• Journal of the Korean Institute of Intelligent Systems
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• v.25 no.2
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• pp.186-190
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• 2015

Intelligent vehicle plans motion and navigate itself based on the surrounding environment perception. Hence, the precise environment recognition is an essential part of self-driving vehicle. There exist many vulnerable road users (e.g. vehicle, pedestrians) on vehicular driving environment, the vehicle must percept all the dynamic obstacles accurately for safety. In this paper, we propose an multiple vehicle tracking algorithm using microwave radar. Our proposed system includes various special features. First, exceptional radar measurement model for vehicle, concentrated on the corner, is described by mixture density network (MDN), and applied to particle filter weighting. Also, to conquer the curse of dimensionality of particle filter and estimate the time-varying number of multi-target states, reversible jump markov chain monte carlo (RJMCMC) is used to sampling step of the proposed algorithm. The robustness of the proposed algorithm is demonstrated through several computer simulations.

• Journal of Internet Computing and Services
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• v.17 no.4
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• pp.43-50
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• 2016

In this paper, we propose the protocol of Ethernet that will receive a popular interesting in the automotive intelligent network, it also attempts to implementation and verification through simulation and experiments to propose a fault tolerance algorithm when the data transfer on it. It has proven the usefulness of the system in order to apply toward an existing automotive communication system. In the case of actual real-time data for automotive industry, we generated a randomly-generated data which is the set of payload into a standard format to complete the experiment. Among the implemented existing algorithms performance, we confirmed the effectiveness of all range from a single data to mixed (Hybrid-type) data, to verify the proposed algorithm.

• Journal of the Korean Institute of Intelligent Systems
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• v.18 no.4
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• pp.506-511
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• 2008

Recently, it is widely progressed that the research of the performance improvement of an intelligent vehicle. Among them, its parking problem has attracted a great deal of attention and have been examined in many papers in the literature. In this paper we design a fuzzy logic based parking system at the slant parking space which is a important part for designing an autonomous parking system. We first design a parking path for the slant space and propose a fuzzy logic based parking algorithm. We present its simulation results and show the effectiveness of the proposed method.

• Proceedings of the Korea Information Processing Society Conference
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• 2013.11a
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• pp.1547-1550
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• 2013

현재 우리나라에서 사용되는 대부분의 교통신호 체계는 교통량의 변화와 상관없이 규칙적인 신호주기를 반복하는 방식으로 교통 패턴이 안정되어 변동량이 적은 경우에는 적합하나, 현장교통상황에 능동적으로 조정되지 못하고, 소방차나 구급차와 같이 긴급을 요하는 차량에 대한 대처가 힘들다는 단점이 존재한다. 따라서 유기적인 현장교통상황에 능동적으로 대처하고, 긴급차량에 대한 합리적인 대처 방법이 필요하다. 따라서, 본 논문에서는 이와 같은 문제점을 해결하고자 기 설치된 신호 후방 CCTV를 이용하여 지능적으로 신호체계를 제어하고, 긴급차량에 대해 신호우선권을 부여함으로써, 위급상황에 유기적으로 대처할 수 있는 지능형 교통신호 제어 시스템을 설계하였다.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.24 no.4
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• pp.399-404
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• 2011

Overload vehicles have demoralizing influence upon the social overhead capital, economics of nation, traffic flow and road safe as various components. Accordingly, this study established a ubiquitous sensor network system to develop an intelligent regulation system to monitor overloaded vehicles in motion. and Unlike WIM, after detecting the axle of driving vehicles by measuring deformation of roads, this system calculates the weights of vehicles by using signals from the strain sensors installed under the road and an analysis method. Also the study conducted an simulation test for vehicle load analysis using genetic algorithm. and tested wireless sensor for USN system.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2009.10a
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• pp.82-85
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• 2009

Lately, in the automotive market appeared keywords such as convenience, safety in presentation and increase importance of part of vehicle. Accordingly, the use of many electronic devices was required essentially and communication between electronic devices is being highlighted. Various devices such as controllers, sensors and multimedia device(audio, speakers, video, navigation) in-vehicle connected car network such as CAN, MOST. Modern in-vehicle network managed and operated as purpose of each other. In this Paper, intelligent car navigation considering convenience and safety implement on MOST Network and present system to control CAN Network in vehicle.

• Journal of IKEEE
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• v.22 no.1
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• pp.168-173
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• 2018

To overcome the problems of the existing black box which is exposed to the risk of blind spots in the imaging of a fixed front and rear views of an object, this paper suggests a new intelligent black box that can detect and shoot side views of an object. This paper proposes an algorithm of the intelligent black box with a rotating function in order to compensate for the side blind spot of the vehicle. This intelligent black box with rotating screen adopts the infrared distance sensor to sense an object which approaches to the vehicle and rotates automatically towards the object.

• Information and Communications Magazine
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• v.28 no.4
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• pp.35-40
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• 2011

본고에서는 지능형 국방 감시시스템에 적용할 수 있는 핵심 기술인 PTZ(Pan-Tilt-Zoom) 네트워크 카메라를 이용한 액티브 객체 추적 및 객체 특성 분석 기법을 소개한다. 본고에서 소개하는 기법은 기존의 적응적 배경 모델링 기반의 객체 검출에서 발생하는 고스트 현상을 제거하고 정지객체를 안정적으로 추적할 수 있는 방법과 PTZ 카메라의 Panning, Tilting, Zooming을 통하여 카메라의 FOV를 지속적으로 추적하기 위한 카메라 이동 위치 예측 알고리즘을 포함하고 있다. 본고에서는 또한, 지능형 감시시스템의 한 종류로서 일반인이 통행할 수 있는 구역에서 출입자의 의상 특성을 분석하여 비인증 출입자를 검출하는 방법과 추적하는 객체가 차량일 경우, 차량의 종류를 자동 분류하는 기법을 소개한다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.2
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• pp.435-442
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• 2015

In this paper, we propose a tracking and recognition of pedestrian/vehicle for intelligent multi-visual surveillance system. The intelligent multi-visual surveillance system consists of several fixed cameras and one calibrated PTZ camera, which automatically tracks and recognizes the detected moving objects. The fixed wide-angle cameras are used to monitor large open areas, but the moving objects on the images are too small to view in detail. But, the PTZ camera is capable of increasing the monitoring area and enhancing the image quality by tracking and zooming in on a target. The proposed system is able to determine whether the detected moving objects are pedestrian/vehicle or not using the SVM. In order to reduce the tracking error, an improved camera calibration algorithm between the fixed cameras and the PTZ camera is proposed. Various experimental results show the effectiveness of the proposed system.

• Proceedings of the Korea Information Processing Society Conference
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• 2016.04a
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• pp.250-252
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• 2016

사물인터넷 환경이 발달함에 따라 사물들 간의 상호 정보 교환으로 사용자의 현재 상황 정보를 인지할 수 있는 지능형 가젯이 다시 주목받고 있다. 지능형 가젯은 사물이 지닌 고유 기능 외에 부가적으로 사용자의 정보 수집 및 처리작업을 저전력 무선 네트워크로 이용한다. 최근, 무선 네트워크가 지니고 있는 보안적인 취약점을 통해 지능형 가젯을 이용하여 차량을 탈취하는 피해가 발생하였다. 그 밖에도 추가적인 피해 사례가 발생한 것으로 보아 지능형 가젯에 대한 취약점을 보완할 해결책이 필요하다. 본 논문에서는 지능형 가젯이 시스템에 접근하는 것을 가젯 등록 인증을 통해 신뢰성 있는 지능형 가젯 방안을 제안한다.