• 한국ITS학회 논문지
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• 제23권1호
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• pp.182-196
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• 2024

자동차 보급과 교통 시설 발달로 인한 문제에 대응하여, ADAS와 같은 운전 보조 기술이 주목받고 있다. 최근에는 스마트폰 내장 센서를 사용한 운전패턴 분석 방법론이 개발되었다. 이 연구에서는 레이블 없이 대조학습을 통해 운전패턴의 특징을 학습하고 변화점을 감지하는 새로운 방법을 제안한다. 이 방법은 운전패턴 분류에도 확장 가능하여, 매우 적은 레이블링 데이터만으로 높은 분류 성능을 달성할 수 있음은 물론 적용 차량이 달라지는 도메인 변화 문제에 민감하게 반응하지 않아 일반화된 성능을 달성할 수 있다는 장점을 가지고 있다. 또한 본 연구에서는 추후 스마트폰 적용성을 고려하여 6가지 대표적인 경량화 딥러닝 모델에 대해 제안하는 방법을 적용하고 비교분석하여 추후 스마트폰 기반의 시스템 개발에 활용할 수 있도록 하였다.

• 자동차안전학회지
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• 제7권3호
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• pp.30-34
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• 2015

This study examined the Korean drivers' acceptance of SAS(Speed Assistance systems) and traffic sign conditions in Korea roads for SLIF(Speed Limit Information Function) that is a part of SAS. Exceeding the speed limit is a factor in the severity of many road accidents and SAS would help the driver to observe a speed limit by warning and/or effectively limiting the speed of the vehicle. SAS are in the initial phase in Korea, Korean drivers could not be familiar with automatical speed limiting during driving, SAS interface design would be considered to be more readily acceptable to the public. And advanced SAS have been introduced onto the market which are able to inform the driver of the current speed limit based on camera and/or digital maps based SLIF. These systems are based on external data using sensors, so environmental conditions are an important factor which could cause malfunction of SLIF functions.

• 자동차안전학회지
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• 제7권4호
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• pp.26-30
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• 2015

Exceeding the speed limit during vehicle driving is a key factor in the severity of lots of road accidents, and SLIF(Speed Limit Information Function) application is in the initial phase in Korea. SLIF helps the drivers to observe a speed limit when they are driving by providing alert and informing the current limit speed information based on external data using camera and/or digital map, for that reason, environmental conditions could be causes of SLIF malfunctions. In this study, design adequacy analysis of SLIF in respect of false recognition as the Korea traffic environment has been performed. As tentative results, road conditions and structure of speed limit sign as well as system performance often caused misrecognition.

• 한국정밀공학회지
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• 제21권4호
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• pp.88-94
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• 2004

Recently, vehicle simulators are widely used to evaluate driver's responses and driver assistance systems. It needs much effort to construct the virtual driving environment for a vehicle simulator. In this study, it is described how to make effectively the roads and the driving environment for a vehicle simulator. The GIS (Geographic Information System) is used to construct the roads and the environment effectively. Because the GIS is the integrated system of geographical data, it contains useful data to make virtual driving environment. First, the outline and centerline of roads is abstracted from the GIS. From the road outline, the road width is calculated. Using the centerline, the grid model of roads is constructed. The final graphic model of roads is constructed by mapping road image to the grid model according to the number of lanes and the kind of surface. Data of buildings from the GIS are abstracted. Each shape and height of buildings is determined according to kind of buildings, the final graphic model of buildings is constructed. Then, the graphic model of roadside tree is also constructed. Finally, the driving environment for driving simulator is constructed by converting the three graphic models with the graphic format of Direct-X and by joining the three graphic models.

• International Journal of Precision Engineering and Manufacturing
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• 제6권4호
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• pp.3-7
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• 2005

Recently, vehicle simulators are widely used to evaluate driver s responses and driver assistance systems. It needs much effort to construct the virtual driving environment for a vehicle simulator. In this study, it is described how to make effectively the roads and the driving environment for a vehicle simulator. GIS (Geographic Information System) is used to construct the roads and the environment effectively. Because the GIS is the integrated system of geographical data, it contains useful data to make virtual driving environment. First, boundaries and centerlines of roads are extracted from the GIS. From boundaries, the road width is calculated. Using centerlines, mesh models of roads are constructed. The final graphic model of roads is constructed by mapping road images to those mesh models considering the number of lanes and the kind of surface. Data of buildings from the GIS are extracted. Each shape and height of building is determined considering the kind of building to construct the final graphic model of buildings. Then, the graphic model of roadside trees is constructed to decide their locations. Finally, the driving environment for driving simulator is constructed by converting the three graphic models with the graphic format of Direct-X and by joining the three graphic models.

• 한국자동차공학회논문집
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• 제24권2호
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• pp.255-263
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• 2016

Lane Keeping Assistance System (LKAS) is a kind of Advanced Driver Assistance Systems (ADAS) which are developed to automate/ adapt/ enhance vehicle systems for safety and better driving. The main system function of LKAS is to support the driver in keeping the vehicle within the current lane. LKAS acquires information on the position of the vehicle within the lane and, when required, sends commands to actuators to influence the lateral movement of the vehicle. Recently, the vehicles equipped with LKAS are commercially available in a few vehicle-advanced countries and the installation of LKAS increases for safety enhancement. The test procedures for LKAS evaluations are being discussed and developed in the international committees such as ISO (the International Organization for Standardization) and UNECE (United Nations Economic Commission for Europe). In Korea, the evaluations of LKAS for vehicle safety are planned to be introduced in 2016 KNCAP (Korean New Car Assessment Program). Therefore, the test procedures of LKAS suitable for domestic road and traffic conditions, which accommodate international standards, should be developed. In this paper, some bullet points of the test procedures for LKAS are discussed and proposed by extensive researches of previous documents and reports, which are released in public in regard to lateral test procedures including LKAS and Lane Departure Warning System (LDWS). And then, to evaluate the validity of the proposed test procedures, a series of experiments were conducted using commercially available two vehicles equipped with LKAS. Later, it can be helpful to make a draft considering domestic traffic situations for test procedures of LKAS.

• Advances in Automotive Engineering
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• 제1권1호
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• pp.143-152
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• 2018

In this study an economical image stitching algorithm for use in automotive industry is developed for retrofittable panoramic image assistance applications. The aim of this project is to develop a driving assistance system known as Panoramic Parking Assistance (PPA) which is cheap, retrofittable and compatible for every type of automobiles. PPA generates bird's eye view image using cameras installed on the automobiles. Image stitching requires to get bird's eye view position of the vehicle. Panoramic images are wide area images that cannot be available by taking one shot, attained by stitching the overlapping areas. To achieve correct stitching many algorithms are used. This study includes some type of these algorithms and presents a simple one that is economical and practical. Firstly, the mathematical model of a wide view of angle camera is provided. Then distorted image correction is performed. Stitching is implemented by using the SIFT and SURF algorithms. It has been seen that using such algorithms requires complex image processing knowledge and implementation of high quality digital processors, which would be impracticle and costly for automobile use. Thus a simpler algorithm has been developed to decrase the complexity. The proposed algorithm uses one matching point for every couple of images and has ease of use and does not need high power processors. To show the efficiency, images coming from four distinct cameras are stitched by using the algorithm developed for the study and usability for automotive application is analyzed.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2021년도 추계학술대회
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• pp.637-639
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• 2021

자율주행 연구가 활발히 진행되면서 ADAS(Advanced Driver Assistance System)에서 차량의 위치를 파악하고 경로를 유지하는데 차선 검출은 필수적인 기술이다. 차선 검출은 허프 변환과 RANSAC(Random Sample Consensus)과 같은 영상처리 알고리즘을 이용하여 검출한다. 본 논문은 라즈베리파이3 B+에 OpenCV를 이용하여 선형 도형 검출 알고리즘을 구현하고 있다. OpenCV 가우시안 블러 구조와 캐니 에지 검출을 통해 문턱값을 설정하였고, 선형 검출 알고리즘을 통한 차선 인식에 성공하였다.

• 한국CDE학회논문집
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• 제19권3호
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• pp.272-280
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• 2014

Most of the car navigation systems pzrovide 2D or 3D virtual map-based driving guidance. One of the important issues is how to reduce cognitive burden to the driver who should interpret the abstracted information to real world driving information. Recently, an augmented reality (AR)-based navigation is considered as a new way to reduce cognitive workload by superimposing guidance information into the real world scene captured by the camera. In particular, head-up display (HUD) is popular to implement AR navigation. However, HUD is too expensive to be set up in most cars so that the HUD-based AR navigation is currently unrealistic for navigational assistance. Meanwhile, smartphones with advanced computing capability and various sensors are popularized and also provide navigational assistance. This paper presents a research on cognitive effect and responsiveness of an AR navigation by a comparative study with a conventional virtual map-based navigation on the same smartphone. This paper experimented both quantitative and qualitative studies to compare cognitive workload and responsiveness, respectively. The number of eye gazing at the navigation system is used to measure the cognitive effect. In addition, questionnaires are used for qualitative analysis of the responsiveness.

• 한국ITS학회 논문지
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• 제15권4호
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• pp.81-90
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• 2016

자율주행 차량은 변화하는 도로환경에 스스로 대응 가능하여야 하여, 인간 운전자 수준의 도로환경 인지성능을 확보하여야 한다. 자율주행 차량의 센서 중 영상센서는 주행방향 결정 및 차로이탈 방지 등 조향제어 수행을 위하여 차선인식 기능을 수행한다. 현재 제시된 영상센서의 차선인식 성능기준은 ADAS(Advanced Driver Assistance System)과 관련된 '운전자 보조' 관점의 성능기준으로서, 자율주행 차량의 '주체적 인지'를 위한 성능조건과 상이할 것으로 판단된다. 본 연구에서는 자율주행 시 차선인식이 비정상적으로 지속되어, 직선구간에서 곡선구간으로 진입하는 차량이 조향실패에 따라 차로를 이탈하는 상황을 가정하였다. 차량 이동궤적을 기반하여 차로이탈 상황을 모형화하고, 차로이탈 허용 수준에 따른 자율주행 차량 영상센서 성능수준을 제시하였다. 분석 결과 승용차 조건에서 차선인식 기능이 1초 이상 연속적인 오작동을 일으킨다면 차로이탈에 의한 위험한 상황에 놓일 수 있으며, 자율주행 차량을 위하여 현재 ADAS 영상센서 성능평가 방법에서의 차로이탈조건보다 심각한 차로이탈상황을 고려한 영상센서 성능평가 방안이 필요할 것으로 판단된다.