• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.1129-1130
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• 2023

본 논문에서는 신규 차량 안전성 평가를 위한 ADAS 시뮬레이션 상에서 곡선 궤적을 효과적으로 생성할 수 있는 MATLAB 스크립트를 구현하였다. 본 연구를 통해 곡선 궤적 좌표를 생성하고 수작업으로 대입하는 과정을 간소화할 수 있으며, 또한 다른 시나리오에서 적용할 곡선 궤적을 편리하게 생성할 수 있을 것으로 기대한다.

• Journal of IKEEE
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• v.22 no.1
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• pp.143-148
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• 2018

In this paper, a novel turn signal indication scheme is proposed and implemented to handle the turn signal of a vehicle automatically. By adopting accelerometer for the motion recognition of vehicle's momentum, the proposed way could control and manage turn signals according to the moving direction of a car when a driver forgot handling turn signal lever. The designed control system is plugged into the motorbike and tested to demonstrate improved driver's safety suitable for ADAS.

• Journal of Auto-vehicle Safety Association
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• v.4 no.1
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• pp.12-17
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• 2012

ADAS(Advanced Driver Assistance System) which is developed for alleviating driver's load has become improved with extending it's role. Previously, ADAS offered simple function just to make driver's convenience. However, nowadays ADAS also acts as Active Safety system which is made to release and/or prevent accidents. Longitudinal control system, as one of major parts of Active Safety System, is assessed as doing direct effect on avoiding accidents. Therefore, many countries such as Europe and America has pushed longitudinal control system as a government-wide project. In this paper, it covers the result of evaluation system and vehicle evaluation for development study in FCW, ACC and AEB.

• Steel and Composite Structures
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• v.16 no.5
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• pp.533-557
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• 2014

In this study, the performances of the SMRF building equipped with energy dissipating devices are studied. Three types of these structures with different heights are considered. The Added Damping and Stiffness (ADAS) devices are used as energy dissipating devices in these structures. The behavior of these structures with ADAS devices subjected to near source ground motions are investigated. Three SMRF buildings with five, ten and fifteen-story, with ADAS devices were chosen. The nonlinear time history analysis was used by applying the near source ground motions with PERFORM 3D.V4 and conclusions are drawn upon an energy criterion. The effect of PGA variation and height of the frames are also considered based on the energy criterion.

• 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 the Ergonomics Society of Korea
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• v.36 no.2
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• pp.87-108
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• 2017

Objective: The purpose of this study was to precede the acceptance study based on automation steps and user experience that was lacked in the past study on the core technology of autonomous vehicle, ADAS. The first objective was to construct the acceptance model of ADAS technology that is the core technology, and draw factors that affect behavioral intention through user experience-based evaluation by applying driving simulator. The second one was to see the change of factors on automation step of autonomous vehicle through the UX/UA score. Background: The number of vehicles with the introduction of ADAS is increasing, and it caused change of interaction between vehicle and driver as automation is being developed on the particular drive factor. For this reason, it is becoming important to study the technology acceptance on how driver can actively accept giving up some parts of automated drive operation and handing over the authority to vehicle. Method: We organized the study model and items through literature investigation and the scenario according to the 4 stages of automation of autonomous vehicle, and preceded acceptance assessment using driving simulator. Total 68 men and woman were participated in this experiment. Results: We drew results of Performance Expectancy (PE), Social Influence (SI), Perceived Safety (PS), Anxiety (AX), Trust (T) and Affective Satisfaction (AS) as the factors that affect Behavioral Intention (BI). Also the drawn factors shows that UX/UA score has a significant difference statistically according to the automation steps of autonomous vehicle, and UX/UA tends to move up until the stage 2 of automation, and at stage 3 it goes down to the lowest level, and it increases a little or stays steady at stage 4. Conclusion and Application: First, we presented the acceptance model of ADAS that is the core technology of autonomous vehicle, and it could be the basis of the future acceptance study of the ADAS technology as it verifies through user experience-based assessment using driving simulator. Second, it could be helpful to the appropriate ADAS development in the future as drawing the change of factors and predicting the acceptance level according to the automation stages of autonomous vehicle through UX/UA score, and it could also grasp and avoid the problem that affect the acceptance level. It is possible to use these study results as tools to test validity of function before ADAS offering company launches the products. Also it will help to prevent the problems that could be caused when applying the autonomous vehicle technology, and to establish technology that is easily acceptable for drivers, so it will improve safety and convenience of drivers.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.11
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• pp.550-560
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• 2018

Many countries have provided support for research and development and implemented policies for Advanced Driver Assistance Systems (ADAS) for enhancing the safety of vehicles. With such efforts, the toll of casualties due to traffic accidents has decreased gradually. Korea has exhibited the lowest toll of casualties due to traffic accidents and is ranked 32nd in mortality among the 35 OECD members. Traffic accidents typically fall into three categories depending on the cause of the accident: vehicle to vehicle (V2V), vehicle to pedestrian (V2P), and vehicle independent. Most accidents are caused by drivers' mistakes in recognition, judgment, or operation. ADAS has been proposed to prevent and reduce accidents from such human errors. Moreover, the global automobile industry has recently been developing various safety measures, but on-road tests are still limited and contain various risks. Therefore, this study investigated the international standards for evaluation tests with regard to the assessment techniques in braking capability to cope with the limitations of on-road tests. A theoretical formula for braking force and a control algorithm are proposed, which were validated by comparing the results with those from an on-road test. These results verified the braking force depending on the functions of ADAS. The risks of on-road tests can be reduced because the proposed theoretical formula allows a prediction of the tendencies.

• Journal of Institute of Control, Robotics and Systems
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• v.19 no.8
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• pp.718-724
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• 2013

In today's automotive industry, there exist several systems that help drivers reduce the possibility of accidents, such as the ADAS (Advanced Driver Assistance System). The ADAS helps drivers make correct and quick decisions during dangerous situations. This study analyzed the performance of the IMM (Interacting Multiple Model) method based on multiple Kalman filters using the data acquired from a driving simulator. An IMM algorithm is developed to identify the current discrete state of neighboring vehicles using the sensor data and the vehicle dynamics. In particular, the driving modes of the neighboring vehicles are classified by the cruising and maneuvering modes, and the transition between the states is modeled using a Markovian switching coefficient. The performance of the IMM algorithm is analyzed through realistic simulations where a target vehicle executes sudden lane change or acceleration maneuver.

• Journal of Ginseng Research
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• v.31 no.1
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• pp.51-53
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• 2007

Ginseng shows protective and trophic effects in neurodegenerative diseases in experimental models, and showed cognitive improvement in normal population. To investigate the efficacy of ginseng in patients with Alzheimer's disease, patients, who met NINDS-ADRDA criteria for AD were studied Subjects were randomly assigned to ginseng group and control group, and ginseng group was treated with Korean white ginseng powder (4.5 g/day) for 12 weeks. Efficacy variables included changes in mini-mental status exam (MMSE) and cognitive subscales of Alzheimer's disease assessment scale (ADAS-cog) at 4 weeks and 12 weeks. Baseline MMSE and ADAS scores showed no difference between the two groups. Results showed that ginseng improved ADAS-cog compared to the control group at 12 weeks (p<0.05). MMSE was also increased by ginseng treatment compared to the control at 12 weeks (p<0.01). This study suggests the symptomatic efficacy of ginseng in patients with Alzheimer's disease.

• Journal of Auto-vehicle Safety Association
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• v.11 no.4
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• pp.39-49
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• 2019

Autonomous vehicle is a car which drives itself without any human interaction. SAE provides technical definitions for autonomous and international standards for test evaluation. Accordingly, automobile industry is actively researching development and evaluation of various ADAS (Advanced Driver Assistance Systems), : representative technology of autonomous technology. Recently, ADAS is in the commercialization level such as ACC, LKAS, AEB, and HDA etc. And it also has issues about safety evaluation. The purpose of HDA in ADAS is reduced the driving load on highway. It has a function which can maintain lane keeping and control distance from forward vehicle. This function is evaluated to be useful for accident prevention. Therefore, this paper proposes the safety evaluation scenario of HDA, considering the domestic highway design criteria and the situation that may arise on the actual highway. We compared and analyzed the data acquired through simulation and actual vehicle test. And verified the reliability of the proposed safety evaluation scenario. The verified result is expected safety evaluation of HDA is possible even under the bad condition, which cannot be tested.