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1 Ergebnisse
1
ECSAS: Exploring Critical Scenarios from Action Sequence in..:
, In:
2023 IEEE 32nd Asian Test Symposium (ATS)
,
Kang, Shuting
;
Guo, Heng
;
Su, Peng
... - p. 1-6 , 2023
Link:
https://doi.org/10.1109/ATS59501.2023.10317968
RT T1
2023 IEEE 32nd Asian Test Symposium (ATS)
: T1
ECSAS: Exploring Critical Scenarios from Action Sequence in Autonomous Driving
UL https://suche.suub.uni-bremen.de/peid=ieee-10317968&Exemplar=1&LAN=DE A1 Kang, Shuting A1 Guo, Heng A1 Su, Peng A1 Zhang, Lijun A1 Liu, Guangzhen A1 Xue, Yunzhi A1 Wu, Yanjun YR 2023 SN 2377-5386 K1 Correlation K1 Reinforcement learning K1 Safety K1 Autonomous vehicles K1 Optimization K1 Critical scenario generation K1 Rein-forcement learning K1 Scenario description language and Autonomous driving SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/ATS59501.2023.10317968 DO https://doi.org/10.1109/ATS59501.2023.10317968 SF ELIB - SuUB Bremen
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