• Journal of Convergence for Information Technology
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• v.9 no.5
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• pp.27-33
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• 2019

Various technical and societal approaches are being made to realize the auto driving (AD) and cooperative driving (CD) including communication network and extended advanced driver support system is under development. In CD, it is important to share the roles of the driver and the system and to secure the stability of the driving, so a efficient interface scheme between the driver and the vehicle is required. This study proposes a research model including driver, system and driving environment considering the role and function of driver and system in CD. An efficient interface between the driver and the vehicle to cope with various driving situations on the CD using the analysis of the driving environment and the research model is also proposed. Through this study, it is expected that the proposed research model and interface scheme could contribute to CD system design, cockpit module development and interface device development.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.18 no.1
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• pp.14-26
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• 2019

For bus drivers' safe driving, a policy that analyzes the causes of the drivers' traffic accidents and then assists their safe driving is required. Therefore, the Ministry of Land, Infrastructure and Transport set up its plan to gradually expand the equipping of commercial vehicles with FCWS (Forward Collision Warning System) and LDWS(Lane Departure Warning System), from the driver-supporting ADAS(Advanced Driver Assistance Systems). However, there is not much basic research on the analysis of bus drivers' traffic accidents in Korea. As such, the time is appropriate to research what is the most necessary ADAS for bus drivers going forward to prevent bus accidents. The purpose of this research is to analyze how serious the accidents were in the different bus routes and whether the accidents were repetitive, and to give recommendations on how to support ADAS for buses, as an improvement. A model of ordered logit was used to analyze how serious the accidents were and as a result, vehicle to pedestrian accidents which directly affected individuals were statistically significant in all of the models, and violations of regulations, such as speeding, traffic signal violation and violation of safeguards for passengers, were indicated in common in several models. Therefore, the pedestrian-sensor system and automatic emergency control device for pedestrian should be installed to reduce bus accidents directly affecting persons in the future, and education for drivers and ADAS are to be offered to reduce the violations of regulations.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.12 no.3
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• pp.65-77
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• 2013

Recent advanced sensors and communication technologies have been widely applied to advanced safety vehicle (ASV) for reducing traffic accident and injury severity. To apply the advanced safety vehicle technologies, it is important to quantify the safety benefits, which is a fundamental for justifying application. This study proposed a methodology for quantifying the effectiveness of the advanced driver assistant system (ADAS), and applied the methodology to lane departure warning system (LDWS) and automatic emergency braking system (AEBS) which are typical advanced driver assistant systems. When the proposed methodology is applied to 2008-2010 gyeonggi-province crash data, LDWS would reduce about 10~14% of relevant crashes such as head-on, run-off-the road, rollover and fixed-object collisions on the road. In addition, AEBS could potentially prevent about 50% of total rear-end crashes. The outcomes of this study support decision making for developing not only vehicular technology but also relevant safety policies.

• Journal of Korea Society of Industrial Information Systems
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• v.24 no.2
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• pp.25-31
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• 2019

As artificial intelligence technology has been developed rapidly, many researchers who are interested in next-generation vehicles have been studying on applying the artificial intelligence technology to advanced driver assistance systems (ADAS). In this paper, a method of applying deep learning algorithm to the lane departure warning system which is one of the main components of the ADAS was proposed. The performance of the proposed method was evaluated by taking a comparative experiments with the existing algorithm which is based on the line detection using image processing techniques. The experiments were carried out for two different driving situations with image databases for driving on a highway and on the urban streets. The experimental results showed that the proposed system has higher accuracy and precision than the existing method under both situations.

• ICROS
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• v.18 no.2
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• pp.21-29
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• 2012

최근 자동차 연구개발에 있어 내연기관을 대체하는 친환경 자동차기술과 더불어 무인자동차, 자율주행기술이 많은 부분에서 시도되고 실현되어가고 있다. 지능형 자동차라는 개념에서 적용되었던 운전자안전보조시스템, 편의지원과 사고경감 시스템 등이 하나로 통합되어 무인자동차 기술로 발전하고 있다. 또 차량에 고가의 센서를 장착하여 주변환경이나 운전자를 모니터링하는 방식에서 IT 융합기술을 이용한 네트워크기술 (V2I, V2V, V2N & V2X)을 접목시키는 방안을 통하여 개개의 차량은 물론 교통체계의 전체적인 변화를 추구하고 있다. 이러한 첨단차량기술은 새로운 교통문화(차량공유시스템, 군집주행)의 개발과 또다른 교통체계의 연구로 확장되어가고 있다.

• Information and Communications Magazine
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• v.30 no.11
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• pp.32-38
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• 2013

2020년 자동차산업의 핵심 키워드는 새로운 교통수단과 이동 서비스를 제공함으로써 새로운 비즈니스의 기회를 창출해야 하는 '이동성의 재발견', 글로벌시장의 다양한 소비자에게 신속하고 효과적으로 대응할 수 있는 시스템을 모색해야 하는 '전방위적 유연성', 미래사회 산업의 패러다임 변화에 대응하기 위해 자동차업체 이외의 new players의 참여를 유도하고 공존할 수 있는 열린 산업문화를 구축해야 하는 '소통과 협력', 미래경쟁력 확보를 위해 핵심기술의 선점과 상품화 노력을 강화해야 하는 '첨단기술의 융합'으로 요약할 수 있다. 그리고 미래 자동차산업의 경쟁력은 자동차 자체를 만드는 기술력 보다는 융합기술을 접목한 신서비스의 소비자 니즈 충족이 관건인 점을 감안할 때, 최근에 관심이 집중되고 있는 스마트카에 대한 적극적인 대처가 미래 자동차산업의 경쟁력을 확보하고 우리나라 자동차산업의 지속 성장을 보장할 수 있다고 판단된다. 이러한 스마트카는 운전자 지원이 중요하고 운전자 수용성, 사회적 수용성, 산업적 수용성의 기본원칙을 만족해야 하며 여기서 운전자 지원의 형태로는 인식의 지원, 판단의 지원, 조작의 지원을 그리고 지원의 기능으로는 크게 지각기능의 확대, 정보제공, 경보, 사고회피 지원제어, 운전부하 경감제어를 들 수 있다. 운전자 수용성이란 스마트카의 다양한 기능들이 가능한한 운전자에게 쉽게 전달되어야 하고 운전자가 이들 기능들을 과신하여 의존하는 일이 발생해서는 안된다는 것을 의미한다. 아울러 스마트카의 기능은 어떤 조건에서 효과가 어느 정도로 기대될까를 분명히 정해둘 필요가 있다. 즉 사회적 측면에서의 표준화, 법규화가 병행되어야 함을 의미하고 이것이 사회적 수용성이라고 할 수 있다. 마지막으로 산업적 수용성이란 자동차 산업은 기존 사업을 지속 성장시키고 new players에게는 새로운 사업에 참여할 수 있는 기회가 정당하게 주어져야 함을 의미한다.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.16 no.5
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• pp.96-108
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• 2017

The current collision warning and avoidance system(CWAS) is one of the representative Advanced Driver Assistance Systems (ADAS) that significantly contributes to improve the safety performance of a vehicle and mitigate the severity of an accident. However, current CWAS mainly have focused on preventing a forward collision in an uninterrupted flow, and the prevention performance near intersections and other various types of accident scenarios are not extensively studied. In this paper, the safety performance of Vision-Sensor (VS) and Radar-Sensor(RS) - based collision warning systems are evaluated near an intersection area with the data from Naturalistic Driving Study(NDS) of Second Strategic Highway Research Program(SHRP2). Based on the VS and RS data, we newly derived sixteen vehicle-to-vehicle accident scenarios near an intersection. Then, we evaluated the detection performance of VS and RS within the derived scenarios. The results showed that VS and RS can prevent an accident in limited situations due to their restrained field-of-view. With an accident prevention rate of 0.7, VS and RS can prevent an accident in five and four scenarios, respectively. For an efficient accident prevention, a different system that can detect vehicles'movement with longer range than VS and RS is required as well as an algorithm that can predict the future movement of other vehicles. In order to further improve the safety performance of CWAS near intersection areas, a communication-based collision warning system such as integration algorithm of data from infrastructure and in-vehicle sensor shall be developed.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.940-942
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• 2023

교통사고 통계에 따르면 비보호 구역 내 도로에서 발생하는 교통사고 발생률이 일반 도로보다 30% 높은 수준임이 밝혀졌다. 기존 첨단 운전자 지원 시스템(ADAS: Advanced Driver Assistance Systems)은 다양한 사고 시나리오가 존재하는 비보호 구역에 적용하기에는 한계가 있다. 본 논문은 이러한 문제에 대응하기 위해 기존 ADAS 기능을 확장하여 예측과 판단이 어려운 비보호 구역에서 AI 분석을 통해 운전자에게 주행 가능 여부를 시각적으로 제공하는 시스템을 개발하고자 한다. 이 시스템은 운전자에게 경고와 지원을 제공함으로써 비보호 구역 내 교통사고를 예방할 수 있다.

• Journal of Korean Society of Transportation
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• v.32 no.4
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• pp.293-302
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• 2014

Recently, advanced sensors and communication technologies have been widely applied to advanced safety vehicles for reducing traffic accidents and injury severity. To apply the advanced safety vehicle technologies, it is important to quantify safety benefits, which is a fundamental for justifying application. This study proposed a methodology for quantifying the effectiveness of the Advanced Driver Assistant System (ADAS) with the Analytic Hierarchy Process (AHP). When the proposed methodology is applied to 2008-2010 Gyeonggi-province crash data, ADAS would reduce about 10.18% of crashes. In addition, Adaptive Cruise Control, Automatic Emergency Braking System, Lane Departure Warning System and Blind Spot Detection System are expected to reduce about 10.43%, 10.17%, 9.96%, and 10.18%, respectively. The outcomes of this study might support decision making for developing not only vehicular technologies but also relevant safety policies.

• Proceedings of the Korean Society of Computer Information Conference
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• 2022.01a
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• pp.317-318
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• 2022

최근 인공지능 기술이 발전함에 따라 자율주행, 첨단 운전자 지원 시스템과 같은 기술들이 개발되고 있다. 이런 기술들은 교통사고를 예방하여 사망률 등을 감소시키고, 운전자의 편의성을 향상시킨다. 본 논문에서는 자율주행과 첨단 운전자 지원 시스템에서 사용할 수 있는 기술들을 개발하고, 이를 RC카에 적용하여 구현하였고, 인공트랙에서 실험하여 평가하였다. 딥러닝 기반 실시간 객체 인식 및 Opencv 를 이용한 차선 인식기술을 통해 차선을 인식하여 이탈하지 않고 주행하며 표지판 등 객체를 인식하여 상황에 따른 대응으로 모터를 제어하는 기술을 개발하고 인공트랙을 자율주행하는 RC카를 구현하고 실험하였다.