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Soon-Woong Cha(차순웅),Sungsik Jo(조성식),Elango Rakeshwar 대한전자공학회 2020 대한전자공학회 학술대회 Vol.2020 No.11
The primary motive of this research is to recover permanent sensor fault. In Lane Keeping Assistant Systems, sensors play a necessary role in control. So, the robustness of sensors is very important. An Artificial Neural Network was developed and trained to completely recover the sensor fault. Steering Angle Sensor and Torque sensors were used for this research. If one sensor is failed another sensor is used to recover the failed sensor data. Finally, Hardware in Loop testing was done in a commercial heavy-duty vehicle system to verify the recovered sensor performance.