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1 Ergebnisse
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X-MAS: Extremely Large-Scale Multi-Modal Sensor Dataset for..:
Noh, DongKi
;
Sung, Changki
;
Uhm, Teayoung
...
IEEE Robotics and Automation Letters. 8 (2023) 2 - p. 1093-1100 , 2023
Link:
https://doi.org/10.1109/lra.2023.3236569
RT Journal T1 <Title>X-MAS: Extremely Large-Scale Multi-Modal Sensor Dataset for Outdoor Surveillance in Real Environments</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1109_lra.2023.3236569&Exemplar=1&LAN=DE A1 Noh, DongKi A1 Sung, Changki A1 Uhm, Teayoung A1 Lee, WooJu A1 Lim, Hyungtae A1 Choi, Jaeseok A1 Lee, Kyuewang A1 Hong, Dasol A1 Um, Daeho A1 Chung, Inseop A1 Shin, Hochul A1 Kim, MinJung A1 Kim, Hyoung-Rock A1 Baek, SeungMin A1 Myung, Hyun PB Institute of Electrical and Electronics Engineers (IEEE) YR 2023 SN 2377-3766 SN 2377-3774 JF IEEE Robotics and Automation Letters VO 8 IS 2 SP 1093 OP 1100 LK http://dx.doi.org/https://doi.org/10.1109/lra.2023.3236569 DO https://doi.org/10.1109/lra.2023.3236569 SF ELIB - SuUB Bremen
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