• 대한토목학회논문집
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• 제32권4D호
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• pp.291-303
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• 2012

보다 안전한 운전을 유도하기 위해서는 불특정 운전자에게 획일적이고 정적인 감속정보를 제공하기보다는 개별차량 움직임을 고려하여 해당 도로를 이용하는 운전자가 어떻게 행동해야 하는지에 대해 개별 운전자 중심의 동적이고 구체적인 정보를 제공하여야 한다. 본 연구에서는 실시간으로 차량 및 도로교통상황에 대한 정보의 수집 및 전송이 가능한 스마트하이웨이의 도로 및 통신환경이 조성되었을 때를 가정하여, 노면상태 및 주행상태 등의 도로교통상황, 선 후행차량의 통행속도 및 차간거리를 고려하여 실시간으로 차량 안전거리 정보 제공을 목적으로 하였다. 노면상태에 따라 상태기준컬럼($C_{condition}$)의 값을 달리 정의하여 기본적인 위험상황정보를 제시하고자 하였으며, 이를 기준으로 표현컬럼($C_n$)의 범위에 선 후행차량의 통행속도, 차량간격, 종단경사, 노면상태 등을 종합적으로 반영하여 실시간 안전거리 지수(RSDI)를 산출하도록 하였다. 산출된 실시간 안전거리 지수(RSDI)를 운전자에게 제공함으로서, 운전자가 차량간 충돌(추돌) 가능 위험상황에 대해 직관적으로 인지하고 충분히 대응할 수 있도록 하여 안전을 도모하도록 하였다. 산출된 RSDI의 값은 30개의 단위컬럼으로 이루어지고, 사전에 정한 '경고', '위험, '보통'의 3단계 위험도 평가 등급으로 구분되어 운전자에게 제공되게 된다.

• 한국CDE학회논문집
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• 제18권4호
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• pp.250-257
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• 2013

This paper introduces a failure analysis procedure that underpins real-time fault prognosis. In the previous study, we developed a systematic eventization procedure which makes it possible to reduce the original data size into a manageable one in the form of event logs and eventually to extract failure patterns efficiently from the reduced data. Failure patterns are then extracted in the form of event sequences by sequence-mining algorithms, (e.g. FP-Tree algorithm). Extracted patterns are stored in a failure pattern library, and eventually, we use the stored failure pattern information to predict potential failures. The two practical case studies (marine diesel engine and SIRIUS-II car engine) provide empirical support for the performance of the proposed failure analysis procedure. This procedure can be easily extended for wide application fields of failure analysis such as vehicle and machine diagnostics. Furthermore, it can be applied to human health monitoring & prognosis, so that human body signals could be efficiently analyzed.

• Journal of Electrical Engineering and Technology
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• 제8권6호
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• pp.1431-1438
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• 2013

A pack-level battery hardware-in-the-loop simulation (B-HILS) platform is implemented. It consists of dynamic vehicle models using PSAT and multiple control interfaces including real-time 3D driving and GPS mode. In real-time 3D driving mode, user can drive a virtual vehicle using actual drive equipment such as steering wheel and accelerator to generate the cycle profile of the battery. In GPS mode, actual road traffic and terrain effects can be simulated using GPS data while the trajectory is displayed on Google map. In the latter part of the paper, several performance tests of an actual lithium-polymer battery pack are carried out utilizing the developed system. All experiments are conducted as parts of actual development process of a commercial battery pack adopting 2nd generation Prius as a target vehicle model. Through the experiments, the low temperature performance and fuel efficiency of the battery are quantitatively investigated in comparison with the original nickel-metal hydride (NiMH) pack of the Prius.

• 한국자동차공학회논문집
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• 제20권4호
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• pp.16-24
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• 2012

This paper proposes a method utilizing Differential Global Position System (DGPS) with Real-Time Kinematic (RTK) and pre-built Geo-graphic Information System (GIS) to detect lane departure of a vehicle. The position of a vehicle measured by DGPS with RTK has 18 cm-level accuracy. The preconditioned GIS data giving accurate position information of the traffic lanes is used to set up coordinate system and to enable fast calculation of the relative position of the vehicle within the traffic lanes. This relative position can be used for safe driving by preventing the vehicle from departing lane carelessly. The proposed system can be a key component in functions such as vehicle guidance, driver alert and assistance, and the smart highway that eventually enables autonomous driving supporting system. Experimental results show the ability of the system to meet the accuracy and robustness to detect lane departure of a vehicle at high speed.

• Advances in Automotive Engineering
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• 제1권1호
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• pp.123-141
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• 2018

Hardware-in-the-loop (HiL) simulation is a very powerful tool to design, test and verify automotive control systems. However, well-validated and high degree of freedom vehicle models have to be utilized in these simulations in order to obtain realistic results. In this paper, a vehicle dynamics model developed in the Carsim Real Time program environment and its validation has been performed using experimental results. The developed Carsim real time model has been employed in the Tofas R&D hardware-in-the-loop simulator. Experimental and hardware-in-the-loop simulation results have been compared for the standard FMVSS No. 126 test and the results have been found to be in good agreement with each other. Two electronic stability control (ESC) algorithms, named the Basic ESC and the Integrated ESC, taken from the earlier work of the authors have been tested and evaluated in the hardware-in-the-loop simulator. Different evaluation methods have been formulated and used to compare these ESC algorithms. As a result, the Integrated ESC system has been shown superior performance as compared to the Basic ESC algorithm.

• 한국지능시스템학회논문지
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• 제18권2호
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• pp.223-229
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• 2008

본 논문에서는 비젼을 이용한 영상처리 기술을 기반으로 운전자의 피로도를 측정하여 졸음운전을 판단하는 실시간 비젼시스템을 제안한다. 제안된 시스템은 얼굴 영상 분석과 퍼지 이론을 이용하여 운전자의 졸음 또는 부주의함을 경고함으로서 교통사고를 미연에 방지하는 시스템이다. 본 논문에서는 실시간 얼굴 탐색 알고리즘 개발을 위해 퍼지 색상 필터와 가상 얼굴 모형을 이용하여 얼굴 위치 및 눈 영역을 보다 빠르게 검출하고, 눈 깜박임의 빈도수(eye blinking frequency)와 눈의 닫힘 지속 기간(eye closure duration)을 측정하는 방법은 제안한다. 그 다음, 측정된 데이터를 기반으로 퍼지논리를 사용하여 운전자의 피로도를 결정하고 졸음운전 여부를 판단하는 방법을 제안한다. 마지막으로 제안된 방법은 여러 실험을 통해 그 우수성과 응용 가능성을 증명한다.

• 한국통신학회논문지
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• 제39B권3호
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• pp.180-187
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• 2014

본 논문은 도로에 설치된 인프라 시스템 및 타 자율 주행 차량과 협력하여 주행하는 협력형 무인 자율 주행 차량 기술을 위한 멀티케스트 통신 기법을 소개한다. 협력형 자율 주행 차량은 주행 안전성 향상을 위해 인프라 시스템 및 주변 차량과 통신한다. 교환되는 정보는 차량 안전과 관련 된 정보이며 다수의 자율 주행 차량에게 정의된 시간 내에 반드시 전송되어야 한다. 그러나 차량 통신 국제 표준인 WAVE는 협력형 자율 주행을 위해 요구되는 멀티케스팅 통신의 높은 전송 성공을 보장하지 않는다. 본 논문에서는 WiVCL이라는 MAC 계층의 고신뢰 멀티케스트 기법을 제안한다. IEEE 802.11p 및 BMW와 비교한 결과 WiVCL은 높은 전송 성공률과 예측 가능한 전송 지연 시간을 보여줌을 확인할 수 있었다.

• 한국산업융합학회 논문집
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• 제22권6호
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• pp.703-709
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• 2019

This paper proposes a monitoring and remote control system, an essential part of In Vehicle Infotainment (IVI) and Human Vehicle Interface (HVI) to provide safety and convenience to a driver. The system utilizes Bluetooth for a short range communication and utilizes WCDMA for a long range communication to enhance efficiency. In this paper, an integrated controller, which integrates a CAN communication module, a Bluetooth communication module, a WCDMA communication module, is designed to control a car. Also, a remote server for managing data is designed to provide real-time monitoring and remote control for a user via smart devices. Experiment results show that all the proposed remote control, driving log, real-time monitoring, and diagnostics functions are working properly. With the proposed system, a driver can drive safely by monitoring and inspecting a car before driving via smart devices, and control conveniently by controlling a car remotely.

• 드라이브 ㆍ 컨트롤
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• 제20권1호
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• pp.8-15
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• 2023

With the recent trend of intelligence and automation of construction work, a double-blade road cutter is being developed that automatically enables cutting along the cutting line marked on the road using a vision system. The road cutter can recognize the cutting line through the camera and correct the driving route in real-time, and it detects the load of the cutting blade in real-time to control the driving speed in case of overload to protect workers and cutting blades. In this study, a vision system mounted on a double-blade road cutter was developed. A cutting route recognition technology was developed to stably recognize cutting lines displayed on non-uniform road surfaces, and performance was verified in similar environments. In addition, a vision sensor protection module was developed to prevent foreign substances (dust, water, etc.) generated during cutting from being attached to the camera.

• 한국IT서비스학회지
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• 제22권2호
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• pp.57-70
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• 2023

In order to establish an autonomous driving environment, it is necessary to study traffic safety and demand prediction by analyzing information generated from the transportation infrastructure beyond relying on sensors by the vehicle itself. In this paper, we propose a real-time traffic information generation method using sensor convergence technology of transportation infrastructure. The proposed method uses sensors such as cameras and radars installed in the transportation infrastructure to generate information such as crosswalk pedestrian presence or absence, crosswalk pause judgment, distance to stop line, queue, head distance, and car distance according to each characteristic. create information An experiment was conducted by comparing the proposed method with the drone measurement result by establishing a demonstration environment. As a result of the experiment, it was confirmed that it was possible to recognize pedestrians at crosswalks and the judgment of a pause in front of a crosswalk, and most data such as distance to the stop line and queues showed more than 95% accuracy, so it was judged to be usable.