• The Journal of Korean Institute of Communications and Information Sciences
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• v.26 no.6B
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• pp.760-766
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• 2001

본 논문에서는 차량내 핸즈프리 전화통신을 위한 음향 반향 및 배경 잡음 제거기를 제안한다. 제안한 시스템은 새로운 잔여 반향 제거 기법과 실시간 구현에 적합한 동시통화 검출기를 포함한다. 잔여 반향 제거에서는 근단화자가 없는 구간에 대하여 선형 예측기를 이용하여 잔여 반향 신호의 인접 샘플간의 상관도를 제거하여 잡음 제거기의 입력으로 사용한다. 잔여 반향 신호의 음성특성을 제거함으로써 잡음 제거기를 이용하여 배경 잡음과 더불어 잔여 반향의 전력을 효과적으로 줄일 수 있다. 제안된 시스템에서는 상용 저전송률 음성부호화기와의 결합을 고려하여 IS-127(EVRC)에 포함되어 있는 잡음 제거기를 사용하였다. 90 km/h로 정속 주행하는 차내의 핸즈프리 환경에서 제안된 시스템은 30 dB이상의 간섭신호 제거 성능을 보였다. 제안된 시스템은 16비트 고정 소수점 연산을 하는 저가의 DSP를 이용하여 실시간 구현되었다.

• Proceedings of the Korea Information Processing Society Conference
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• 2002.04b
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• pp.1435-1438
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• 2002

미래의 산업으로 부각되고 있는 지능형교통시스템(ITS: Intelligent Transport Systems)은 실시간 데이터의 원활한 전송을 위하여 차량과 노변장치 간의 고속 무선통신 방식인 단거리전용통신(DSRC) 방식을 적용하고 있다. 그러나, DSRC 방식은 실시간 환경에 적합한 축약된 3계층(물리, 데이터링크, 응용계층) 구조로 이뤄져 있으며, 통신영역간에 로밍이나 핸드오프 기능이 결여되어 있어 일반적인 데이터서비스를 제공하기에는 여러 가지 문제점을 안고 있다. 이에, 본 연구에서는 이러한 문제점을 분석하고, DSRC 상에서 효율적인 데이터서비스를 제공할 수 있는 이동에이전트 아키텍처를 제안하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2013.05a
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• pp.438-441
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• 2013

자동차 관련 기술은 점차 전기, 전자 장치로 빠르게 바뀌어 가고 있다. 차량 내 연결되어 있는 전자 제어 장치들도 그에 따라 증가하게 되었고 장치간의 통신 성능도 중요하게 되었다. 가장 널리 사용되고 있는 차량용 네트워크 프로토콜로는 CAN(Controller Area Network)을 들 수 있다. 그러나 최근 통신 복잡도가 증가함에 따라 주기적 메시지 통신의 메시지 전송 지연 및 중단이 발생되고 있다. 본 논문에서는 이러한 문제에 대한 해결 방안을 제시하기 위해 메시지들의 스케줄 가능성 및 응답시간에 따른 실 시간성 검증 모델을 제안한다. CAN 메시지 수신 시 RMA(Rate Monotonic Algorithm)기반으로 메시지 스케줄 가능성 평가 모델을 개발하였다. 또한, CAN 메시지를 송신할 경우 RTA(Response Time Analysis)를 고려한 실 시간성 평가 모델을 제시하였다. 실험 1 에서는 기존 RMA 기법으로 통신을 수행한 결과 통신 중 중단되는 현상을 확인하였고 이후 제안 모델에서는 23%정도의 추가 시간을 확보하여 통신을 완료하는 것을 증명하였다. 실험 2 에서는 메시지 통신의 응답시간이 모두 제안된 Worst-case 응답시간 이내로 측정되어 실 시간성을 만족함을 확인하였다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.37 no.8B
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• pp.695-705
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• 2012

Due to recent advances in wireless devices and the automotive industry, Vehicular Ad hoc Networks (VANETs) have emerged as a very promising technology for transferring data collected on the road by moving cars. The delivered data may contain emergency information which affects the safety of passengers and drivers as well as the traffic congestion, and the routing protocols have thus a significant impact on the performance of VANETs. In this paper, we study the impact of movement direction of the participating cars which forward data packets on the performance of data delivery and present a new approach which extends the contention-based forwarding (CBF). The proposed reliable CBF (R-CBF) increases the reliability of data deliver on the traffic lights installed roads and reduces the overall propagation delay without routing loops or interruption of data forwarding that may be caused by changes of relative positions of involving cars in routing. Simulation demonstrates that the R-CBF diminishes propagation delay by 38% in comparison to G-SRMB which forwards data to moving cars in the backward direction and eliminates unnecessary retransmissions.

• The Journal of the Korea institute of electronic communication sciences
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• v.8 no.10
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• pp.1443-1449
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• 2013

Automatic detection of vehicles in front is an integral component of many advanced driver-assistance system, such as collision mitigation, automatic cruise control, and automatic head-lamp dimming. Regardless day and night, tail-lights play an important role in vehicle detecting and status recognizing of driving in front. However, some drivers do not know the status of the tail-lights of vehicles. Thus, it is required for drivers to inform status of tail-lights automatically. In this paper, a recognition method of status of tail-lights based on video processing and recognition technology is proposed. Background estimation, optical flow and Euclidean distance is used to detect vehicles entering tollgate. Then saliency map is used to detect tail-lights and recognize their status in the Lab color coordinates. As results of experiments of using tollgate videos, it is shown that the proposed method can be used to inform status of tail-lights.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2009.10a
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• pp.98-101
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• 2009

Recently, there is use of the vehicle network for vehicle diagnostic method and Increased use of the vehicle protocol such as (CAN(Controller Area Network), MOST, LIN, FlexRay), Distributed control and data about the vehicle are being sought methods for real-time observation and monitoring and trend tends to have gone into this. In this case of automotive diagnostic module in today, there is Primarily to use DLC(Data Link Connector)Connector called self-check terminal. Generally, vehicle Diagnoses to use DLC Connector such as OBD2(On Board Diagnostics) Through Diagnostic Module(scanner). But there limit diagnostic as engine and powertrain part, and not consider user's perspective In this paper, By designing Vehicle diagnostic monitoring system using Ethernet Port, transmit and Receives CAN protocol vehicle data, and implement Easily monitoring system that provide and Diagnoses to provide vehicle's state and information to use PC.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.1
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• pp.209-214
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• 2023

In the future, as autonomous vehicles become popular at home and abroad, the frequency of accidents involving autonomous vehicles is also expected to increase. In particular, when a fully autonomous vehicle is operated, various criminal/civil problems such as sexual violence, assault, and fraud between passengers may occur as well as the vehicle accident itself. In this case, forensics for accidents involving autonomous vehicles and accidents involving passengers in the vehicles are also about to change. This paper reviewed the types of security threats of autonomous vehicles, methods for maintaining the integrity of evidence data using blockchain technology, and research on digital forensics. Through this, it was possible to describe threats that would occur in autonomous vehicles using blockchain technology and forensic techniques for each type of accident in a scenario-type manner. Through this study, a block that helps forensics of self-driving vehicles before and after accidents by investigating forensic security technology of domestic and foreign websites to respond to vulnerabilities and attacks of autonomous vehicles, and research on block chain security of research institutes and information security companies. A chain method was proposed.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.8 no.2
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• pp.33-40
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• 2018

There are lots of literature about connected car system from industry and academia. The connected car is a smart car integrated with IT technology that is connected to people, vehicles and traffic management systems. It is important to V2I (vehicle to infrastructure) communication which is the connection between the vehicle and the infrastructure. CIM (cooperative intersection management) is a device to manage the communication between vehicle and infrastructure. In this paper, we analyze two intelligent vehicle control methods using CIM at non-signalized intersections. In the first method, a vehicle to pass through intersection needs to reserve a resource of intersection. In the second method, trajectory patterns on pre-planned vehicles are classified to pass through intersection. We analyze case studies of two methods to be implemented by DP(dynamic programming) and ACO(ant colony optimization) algorithms. The methods can be reasonably improved by placing importance on vehicles or controlling speeds of vehicles.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.24 no.1
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• pp.65-74
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• 2024

In recent years, image processing technology has played a critical role in the field of autonomous driving. Among them, image recognition technology is essential for the safety and performance of autonomous vehicles. Therefore, this paper aims to develop a hybrid image recognition system to enhance the safety and performance of autonomous vehicles. In this paper, various image recognition technologies are utilized to construct a system that recognizes and tracks objects in the vehicle's surroundings. Machine learning and deep learning algorithms are employed for this purpose, and objects are identified and classified in real-time through image processing and analysis. Furthermore, this study aims to fuse image processing technology with vehicle control systems to improve the safety and performance of autonomous vehicles. To achieve this, the identified object's information is transmitted to the vehicle control system to enable appropriate autonomous driving responses. The developed hybrid image recognition system in this paper is expected to significantly improve the safety and performance of autonomous vehicles. This is expected to accelerate the commercialization of autonomous vehicles.

• Proceedings of the Korea Information Processing Society Conference
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• 2005.11a
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• pp.1303-1306
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• 2005

최근 차량에 설치된 단말기를 통해 길안내 서비스, 교통정보 서비스 등 다양한 정보를 제공하는 텔레매틱스 서비스가 활발하게 연구되고 있다. 하지만 현재 대다수의 텔레매틱스 서비스는 최대 15m의 공간 오차를 가진 GPS 기술을 이용하기 때문에 차량의 정확한 위치정보를 파악하기는 힘들다. 따라서 본 연구에서는 무선 센서 노드를 이용해 GPS보다 정확한 차량의 위치정보와 속도를 감지해 교차로에서 발생할 수 있는 차량 충돌을 예측하고 충돌 위험 정보를 교차로에 근접한 자동차에게 알려주는 텔레매틱스 교통안전시스템을 구성하고 노드 간 통신 프로토콜로서 IEEE 802.15.4[1]를 채택한 후 고정 라우팅 방식으로 차량정보를 베이스 스테이션까지 보내어 교차로 주변차량 전체에 브로드캐스트하는 방식을 취하도록 한다. 빠르게 이동하는 차량의 특성상 교차로 차량 충돌 방지 서비스 구현에 있어서 높은 실시간성과 신뢰성을 갖춘 프로토콜이 요구된다. 따라서 본 차량 충돌 예측을 위한 교통안전시스템의 신뢰성과 실시간성을 평가하기 위하여 Network Simulator 2 (NS/2)[2]를 이용하여 시뮬레이션 한다.