• Proceedings of the Korea Technology Innovation Society Conference
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• 2017.11a
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• pp.1019-1067
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• 2017

2016년 다보스포럼에서 클라우드 슈밥이 언급한 '제4차 산업혁명'은 우리의 삶을 획기적으로 바꾸고 있으며, 그 정점에 자율주행자동차가 이 시대의 화두로 떠오르고 있다. 그러나 우리나라에서 자율주행자동차가 성공적으로 도입 및 정착되기까지는 아직 극복해야 할 과제들이 많이 있다. 특히 '인간' 중심의 법제도를 '인공지능'이 포함된 법제도로 패러다임을 변화해야 할 것이다. 자율주행자동차 시대의 안정적 운용을 위해서는 사람중심의 입법체계에 대한 획기적인 변화가 필요하다. 즉, 자율주행자동차를 운행하는 운행주체가 누구인지(무엇인지)와 일반도로에서 일반 자동차와 운행이 가능한지 여부, 교통사고 발생 시 민형사상 책임 문제, 자율주행자동차 관련 보험 문제, 개인정보수집과 이용에 관한 문제, 제3자에 의한 오남용 문제 등을 종합적이고 포괄적으로 검토해야 한다. 본 연구에서는 도로교통 관련 국내 법률, 해외 법제 현황, 자율주행자동차 관련 법적 쟁점 등을 검토하여 입법론적 관점에서 자율주행자동차 운행 시 발생하는 제반 법적 문제 해결을 위한 별도의 법안 신설을 제안하며 그 법안에 대한 내용을 제시하였다.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2017.05a
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• pp.489-497
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• 2017

사물 인터넷, 클라우드 컴퓨팅, 인공지능, 빅데이터 등 첨단 정보통신기술을 활용하여 모든 사물들의 지능화와 초연결을 지향하는 것을 나타내는 4차 산업혁명에 대한 관심은 나날이 증가하고 있다. 4차 산업혁명과 관련된 다양한 분야의 기술들 중에서 인공지능을 활용한 자율주행자동차 기술과 관련하여 논의를 진행하고자 한다. 여러 국가에서는 자율주행자동차 시장선점을 위해 관련 기술의 발달에 몰두하고 있다. 그러나 자율주행자동차의 상용화를 위해서는 기술의 발달뿐만 아니라 관련 법제도의 정비가 더욱 필수적인 요소라고 본다. 자율주행자동차가 안전성을 보장할 수 있도록 시험운행에 대한 규제를 완화시켜야 할 것이며, 향후 상용화가 될 경우 야기될 수 있는 민사적 손해배상문제와 형사책임의 문제, 과실책임의 문제, 사이버 보안문제 등을 대비할 수 있는 법제도 마련을 촉구하고자 한다. 타국가와의 자율주행자동차 법제도 비교분석을 통해 우리나라의 도로교통법과 기존 법 제정상태를 고려하여 법안 마련에 방향성을 설정하는 데에 목표를 두고 있다.

• Electronics and Telecommunications Trends
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• v.32 no.4
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• pp.40-47
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• 2017

자율주행 맵은 도로의 주행환경 정보(차로, 도로 마크, 신호등의 위치 등)와 시간에 따라 변화하는 동적 주행환경 정보(장애물 출현, 일시적인 통행제한, 긴급한 도로 복구, 교차로 교통혼잡 등)로 구성된다. 자율주행 맵 생성 및 갱신 기술은 차로 구분선이나, 도로 교통과 관련된 실시간 갱신 주기 측면에서 더욱 세밀하고, 정확한 위치 정보가 요구되며, 또한, 최신성을 유지하는 기능을 가진다. 이러한 고정밀 지도의 세밀함과 정확성, 최신성은 자율주행 서비스를 위해 요구되는 필수적인 요소이다. 클라우드와 연계하여 생성되는 자율주행 맵은 차량 운행 시 수집되는 정보를 클라우드에 축적하여 가공함으로써, 시간과 인력 투입을 통해 데이터를 취득하고 지도를 구축하는 면에서 작업 품을 효과적으로 개선하는 데 도움이 된다. 유지와 보수 측면에서는 정기적으로 또는 신속하게 갱신하여 최신의 정보를 유지하는 장점이 있다. 본고에서는 자율주행 맵을 생성하고 갱신하는 클라우드 연계 플랫폼과 연구 결과 일부를 소개한다.

• Journal of the Korean Association of Geographic Information Studies
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• v.26 no.4
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• pp.161-172
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• 2023

Autonomous driving vehicles recognize the surroundings through various sensors mounted on the vehicle and control the vehicle based on the collected information. The level of autonomous driving technology is improving due to the development of sensor technology and algorithms that process collected data, but the implementation of perfect autonomous driving technology has not been achieved. To overcome these limitations, through autonomous cooperative driving centered on infrastructure. In this study, developed a position correction sign that provides a reference for positioning of autonomous vehicles. First of all, an analysis was performed on the current status of positioning technology for autonomous driving. And measure the number of point clouds for the 1st sample consisting of two square reflective surfaces and 2nd sample that increased the vertical length of each reflective surface. Experimental results show that both primary and secondary products are installed at least 15 m apart It could be recognized as a sensor, and it was confirmed that the secondary production that increased the length of the top and bottom had a higher number of point clouds than the primary production and better expressed the shape of the facility.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.19 no.6
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• pp.222-234
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• 2020

Autonomous vehicles are equipped with a wide rage of sensors such as GPS, RADAR, LIDAR, camera, IMU, etc. and are driven by recognizing and judging various transportation systems at intersections in the city. The accident ratio of the intersection of the autonomous vehicles is 88% of all accidents due to the limitation of prediction and judgment of an area outside the sensing distance. Not only research on non-signalized intersection collision avoidance strategies through V2V and V2I is underway, but also research on safe intersection driving in failure situations is underway, but verification and fragments through simple intersection scenarios Only typical V2V failures are presented. In this paper, we analyzed the architecture of the V2V module, analyzed the causal factors for each V2V module, and defined the failure mode. We presented intersection scenarios for various road conditions and traffic volumes. we used the ISO-26262 Part3 Process and performed HARA (Hazard Analysis and Risk Assessment) to analyze the risk of autonomous vehicle based on the simulation. We presented ASIL, which is the result of risk analysis, proposed a monitoring concept for each component of the V2V module, and presented monitoring coverage.

• Science of Emotion and Sensibility
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• v.22 no.4
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• pp.15-30
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• 2019

The reduction of traffic accidents is a primary potential benefit of autonomous vehicles (AVs). However, the prevalence of AVs also arouses a key question: to what extent should a human wrest control back from AVs? Specifically, in an unavoidable situation of emergency, should an AV be able to decide between the safety of its own passengers and endangered pedestrians? Should AV programming include well-accepted decision rules about actionsto take in hypothetical situations? The current study (N = 103) examined individual/situational variables that could perform critical decision-making roles in AV related traffic accidents. The individual variable of attitudes toward AVs was assessed using the Self-driving Car Acceptance Scale. To investigate situational influences on decisional processes, the study's participants were assigned to one of two groups: the achievement value was activated in one group and the benevolence value was triggered in the other through the use of a sentence completion task. Thereafter, participants were required to indicate who should be protected from injury: the passengers of the concerned AV, or endangered pedestrians. Participants were also asked to record the extent to which they intended to buy an AV programmed to decide in favor of the greater good according to Utilitarian principles. The results suggested that participants in the "achievement value: driver perspective" groupexpressed the lowest willingness to sacrifice themselves to save several pedestrians in an unavoidable traffic accident. This group of participants was also the most reluctant to buy an AV programmed with utilitarian rules, even though there were significant positive relationships between members' acceptance of AVs and their expressed intention to purchase one. These findings highlight the role of the decisional processes involved in the "achievement value" pertaining to AVs. The paper finally records the limitations of the present study and suggests directions for future research.

• Journal of the Korea Convergence Society
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• v.9 no.1
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• pp.253-259
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• 2018

The Korea Convergence Society. Recently, as the 4th industrial revolution is rising, there are many changes in various field of industries. Among these industries, autonomous vehicles based on artificial intelligence, big data and internet of things is one of the most promising industry. Autonomous vehicle stray from classical car domain of manufacturers and suppliers, IT/Electronics suppliers and communication companies are widen their business area to autonomous vehicle technology. In this paper, we analysis the state of art of autonomous vehicle technology and development direction of industries/research institute. Finally, we discuss the social/economic effects of autonomous vehicle.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.44 no.1
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• pp.63-73
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• 2024

Autonomous vehicles at Levels 3 to 5, currently under global research and development, seek to replace the driver's perception, judgment, and control processes with various sensors integrated into the vehicle. This integration enables artificial intelligence to autonomously perform the majority of driving tasks. However, autonomous vehicles currently obtain temporary driving permits, allowing them to operate on roads if they meet minimum criteria for autonomous judgment abilities set by individual countries. When autonomous vehicles become more widespread in the future, it is anticipated that buyers may not have high confidence in the ability of these vehicles to avoid hazardous situations due to the limitations of temporary driving permits. In this study, we propose a method for grading the judgment abilities of autonomous vehicles based on a driving simulator experiment comparing and evaluating drivers' abilities to avoid hazardous situations. The goal is to derive evaluation criteria that allow for grading based on specific scenarios and to propose a framework for grading autonomous vehicles. Thirty adults (25 males and 5 females) participated in the driving simulator experiment. The analysis of the experimental results involved K-means cluster analysis and independent sample t-tests, confirming the possibility of classifying the judgment abilities of autonomous vehicles and the statistical significance of such classifications. Enhancing confidence in the risk-avoidance capabilities of autonomous vehicles in future hazardous situations could be a significant contribution of this research.

• Information and Communications Magazine
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• v.33 no.4
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• pp.34-40
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• 2016

본고에서는 스마트 카/자율주행에서 스마트 폰과의 연결성에 대해 알아본다. 2008년 스마트폰이 막 등장한 시점에 자동차와의 연결에 대해 연구를 진행했던 당시에는 매우 획기적인 일이었지만 이제는 스마트폰과 스마트카는 연동되는 것이 당연한 시대가 되었다. 스마트폰의 기능 중 자동차와 연동하는 기능이 제공되기 시작했고 스마트 카의 핵심기능으로 마케팅 아이템으로도 사용되고 있다. 차량과 스마트 폰 연결성의 표준화 동향과 스마트 폰 플랫폼 사와 자동차 제조사간의 영역 다툼에 대해서도 살펴보고, 다가올 무인주행시대에서 스마트 폰의 역할에 대해 전망해 본다. 마지막으로 스마트 카와 자율주행 차의 컨테츠로 자율주행 네비게이션과 멀티미디어 컨텐츠에 대해서도 알아본다.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.21 no.6
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• pp.250-265
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• 2022

Positive effects such as significantly reducing traffic accidents caused by human error can be expected by the introduction of Automated vehicles (AV). However, as new traffic safety issues are expected to occur in the future due to errors in H/W or S/W of autonomous vehicles and lack of its function, it is necessary to establish a scenario to evaluate the driving safety of AV. Therefore, in this study, functional scenario was developed to evaluate the driving safety of AV based on traffic accident data of the National Police Agency. Using the GIS program, QGIS, traffic accident data that occurred in the toll gate and ramp sections of expressway were extracted and accident summary items were checked to classify the types of accident. In addition, based on the results of accident type classification, functional scenario were developed that contains various dangerous situations in the tollgate and ramp sections.