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Pedestrian Intent Prediction by Dense Graph Transformer:

, In: 2022 IEEE International Conference on Consumer Electronics - Taiwan,

Chen, Oscal Tzyh-Chiang ; Liu, Han-Wen ; Chang, Yu-Lung. - p. 585-586 , 2022

Link: https://doi.org/10.1109/ICCE-Taiwan55306.2022.9868998

Pedestrian Intent Prediction by Dense Graph Transformer:

, In: 2022 IEEE International Conference on Consumer Electronics - Taiwan,

Chen, Oscal Tzyh-Chiang ; Liu, Han-Wen ; Chang, Yu-Lung. - p. 585-586 , 2022

Link: https://doi.org/10.1109/ICCE-Taiwan55306.2022.9868998

RT 
T1 <cTitle>2022 IEEE International Conference on Consumer Electronics - Taiwan</cTitle>: T1 <Title>Pedestrian Intent Prediction by Dense Graph Transformer</Title>

UL https://suche.suub.uni-bremen.de/peid=ieee-9868998&Exemplar=1&LAN=DE
				
A1 Chen, Oscal Tzyh-Chiang
A1 Liu, Han-Wen
A1 Chang, Yu-Lung
A1 Jhao, Yu-Wei
YR 2022
SN 2575-8284
K1 Deep learning
K1 Three-dimensional displays
K1 Convolution
K1 Databases
K1 Roads
K1 Neural networks
K1 Streaming media
K1 pedestrian intent prediction
K1 graph convolution network
K1 self-attention mechanism
K1 transformer
K1 dense residual connection
SP 585
OP 586
LK http://dx.doi.org/https://doi.org/10.1109/ICCE-Taiwan55306.2022.9868998
DO https://doi.org/10.1109/ICCE-Taiwan55306.2022.9868998
SF ELIB - SuUB Bremen

RT 
T1 <cTitle>2022 IEEE International Conference on Consumer Electronics - Taiwan</cTitle>: T1 <Title>Pedestrian Intent Prediction by Dense Graph Transformer</Title>

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