본 문서의 다양한 실시예들은 딥러닝 기반의 충돌안전 제어 시스템 및 그의 동작 방법에 관한 것으로, 충돌안전 제어 시스템은, 딥러닝 기반의 충돌안전 제어로직을 갖는 충돌안전 모델을 저장하는 메모리, 및 상기 메모리와 전기적으로 연결된 프로세서를 포함하며, 상기 프로세서는, 충돌 전 데이터 및 충돌 후 데이터를 포함하는 충돌 신호를 기반으로, 상기 충돌안전 제어로직에 따라 상기 충돌 신호에 대응되는 충돌 유형 및 승객 보호 장비에 대한 전개요구시점(RTTF; required time-to-fire)을 출력하도록 상기 충돌안전 모델을 학습시킬 수 있다.
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.
Deep learning-based collision safety control system and operation method thereof
딥러닝 기반의 충돌안전 제어 시스템 및 그의 동작 방법
2024-04-16
Patent
Electronic Resource
Korean
IPC: | B60W CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION , Gemeinsame Steuerung oder Regelung von Fahrzeug-Unteraggregaten verschiedenen Typs oder verschiedener Funktion / G01M TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES , Prüfen der statischen oder dynamischen Massenverteilung rotierender Teile von Maschinen oder Konstruktionen / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen |
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