US 12,441,341 B2
Method and system for checking an automated driving function by reinforcement learning
Andrea Favrin, Loria (IT); and Vladislav Nenchev, Munich (DE)
Assigned to Bayerische Motoren Werke Aktiengesellschaft, Munich (DE)
Appl. No. 17/775,097
Filed by Bayerische Motoren Werke Aktiengesellschaft, Munich (DE)
PCT Filed Nov. 3, 2020, PCT No. PCT/EP2020/080740
§ 371(c)(1), (2) Date May 6, 2022,
PCT Pub. No. WO2021/089499, PCT Pub. Date May 14, 2021.
Claims priority of application No. 10 2019 130 040.1 (DE), filed on Nov. 7, 2019.
Prior Publication US 2022/0396280 A1, Dec. 15, 2022
Int. Cl. G01C 22/00 (2006.01); B60W 50/06 (2006.01); B60W 50/00 (2006.01); B60W 60/00 (2020.01)
CPC B60W 50/06 (2013.01) [B60W 2050/0028 (2013.01); B60W 60/001 (2020.02)] 8 Claims
OG exemplary drawing
 
1. A method for checking an automated driving function by reinforcement learning, the method comprising:
providing at least one specification of an automated driving function;
generating, by reinforcement learning, a scenario, the scenario being indicated by a first parameter set; and
ascertaining, by reinforcement learning, a reward function such that a reward is higher in a case in which the scenario does not meet the at least one specification in a simulation than in a case in which the scenario meets the at least one specification in the simulation.