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1 Ergebnisse
1
TrafficGen: Learning to Generate Diverse and Realistic Traf..:
, In:
2023 IEEE International Conference on Robotics and Automation (ICRA)
,
Feng, Lan
;
Li, Quanyi
;
Peng, Zhenghao
.. - p. 3567-3575 , 2023
Link:
https://doi.org/10.1109/ICRA48891.2023.10160296
RT T1 <cTitle>2023 IEEE International Conference on Robotics and Automation (ICRA)</cTitle>: T1 <Title>TrafficGen: Learning to Generate Diverse and Realistic Traffic Scenarios</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10160296&Exemplar=1&LAN=DE A1 Feng, Lan A1 Li, Quanyi A1 Peng, Zhenghao A1 Tan, Shuhan A1 Zhou, Bolei YR 2023 K1 Training K1 Automation K1 Reinforcement learning K1 Data models K1 Trajectory K1 Safety K1 Noise measurement SP 3567 OP 3575 LK http://dx.doi.org/https://doi.org/10.1109/ICRA48891.2023.10160296 DO https://doi.org/10.1109/ICRA48891.2023.10160296 SF ELIB - SuUB Bremen
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