The invention relates to a collision safety control system based on deep learning and an operation method thereof. The crash safety control system includes a memory storing a crash safety model having deep learning-based crash safety control logic. The crash safety control system also includes a processor electrically connected to the memory. The processor is configured to train a crash safety model based on at least one signal including pre-crash data and post-crash data according to the crash safety control logic such that the crash safety model outputs a crash type corresponding to the at least one signal and a requested start-up time (RTTF) of passenger protection equipment.
本公开涉及一种基于深度学习的碰撞安全控制系统及其操作方法。碰撞安全控制系统包括存储碰撞安全模型的存储器,该碰撞安全模型具有基于深度学习的碰撞安全控制逻辑。碰撞安全控制系统还包括电连接到存储器的处理器。处理器被配置为根据碰撞安全控制逻辑,基于包括碰撞前数据和碰撞后数据的至少一个信号来训练碰撞安全模型,使得碰撞安全模型输出与该至少一个信号相对应的碰撞类型以及乘客保护装备的要求启动时间(RTTF)。
Collision safety control system based on deep learning and operation method thereof
基于深度学习的碰撞安全控制系统及其操作方法
2024-04-09
Patent
Electronic Resource
Chinese
IPC: | B60R Fahrzeuge, Fahrzeugausstattung oder Fahrzeugteile, soweit nicht anderweitig vorgesehen , VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR |
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