• 한국정보통신학회논문지
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• 제15권10호
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• pp.2136-2142
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• 2011

현재 도난방지를 위해 사용되는 방법은 Key를 이용한 방법, 원격 도어락과 차량 경보를 이용한 방법 등이 있다. 이 방법들은 차량의 Key를 분실할 경우 차량의 도난을 방지함에 있어 어려움이 있다. 그래서 본 논문에서는 Smart Device 와 CAN 통신을 이용한 차량 도난 방지 시스템에 대하여 제안한다. CAN의 차량 식별자 고유ID를 Head Unit에 보내고, Smart Phone을 통해 수신된 식별자 ID를 비교하여 동일한 ID 일 때 차량의 ACC(Accessory)를 on/off 하여 차량의 시동을 걸 수 있다.

• 제어로봇시스템학회논문지
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• 제14권5호
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• pp.496-501
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• 2008

Recently, many automotive companies tend to apply an air quality system (AQS), which prevents polluted air such as smoke or dust by controlling air intake actuator of vehicle, to satisfy the consumer's need for agreeable in-vehicle environment. However, performance of the traditional AQS is not satisfactory because a polluted air may enter into the inside of vehicle through the breaks of windows. Especially, the commercial vehicles such as bus or truck need to be prevented polluted air from the breaks of vehicle. Hence, as an alternative to the traditional AQS, this paper presents the architecture of smart AQS for commercial vehicle and implementation of the smart AQS. Also, the performance of the suggested system is evaluated through an experimental testbed.

• 제어로봇시스템학회논문지
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• 제16권6호
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• pp.532-538
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• 2010

SD (Smart Door) is a human friendly power-assisted door system initially targeted for passenger car doors. The Smart Door offers comfort and safety to passengers or/and drivers by supplying additional power. Amount of power supplied by the Smart Door system is depend on the environment where the automotive is situated. It realizes comfort, for example, when the force applied by the passenger to the door is expected to be abnormal, the SD system tries to compensate passenger's effort by supplying additional force. In this study, to enhance the ease of opening and closing the doors of the passenger vehicle, a Smart Door with a power assist mechanism consisting of a motor was developed and analysed. A power assist mechanism mounted within the vehicle's door is designed and modeled for simulation purpose. The required force necessary to control the designed mechanism during the vehicle's roll, pitch and the opening angle of the door has been considered. To this end, we propose a power-assisting control strategy called "gravity cancellation". The system is analysed by numerical simulation with the gravity cancellation control algorithm.

• 한국전자통신학회논문지
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• 제8권4호
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• pp.595-604
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• 2013

현재 수입차 차량의 등록대수가 해를 거듭할수록 증가하는 추세이다. 그에 맞춰 수입차와 같은 고급 차량을 정비하기 위한 차량 정비 업체의 환경 개선이 지속적으로 이루어지고 있다. 본 논문에서는 정비 차량의 고객 신뢰도를 제공하기 위한 스마트 차량 관리 시스템을 구현하기 위해 HSV 색상모델 기반의 키 프레임 추출 기법을 제안한다. 수리 차량의 입고 시 차량 번호판 인식 프로세스를 통해 차량의 번호판을 자동으로 인식 후, 이를 기준으로 차량의 수리 이력 확인 및 수리 요청을 처리한다. 차량 수리 동영상을 토대로 차량 수리 키 프레임을 추출하여 사용자의 스마트폰으로 제공하는 서비스를 구현한다. 아울러 제안하는 기법을 스마트 차량 관리 시스템에 적용함으로써 서비스의 우수성을 검증한다. 마지막으로 키 프레임 추출 기법의 성능을 향상시키기 위해 RGB 색상을 HSV 색상으로 변환하여 처리한다. 그 결과 제안된 방법의 키 프레임 추출을 위한 성능 평가에서 기존의 RGB 색상모델보다 HSV 색상모델이 재현율 측면에서 약 30% 더 우수함을 확인하였다.

• 한국통신학회논문지
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• 제29권7A호
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• pp.807-813
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• 2004

본 논문은 21세기 지식기반경제의 국제사회에서 경쟁할 수 있는 우리만의 강점기술을 전략적 선택으로 집중개발 필요성 증대에 따라 추진하게 된 ‘21세기 뉴-프론티어 연구개발사업’ 의 일환인 ‘스마트 무인기(Smart Unmanned Aerial Vehicle) 기술개발’ 에 해당되며, 이 중 스마트 무인기의 운용에 필요한 원격명령(Tele-Command)신호의 수신기능과 동시에 영상(Video)신호 및 원격측정(Tele-Metry)신호를 송신하는 기능 등을 수행하는 Ku-대역 탑재영상 송수신시스템을 설계하였다. 또한, 설계된 전체 통신시스템의 체계요구에 만족하기 위하여 이를 해석하였으며, 전체 시스템의 모듈별 시뮬레이션 및 제작을 통해 본 논문의 타당성을 보였다.

• 대한토목학회논문집
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• 제34권1호
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• pp.243-250
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• 2014

기존의 신호교차로에 비해 상대적으로 효율적이고 안전한 것으로 평가되고 있는 회전교차로(roundabout)가 최근 전국적으로 설치 운영 중에 있으며 이에 따라 회전교차로의 효율성과 안전성을 개선하기 위한 다양한 연구가 수행 중에 있다. 본 연구에서는 현재까지 시도된 적이 없는 회전교차로와 커넥티드 차량(connected vehicle) 기법의 접목을 통해 Smart Roundabout이라는 새로운 개념의 첨단교통정보시스템을 개발하고 미시적 시뮬레이션을 이용하여 평가하고자 한다. Smart Roundabout은 교차로를 회전하는 차량에 장착된 단말기(on-board equipment, OBE)를 통해 차량들의 주행정보(위치, 속도, 차두시간 등)를 커넥티드 차량(connected vehicle) 기법을 통해 전달받고 회전교차로에 접근하는 차량 내부의 단말기를 통해 교차로 진입에 대한 상환판단을 도와 안전성을 확보함과 동시에 보다 짧은 차두시간(critical headway)을 구현하여 회전교차로의 용량을 증대시킬 수 있을 것으로 기대된다.

• 한국정밀공학회지
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• 제28권12호
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• pp.1372-1378
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• 2011

The smart air condition system is superior to conventional air condition system in the aspect of control accuracy, environmental preservation and it is foundation for intelligent vehicle such as electric vehicle, fuel cell vehicle. In this paper, failure analyses of smart air condition system will be performed and then sensor fusion technique will be proposed for fail safety of smart air condition system. A sensor fusion logic of air condition system by using CO sensor, $CO_2$ sensor and VOC, $NO_x$ sensor will be developed and simulated by fault injection simulation. The fusion technology of smart air condition system is generated in an experiment and a performance analysis is conducted with fusion algorithms. The proposed algorithm adds the error characteristic of each sensor as a conditional probability value, and ensures greater accuracy by performing the track fusion with the sensors with the most reliable performance.

• 자동차안전학회지
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• 제12권1호
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• pp.52-61
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• 2020

In recent years, the increasing interest in health-care requires the industrial products to be well-designed ergonomically. In the commercial vehicle industry, several researchers have demonstrated the driver's posture has great effect on the orthopedic desease such as fatigue, back pain, scoliosis, and so on. However, the existing sensor systems developed for measuring the driver posture in real time have suffered from inaccuracy and low reliability issues. Here, we suggest our smart vehicle seat system capable of real-time driver posture monitoring by using the air bag sensor package with high sensitivity and reliability. The ergonomic numerical model which can evaluate a driver's posture has been developed on the basis of the human body segmentation method followed by simulation-based validation. Our experimental analysis of obtained pressure distribution of a vehicle seat under the different driver's postures revealed our smart vehicle system successfully achieved the driver's real-time posture data in great agreement with our numerical model.

• 산업경영시스템학회지
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• 제35권1호
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• pp.39-46
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• 2012

An unmanned aerial vehicle (UAV) is a powered aerial vehicle that does not carry a human operator, uses aerodynamic forces to provide vehicle lift, can fly autonomously or be piloted remotely, can be expendable or recoverable, and can carry a lethal or non-lethal payload. An UAV is very important weapon system and is currently being employed in many military missions (surveillance, reconnaissance, communication relay, targeting, strike, etc.) in the war. To accomplish UAV's missions, guarantee of survivability should be preceded. The main objective of this study is a local path planning to maximize survivability for UAV on the battlefield of dynamic threats (obstacles, surface-to-air missiles, radar etc.). A local path planning is capable of producing a new path in response to environmental changes. This study suggests a $Smart$ $A^*$ (Smart A-star) algorithm for local path planning. The local path planned by $Smart$ $A^*$ algorithm is compared with the results of existing algorithms ($A^*$ $Replanner$, $D^*$) and evaluated performance of $Smart$ $A^*$ algorithm. The result of suggested algorithm gives the better solutions when compared with existing algorithms.

• Journal of Multimedia Information System
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• 제4권1호
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• pp.9-18
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• 2017

Ubiquitous computing is a novel paradigm that is rapidly gaining in the scenario of wireless communications and telecommunications for realizing smart world. As rapid development of sensor technology, smart sensor system becomes more popular in automobile or vehicle. In this study, a new vehicle detection mechanism in real-time for blind spot area is proposed based on imaging sensors. To determine the position of other vehicles on the road is important for operation of driver assistance systems (DASs) to increase driving safety. As the result, blind spot detection of vehicles is addressed using an automobile detection algorithm for blind spots. The proposed vehicle verification utilizes the height and angle of a rear-looking vehicle mounted camera. Candidate vehicle information is extracted using adaptive shadow detection based on brightness values of an image of a vehicle area. The vehicle is verified using a training set with Haar-like features of candidate vehicles. Using these processes, moving vehicles can be detected in blind spots. The detection ratio of true vehicles was 91.1% in blind spots based on various experimental results.