• Proceedings of the KSR Conference
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• 2003.10b
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• pp.247-252
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• 2003

본 논문은 철도안전운행을 위하여 능동적으로 철도차량을 제어를 지리정보시스템기법을 활용하는 방안을 제시하고 있다. 이를 위해서는 철도차량의 위치를 얼마나 정확하게 추적 및 표출이 가능한지를 검토해 보았다. 구체적으로는 GIS의 정의와 기능을 살펴보고 GIS기법을 활용한 능동적 철도차량제어의 에시를 정리하였다. 능동적 철도차량을 제어를위한 핵심요소인 철도차량 위치자료의 정확성을 수치지도의 축적별로 분석하였다. 최종적으로는 능동적으로 철도차량을 제어를 지리정보시스템기법을 활용하기 위해 칠요한 주요쟁점사항을 정리하였다.

• Journal of the Korean Institute of Intelligent Systems
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• v.24 no.4
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• pp.392-397
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• 2014

Recently, there are many researches on active safety system of intelligent vehicle. To reduce the probability of collision caused by driver's inattention and mistakes, the active safety system gives warning or controls the vehicle toward avoiding collision. For the purpose, it is necessary to recognize and analyze circumstances around. In this paper, we will treat the problem about collision risk assessment. In general, it is difficult to calculate the collision risk before it happens. To consider the uncertainty of the situation, Monte Carlo simulation can be employed. However it takes long computation time and is not suitable for practice. In this paper, we apply neural networks to solve this problem. It efficiently computes the unseen data by training the results of Monte Carlo simulation. Furthermore, we propose the features affects the performance of the assessment. The proposed algorithm is verified by applications in various crash scenarios.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.4
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• pp.707-714
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• 2016

Active driving safety systems for vehicle, such as the front collision avoidance, lane departure warning, and lane change assistance, have been popular to be adopted to the compact car. For improving performance and competitive cost, FMCW radar has been researched to adopt a phased array or a multi-beam antenna, and to integrate the front and the side radar. In this paper we propose several efficient methods to implement the signal processing module of FMCW radar system using low cost DSP. The pulse width modulation (PWM) based analog conversion, the approximation of time-eating functions, and the adoption of vector-based computation, etc, are proposed and implemented. The implemented signal processing board shows the real-time performance of 1.4ms pulse repetition interval (PRI) with 1024pt-FFT. In real road we verify the radar performance under real-time constraints of 10Hz update time.

• Journal of the Korean Institute of Intelligent Systems
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• v.23 no.5
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• pp.444-450
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• 2013

For intelligent vehicle technology, it is very important to recognize the states of around vehicles and assess the collision risk for safety driving of the vehicle. Specifically, it is very fatal the collision with the vehicle coming from opposite direction. In this paper, a centerlane violation prediction method is proposed. Only radar signal based prediction makes lots of false alarm cause of measurement noise and the false alarm can make more danger situation than the non-prediction situation. We proposed the novel prediction method using IMM algorithm and fuzzy logic to increase accuracy and get rid of false positive. Fuzzy logic adjusts the radar signal and the IMM algorithm appropriately. It is verified by the computer simulation that shows stable prediction result and fewer number of false alarm.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.8 no.3
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• pp.733-739
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• 2004

As per the recent technology related to safety of vehicles, Active safety system is being developed in combination withthe technology of electronic system. For example, ABC(Active Body Control), ABS(Antilock Brake System), ACC(Adaptive Cruise Control) are representative of this system. This technology is based on an electronic system, and shares a lot of data through network-system invehicles. Therefore, the control-algorism and the practicable application are realized in this research in order that CAN, network system for vehicles can run the brake device, which is composed mechanically and hand-operated. Additionally the possibility is confirmed that this control-system can be compatible with the existing electronic system in vehicles.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2006.11a
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• pp.261-264
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• 2006

지능형 차량정보 시스템은 21세기 교통체계로 기대를 모으고 있는 ITS(Intellligent Transport System)의 구축에 핵심이 되는 시스템이다. 이러한 시스템을 구현하기 위해서 종래의 네비게이션, 차량용 무선통신, 차량진단 등의 단일화된 시스템을 통합적으로 수행하며, 계측 또는 수집된 데이터를 분석하여 지능적으로 차량의 주행 상태를 분석 / 진단함으로써 차량에서의 안전한 운행과 운전자 및 승객들이 요구하는 정보 또는 다양한 서비스를 제공하기 위한 새로운 모듈의 개발이 절실히 필요한 실정이다. 따라서, 본 논문에서는 CAN(Controller Area Network) BUS을 이용한 차량의 상태수집 모듈과 능동 데이터베이스에 관해 기술하고 이를 통합하기 위한 임베디드 보드를 이용한 CAN BUS연계형 차량용 복합통신모듈의 프로토타입 H/W을 구성하여 실용화 가능성 및 유용성을 제시하고자 하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2013.11a
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• pp.1321-1323
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• 2013

지능형 자동차에서 영상 기반 능동 안전시스템의 신뢰성을 확보하기 위해서는 도로 위의 다양한 객체를 강건하게 검출하고, 추적하는 것이 가장 중요하다. 본 논문에서는 다중 가설 기반 추적 프레임워크를 이용하여, 실시간으로 전방 차량을 검출하고 추적하는 시스템을 제안한다. 제안한 시스템은 다양한 외부 도로 환경에서 획득된 실험 영상에 대하여 10-15Hz 의 처리 속도로, 평균적으로 98%의 인식률을 제공할 수 있다.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.39 no.2
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• pp.235-240
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• 2015

Active Safety system is requested on the market of the medium and heavy duty commercial vehicle over 4.5ton beside the market of passenger car with advancement of the digital equipment proportionally. Unlike the passenger car, the mounting position of camera in case of the medium and heavy duty commercial vehicle is relatively high, it is disadvantaged conditions for lane recognition in contradiction to passenger car. In this work, we show the method of lane recognition through the Sobel edge, based on the spatial domain processing, Hough transform and color conversion correction. Also we suggest the low error method of front vehicles recognition in order to reduce the detection error through Haar-like, Adaboost, SVM and Template matching, etc., which are the object recognition methods by frontal camera vision. It is verified that the reliability over 98% on lane recognition is obtained through the vehicle test.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.16 no.2
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• pp.23-35
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• 2017

Work zone traffic control is of keen interest because both traffic operations and safety performances are directly affected by traffic management methods. In particular, work zone traffic on two-lane roads needs to be managed in more efficient and safer manners due to its unique characteristics of alternative right-of-way assignment. This study developed a dynamic control algorithm that can be used for real-time operations of two-lane work zone traffic. The performance of the developed algorithm was evaluated by VISSIM microscopic traffic simulator. An applied programming interface (API) based program was developed to plug-in the control algorithm onto the simulator. The results demonstrated the feasibility of the proposed control algorithm for two-lane work zone.

• Journal of Korean Society of Transportation
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• v.32 no.5
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• pp.441-451
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• 2014

This study proposes a novel performance measure, which is referred to as Hazardous Spacing Index (HSI), to be used for evaluating safety of traffic stream on freeways. The basic principle of the proposed methodology is to investigate whether drivers would have sufficient stopping sight distance (SSD) under limited visibility conditions to eliminate rear-end crash potentials at every time step. Both Road Weather Information Systems (RWIS) and Vehicle Detection Systems (VDS) data were used to derive visibility distance (VD) and SSD, respectively. Moreover, the K-Nearest Neighbors (KNN) method was adopted to predict both VD and SSD in estimating predictive HSIs, which would be used to trigger advanced warning information to encourage safer driving. The outcome of this study is also expected to be used for monitoring freeway traffic stream in terms of safety.