상세정보
학술대회
ML-based Power Seat Control System
- 발행일
- 201910
- 출처
- International Conference on Information and Communication Technology Convergence (ICTC) 2019, pp.1260-1261
- 협약과제
- 19GH1500, 초대규모(Massive) 실시간 IoT 인프라 및 네트워크 기술 개발 , 박태준
- 초록
- We propose the power seat control system based on a machine learning approach from passengers' control actions. More specifically, the system adjusts seat in cars by referring to the trained model on behalf of passengers. If they manually adjust the car seat, the system re-trains the inference model. Whenever manual adjustment happens, the model update is repeated. The system can be used in any area of adjustment system such as a power seat and a power mirror. Consequently, the proposed system can improve passenger's safety and satisfaction in driving.
- KSP 제안 키워드
- Control systems, Machine Learning Approach, Manual adjustment, Model update, control actions, inference model