• Proceedings of the IEEK Conference
• /
• 2008.06a
• /
• pp.1035-1036
• /
• 2008

본 논문은 주행 중인 자동차에서 획득한 영상에서 배경과 도로영역 및 물체를 분리하기 위한 영역분할 기법과 물체 검출 기법을 제안하고자 한다. 영상내의 에지라인의 화소 간 연결성을 이용한 라인검출을 이용하여 도로의 윤곽선 정보를 추출하고 컬러분포를 통해 배경과 도로영역을 분리한다. 물체가 가지는 코너 특성을 이용하여 나타난 정보들의 군집화를 통해 후보영역을 얻고 컬러 성분을 이용하여 개별 물체를 분리해냈다. 제안된 알고리즘은 복잡한 배경을 갖는 도로영상의 경우에도 도로영역과 물체의 검출에 강인함을 실험을 통해 검증하였다.

• Proceedings of the Korea Air Pollution Research Association Conference
• /
• 2002.04a
• /
• pp.257-258
• /
• 2002

인천은 동북아와 세계를 연결하는 허브(HUB)공항인 인천국제공항과 함께 인천항을 보유하고 있으며, 인천지방산업공단, 남동공단, 서부공단, 부평공단 및 주안공단 등 8개 산업공단을 중심으로 철강, 자동차, 기계, 석유화학, 전기ㆍ전자 등의 활발한 산업활동을 펴고 있다. 하지만 이렇게 집중되어진 교통망과 비계획적인 도로 등에 의한 교통혼잡 등에 의하여 도심에서도 대형트럭과 컨테이너 운반차량 등을 쉽게 달 수 있다. (중략)

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.38C no.3
• /
• pp.227-232
• /
• 2013

Due to the development of ITS technology, various services related to transportation under vehicular environments have been provided. Especially, as wireless communication technology, WAVE has been established as a standard for vehicle-to-vehicle communications. WAVE has fast connection and excellent mobility characteristics. A VSC-A project is conducting by global automotive OEMs in USDOT. This project introduces the advanced safety services with vehicle-to-vehicle communications. In this paper, we presented the scenario of a do not pass warning service, which prevents an accident during overtaking activity by using vehicle-to-vehicle communications. In addition, we analyzed network performance under WAVE. In conclusion, we introduced the simulation results. Finally, we summarized the communication range and delay values for consideration factors for a overtaking model.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.34 no.8B
• /
• pp.839-845
• /
• 2009

The Vehicular Ad-hoc Network (VANET) has two main problems to be overcome due to high mobility and frequently changing density: one is short link duration time and the other is high packet loss ratio. To solve the problems, there have been many studies to predict vehicular mobility. Most of the studies try to enhance link expire time and link reliability, however the distance between two relay nodes becomes too short to have high network throughput. In this paper, we propose a new routing algorithm that considers both link expire time and network throughput in the VANET. The proposed algorithm aims to find path with long link expire time and high throughput. Our simulation results show that the proposed algorithm outperforms the legacy greedy algorithm and its variants.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2017.01a
• /
• pp.87-88
• /
• 2017

오늘날 도시의 규모가 커지고 도시의 기능이 점점 복잡해진다. 또한, 도시에는 사람들이 많이 살고 있으며, 계속해서 도시로 사람들이 모이게 된다. 그러므로 도시에서의 삶은 서로 간에 점점 더 가까워지고 많은 부분에서 이웃 사람들과 연결되고 공간과 시간을 공유하게 된다. 특히, 사람들이 대중교통을 이용하면서 원하든 원치 않았든 많은 소리에 노출 되며, 그 소리에 대한 영향으로 서로 피해를 보기도 한다. 서울은 세계에서 가장 혼잡한 도시 중 하나이며, 이런 서울의 대중교통 중 마을버스는 좁은 골목길을 포함해 도로를 다니며 시민들의 공공의 이동을 담담하고 있다. 이 마을버스를 사용하는 사람들은 일반적으로 차량 내에서 좋은 승차감, 높은 공기질 및 적은 소음에서 이용하기를 원한다. 본 논문에서는 마을버스의 실내 소음에 대한 성가심도를 소음도 및 혼잡도에 관하여 분석한다. 그리고 이러한 상황별로 어떠한 경우에 성가심도가 높은지를 판단하고, 저감하는 방법을 마련하도록 하고자 한다. 분석결과 마을버스 내부 소음은 새 차와 오래된 차에서 큰 차이를 보이지 않았고, 성가심도 또한 도로 상황에 따른 소음의 정도에 민감한 반응을 보임을 확인하였다. 그래서 저감대안으로는 차량의 소음이 적게 발생 시키는 운전과, 차량의 정비 등을 제안하고자 한다.

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

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2015.10a
• /
• pp.211-215
• /
• 2015

It comes into the spotlight as the new Blue Ocean in which the connected car industry in which the car and mobile communication technology is convergence. All sorts of infortainments services connecting with the portable electronic device(Smart phone, tablet PC, and MP3 player) and car are rapidly grown. The Connected car emphasizes the vehicle connectivity with the concept that the car has communication with the around on a real time basis and it provides the safety and expedience to the operator and using the thing of Internet (IoT) in the car and supports the application, presently, the entertainment service including the real-time Navigation, parking assistant function, not only the remote vehicle control and management service but also Email, multimedia streaming service, SNS and with the platform. Intelligent vehicle network is studied as the kind according to MANET(Mobile Ad Hoc Network) for the safety operation of the cars of the road and improving the efficiency of the driving. The intelligent vehicle network is comprised for the driving information offering changing rapidly of the communication(V2V: Vehicle to Vehicle) between the car and the car, communication(V2I : Vehicle to Infrastructure) between the infrastructure and the car, and V2X (Vehicle to Nomadic).

• Journal of the Korea Society of Computer and Information
• /
• v.27 no.6
• /
• pp.117-122
• /
• 2022

In this paper, we developed a vehicle control terminal using IoT and low-power long-distance communication (NB-IoT) technology. This system collects information on the location and status of a parked vehicle, and transmits the vehicle status to the vehicle owner's terminal in real time with low power to prevent vehicle theft, and in the case of a vehicle in motion, When primary information about the vehicle, such as an impact, is collected and transmitted to the server, the server analyzes the relevant data to generate secondary information on traffic congestion, road damage, and safety accidents. By sending it, you can know the exact arrival time of the vehicle at its destination. This terminal device is an IoT gateway for a vehicle and can be connected to various wired and wireless sensors inside the vehicle. In addition, the data collected from vehicle maintenance, efficient operation, and vehicles can be usefully used in the private or public sector.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2010.10a
• /
• pp.95-97
• /
• 2010

Recently, CAN network technology and MOST network are introduced in vehicle to control many electronic devices and to provide entertainment service. Many interconnected devices operate in MOST network which has ring topology such as CD-ROM(DVD), AMP, VIDEO CAMERA, VIDEO DISPLAY, GPS NAVIGATION and so on. In this paper, The input image of CAMERA in the MOST network is used for determining the movement direction of vehicle. Even though the position information was received from GPS, it is difficult to directly determine the direction of moving vehicle in certain areas such as the parallel road structure. This paper designs and implements the method to determine vehicle's direction by real-time matching between CAMERA image and object image base on image DB.

• Journal of the Institute of Electronics and Information Engineers
• /
• v.54 no.1
• /
• pp.55-69
• /
• 2017

Recently, the IoT (Internet of Things) environment is being developed rapidly through network which is linked to intellectual objects. Through the IoT, it is possible for human to intercommunicate with objects and objects to objects. Also, the IoT provides artificial intelligent service mixed with knowledge of situational awareness. One of the industries based on the IoT is a car industry. Nowadays, a self-driving vehicle which is not only fuel-efficient, smooth for traffic, but also puts top priority on eventual safety for humans became the most important conversation topic. Since several years ago, a research on the recognition of the surrounding environment for self-driving vehicles using sensors, lidar, camera, and radar techniques has been progressed actively. Currently, based on the WAVE (Wireless Access in Vehicular Environment), the research is being boosted by forming networking between vehicles, vehicle and infrastructures. In this paper, a research on the recognition of a traffic signs on highway was processed as a part of the awareness of the surrounding environment for self-driving vehicles. Through the traffic signs which have features of fixed standard and installation location, we provided a learning theory and a corresponding results of experiment about the way that a vehicle is aware of traffic signs and additional informations on it.