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Robustly Predicting Pedestrian Destinations Using Pre-train..:
, In:
IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society
,
Ohta, Asami
;
Okano, Satoshi
;
Matsuhira, Nobuto
. - p. 6922-6927 , 2019
Link:
https://doi.org/10.1109/IECON.2019.8927554
RT T1 <cTitle>IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society</cTitle>: T1 <Title>Robustly Predicting Pedestrian Destinations Using Pre-trained Machine Learning Model for a Voice Guidance Robot*</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-8927554&Exemplar=1&LAN=DE A1 Ohta, Asami A1 Okano, Satoshi A1 Matsuhira, Nobuto A1 Kato, Yuka YR 2019 SN 2577-1647 K1 Predictive models K1 Trajectory K1 Data models K1 Data mining K1 Robot sensing systems K1 Robot kinematics K1 service robot K1 pedestrian model K1 pre-trained predictor K1 dataset K1 machine learning SP 6922 OP 6927 LK http://dx.doi.org/https://doi.org/10.1109/IECON.2019.8927554 DO https://doi.org/10.1109/IECON.2019.8927554 SF ELIB - SuUB Bremen
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