• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.2
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• pp.320-326
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• 2009

Providing visual field for a driver is one of the most important things for safe driving. Therefore, it will be a first step fur the safe driving that the driver recognizes front and back outside scenes within short time in the car. Specially, it is essential to take the visual field in frequently foggy area where the traffic accident can cause highest rank in the number of deaths. In this paper, our technique can provide the visual field by displaying the location of neighboring vehicles on the monitoring system, embedded board navigator in the car, using the location information of the vehicles from GPS(Global Positioning System) in real time. It is expected that this system can contribute to help safe driving and to lower collision accidents by guiding to cope with unexpected circumstances.

• Composites Research
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• v.28 no.2
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• pp.65-69
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• 2015

This study dealt with dynamic characteristics by real car crash simulation of composite support structures for road facilities. The effects of different material properties of composites for various car crash speeds are studied using the LS-DYNA finite element program for this study. In this study, the existing finite element analysis of steel support structures using the LS-DYNA program is further extended to study dynamic behaviors of the support structures made of various composite materials. Based on the passenger safety assessment, the numerical results for various parameters are verified by comparing different models with internal energy occurred in the support and car.

• Proceedings of the KAIS Fall Conference
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• 2009.05a
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• pp.628-631
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• 2009

본 논문에서는 당사인 경신공업(주)와 스미토모전장(주)와의 기술제휴를 통한 신제품 개발 프로젝트를 통하여 진행 한 연구 내용이다. 현재 자동차의 주요 부품 중 하나인 Dash-Grommet는 실외에서 실내부로 직부되는 부분으로 방수성이 주요한 성능이다. 이에 따라 현재 방수성 향상을 위해 볼팅으로 씰링을 하는 구조로서 브라켓트를 적용하고 있으며, 볼팅 툴 사용에 따른 홀 위치가 센터로 이동함에 따라 와이어 하네스 성형성을 위해 프로텍터를 적용하고 있다. 이와 관련하여 작업자의 툴 사용에 따른 산업재해(근골격계)요인 및 원가 상승의 원인이 되고 있다. 이에 본 연구에서는 그로멧 씰링구조를 최적화하여 브라켓트를 삭제시키고, 인간 공학적 구조 검토를 통한 저삽입력 구조의 Dash-Grommet 개발에 그 목적을 두었다. 그로멧 3중 씰링 구조를 이용하여 주요 성능인 방수(침수/살수) 성능에 대한 문제를 해결하였으며, 내부 파이프 구조를 이용하여 와이어를 통한 수분 유입에 대한 수밀 대책이 마련 되도록 하였다. 또한, 돌기부 구조를 이용하여 차량 장착시 판넬 접촉면을 최소화 함으로써 실제차량 장착 작업시 저삽입력을 가능하게 하였으며, 이와 더불어 홈부 구조를 이용하여 차량 장착시 그로멧의 수축을 용이하게 함으로써 새로운 그로멧 삽입 메커니즘을 구현하여 기존 대비 40~50%의 저 삽입력 그로멧을 개발할 수 있었다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.14 no.12
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• pp.2670-2674
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• 2010

FlexRay is a new standard of network communication system which provides a high speed serial communication, time triggered bus and fault tolerant communication between electronic devices for future automotive applications. The speed of FlexRay is 10 times higher than that of CAN. In this paper, FlexRay module is implemented using MC9S12XF512 micro-controller and gateway converting CAN message to FlexRay message. It is shown that the implemented system operates successfully.

• Journal of the Institute of Electronics and Information Engineers
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• v.54 no.2
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• pp.3-8
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• 2017

This paper considers an application of distributed antenna system (DAS) to a system of intra-vehicle wireless energy transfer (WET). The intra-vehicle WET system has features such as limited mobility of energy receiver, static channel environment and short distance between transmitter and human body. Under these conditions, location of transmitter highly affects the amount of energy received by human body and the energy received by energy receiving devices. We compare centralized antenna system (CAS) and the DAS in intra-vehicle WET system by simulation. The results show the DAS has superior performance to the CAS.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2009.10a
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• pp.90-93
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• 2009

Recently, CAN(Controller Area Network) being used in vehicle network system is suitable Network Protocol for smart vehicles with a future that need many ECUs, and it guarantees stability and reliability. It is revealed that being equipped many ECU could reduce the increasing of energy consumption and energy cost from the increasing of Wiring Harness's space and weight. In this paper, future smart vehicle control Air conditioner and heater for convenient and comfortable driving as using CAN protocol and implement auto control system According to driver's requirement using temperature in the vehicle.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.31 no.6
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• pp.1279-1290
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• 2021

As vehicle technology has grown, autonomous driving that does not require driver intervention has developed. Accordingly, CAN security, an network of in-vehicles, has also become important. CAN shows vulnerabilities in hacking attacks, and machine learning-based IDS is introduced to detect these attacks. However, despite its high accuracy, machine learning showed vulnerability against adversarial examples. In this paper, we propose a adversarial CAN frame generation method to avoid IDS by adding noise to feature and proceeding with feature selection and re-packet for physical attack of the vehicle. We check how well the adversarial CAN frame avoids IDS through experiments for each case that adversarial CAN frame generated by all feature modulation, modulation after feature selection, preprocessing after re-packet.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.33 no.2
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• pp.325-336
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• 2023

With the development of autonomous driving technology, the number of external contact sensors mounted on vehicles is increasing, and the importance is also rising. The vehicular ultrasonic sensor uses the LIN protocol in the form of a bus topology and reports a status message about its surroundings through the vehicle's internal network. Since ultrasonic sensors are vulnerable to various threats due to poor security protocols, physical testing on actual vehicle is needed. Therefore, this paper developed a LIN-CAN co-analysis testbed with a jig for location-specific distance test to examine the operational relation between LIN and CAN caused by ultrasonic sensors.

• Composites Research
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• v.21 no.4
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• pp.1-6
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• 2008

This paper explains fire safety tests of a hybrid composite train carbody with carbon/epoxy sandwich bodyshell and stainless steel underframe. In this study, a large scale mock-up was used to evaluate the fire safety of the composite train carbody. The test was conducted to the bare composite carbody mock-up without interior facilities and the fully equipped one. Tile fire propagation and temperature distribution of the carbon/epoxy bodyshell and the glass phenol interior panels was evaluated under the real fire accident scenario. The test scenario was based on the DaeGu subway fire accident. From the tests, both the surface temperature of the interiors and the composite bodyshell wore lower than tile ignition temperature. In addition, the fire spread along the surface of the interiors and bodyshell was not occurred.

• The KIPS Transactions:PartB
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• v.13B no.4 s.107
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• pp.353-360
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• 2006

This paper presents a robust algorithm for segmenting a vehicle license plate area from a road image. We consider the features of license plates in three aspects : 1) edges due to the characters in the plate, 2) colors in the plate, and 3) geometric properties of the plate. In the preprocessing step, we compute the thresholds based on each feature to decide whether a pixel is inside a plate or not. A statistical approach is applied to the sample images to compute the thresholds. For a given road image, our algorithm binarizes it by using the thresholds. Then, we select three candidate regions to be a plate by searching the binary image with a moving window. The plate area is selected among the candidates with simple heuristics. This algorithm robustly detects the plate against the transformation or the difference of color intensity of the plate in the input image. Moreover, the preprocessing step requires only a small number of sample images for the statistical processing. The experimental results show that the algorithm has 97.8% of successful segmentation of the plate from 228 input images. Our prototype implementation shows average processing time of 0.676 seconds per image for a set of $1280{\times}960$ images, executed on a 3GHz Pentium4 PC with 512M byte memory.