http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
박세훈(Sehoon Park),이형철(Heongcheol Lee) 한국자동차공학회 2020 한국자동차공학회 부문종합 학술대회 Vol.2020 No.7
The life expectancy of the rotating unit used in various places in the vehicle is difficult to observe and predict the state of life due to the change of the vibration pattern according to the cause of various defects. The pattern of vibration depends on the degree of degradation of the bearing, and even if you try to record and judge it, the capacity of the measured data increases rapidly with time, making it difficult to store and utilize it. Therefore, various methods for predicting the lifespan of a rotating unit, especially a bearing, have been studied, and it is necessary to accurately grasp the state information of the rotating unit. In this paper, a signal processing and clustering system for vibration information proposed by using an experimental data set with an attached radial sensor attached to the bearing test rig to understand the state information of the rotating unit. The clustered state information was proposed to enable faster and more efficient analysis of signal processed vibration information. This method shows that it is possible to classify the same fault information that occurred in different test sets, so it is expandable that can be classified even if new vibration information of a rotating unit is input. Also, it is an economical classification method because it does not need to deal with a large amount of accumulated data when building a monitoring system with a relatively simple clustering method.
Vehicle In the Loop을 위한 HUD 시각화 환경 연구
박창우(Changwoo Park),나원빈(Wonbin Na),이형철(Heongcheol Lee) 한국자동차공학회 2018 한국자동차공학회 학술대회 및 전시회 Vol.2018 No.11
This paper presents a head-up display for VIL (Vehicle In the Loop) simulator. This head-up display system includes a beam projector and rear screen film. This system offers safety driver’s view with both of real and virtual environment at the same time.
APF 기법을 이용한 자율주행차량의 운행 적합도 지표 개발
김좌헌(Joahun Kim),조건희(Kunhee Cho),이형철(Heongcheol Lee) 한국자동차공학회 2021 한국자동차공학회 부문종합 학술대회 Vol.2021 No.6
In this paper, we design a driving suitability Indicator based on situational measurement data around autonomous vehicles. Autonomous vehicle affect surrounding vehicles due to driving speed deceleration/acceleration and lane change in process of path tracking to the target position. In order to indicator the impact on surrounding vehicles, the Artificial Potential Field(APF) is constructed using longitudinal/lateral relative velocity and relative distance to the surrounding vehicles in traffic flow. This application quantifies the suitability of autonomous vehicles. The derived driving suitability index can be seen as an indicator of how conservative autonomous vehicles are driving toward surrounding vehicles in traffic flow or whether autonomous vehicles are driving properly. To validate the designed goodness-of-fit indicators, we construct longitudinal, lateral fusion scenarios based on traffic accident case data provided by the KoROAD and AEB tests provided by Euro NCAP. Based on the configured scenario, conservative/nonconservative driving data of many drivers were acquired and used for verification using dSPACE’s Automatic Simulation Model(ASM) Driving simulator. Scenario verification shows numerical suitability for all longitudinal and lateral situations based on the suitability indicators proposed in this paper. In conservative driving situations, it was found that the driving suitability of surrounding vehicles is high compared to non-conservative driving situation.
직렬형 하이브리드 차량의 구성품 성능저하를 고려한 상위제어 알고리즘에 관한 연구
최인교(Inkyo Choi),함형진(Hyeongjin Ham),이형철(Heongcheol Lee) 한국자동차공학회 2013 한국자동차공학회 부문종합 학술대회 Vol.2013 No.5
This paper present a hybrid control algorithm of series type hybrid electric vehicle considering performance deterioration index of low-level system. The index is dependent on the result of reference that study on the performance monitoring of ICE, energy storage system and motor. it’s designed to avoid the life cycle decrease of low-level system and to keep total vehicle safety. The algorithm is designed using MATLAB/Simulink and it"s designed to be able to easily simulate vehicle performance proposed research is validated by AVL Cruise.
LSTM을 이용한 HILS 데이터 판정 자동화 모델 개발에 대한 연구
조인정(InJeong Jo),서영식(YeongSik Seo),이형철(Heongcheol Lee) 한국자동차공학회 2020 한국자동차공학회 학술대회 및 전시회 Vol.2020 No.11
Due to the advancement of autonomous driving technology and the paradigm shift toward electric vehicle, the functions of vehicle have become diverse and complex. For effective function development and verification, car manufacturers are developing functions using the HILS system, but the complexity and diversity of functions make repeated tests inevitable. As a result, human resources are consumed in analyzing numerous test data and determining results. To overcome this problem, This paper proposed an automation model for determining HILS data using LSTM network, one of artificial networks. For model training and verification, we used 2,175 multivariate time series HILS data. Trained model classify testcase number of input data and determine Pass/Fail of input data. The performance of the proposed model was validated by performance index(accuracy, precision, recall, F1-score).
남기혜(Gihye Nam),박창우(Changwoo Park),이형철(Heongcheol Lee) 한국자동차공학회 2019 한국자동차공학회 부문종합 학술대회 Vol.2019 No.5
This paper represents visualization environment with HMD (head-mounted display) for test driver who are testing ADAS (Advanced Driver Assistance System) vehicle. Recently the ADAS is actively developed. Naturally, various methods are required to validate the stability of the system. Among them, VIL (Vehicle In the Loop) allows for safe and reproducible testing of safety-critical ADAS function. The VIL method perfectly merges real test driving and simulated elements, and test driver experiences the simulated environment with virtual reality solutions represented in this paper in real time. This paper offer visualization of real vehicle data and virtual driving environment data and then discuss about effectiveness between the actual driving and the virtual environment with two scenarios.
도로 기하 정보를 적용한 다중 모델 기반의 확률적인 차량 경로 예측
남기혜(Gihye Nam),권대욱(Daewook Kwon),조건희(Kunhee Cho),이형철(Heongcheol Lee) 한국자동차공학회 2020 한국자동차공학회 부문종합 학술대회 Vol.2020 No.7
This paper proposed a multi-model based stochastic vehicle trajectory prediction algorithm using road geometry information. The probability of collision with surrounding vehicles has been suggested as an indicator for determining the suitability of an autonomous driving system. To estimate vehicle behavior in complicated situation in usual roadway, the road geometry and the model-based estimation of various vehicle behaviors should be integrated. the Interacting Multiple Model (IMM) filter with a curvilinear coordinate system is used for model integration to estimation vehicle behavior from complex road geometry information. Moreover, each probabilities of basis models are used to predict trajectory of surrounding vehicles. This proposed method was designed in simulation environment and validated with various scenarios such as lane keeping and lane changing in curved road.