DEEP LEARNING-BASED COLLISION SAFETY CONTROL SYSTEM AND AN OPERATION METHOD THEREOF

A collision safety control system includes a memory storing a collision safety model having a deep learning-based collision safety control logic. The collision safety control system also includes a processor electrically connected to the memory. The processor is configured to, in accordance with the...

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Bibliographische Detailangaben
Hauptverfasser:	Park, Hyung Wook, Lee, Dong Hyeok, Yoon, Sung Roh
Format:	Patent
Sprache:	eng
Schlagworte:	CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE ORDIFFERENT FUNCTION CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES PERFORMING OPERATIONS ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TOTHE CONTROL OF A PARTICULAR SUB-UNIT TRANSPORTING VEHICLES IN GENERAL
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Beschreibung
Zusammenfassung:	A collision safety control system includes a memory storing a collision safety model having a deep learning-based collision safety control logic. The collision safety control system also includes a processor electrically connected to the memory. The processor is configured to, in accordance with the collision safety control logic, train, based on at least one signal including pre-collision data and post-collision data, the collision safety model such that the collision safety model outputs a collision type and a required time-to-fire (RTTF) of passenger protection equipment corresponding to the at least one signal.