T1 <cTitle>Proceedings of the 28th Annual International Conference on Mobile Computing And Networking</cTitle>: T1 <Title>A vision-based indoor positioning systems utilizing computer aided design drawing</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3558270&Exemplar=1&LAN=DE A1 Yoo, Dae-ha A1 Shan, Gaoyang A1 Roh, Byeong-hee PB ACM YR 2022 K1 artificial intelligence K1 indoor positioning system K1 vision and scene understanding K1 Computing methodologies K1 Artificial intelligence K1 Computer vision K1 Machine learning K1 Learning paradigms K1 Supervised learning K1 Supervised learning by regression K1 Computer vision tasks K1 Scene understanding SP 880 OP 882 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3495243.3558270 DO https://dl.acm.org/doi/10.1145/3495243.3558270 SF ELIB - SuUB Bremen
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