• 로봇학회논문지
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• 제13권1호
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• pp.38-44
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• 2018

In this paper, we propose Intelligent Driver Assistance System (I-DAS) for driver safety. The proposed system recognizes safety and danger status by analyzing blind spots that the driver cannot see because of a large angle of head movement from the front. Most studies use image pre-processing such as face detection for collecting information about the driver's head movement. This not only increases the computational complexity of the system, but also decreases the accuracy of the recognition because the image processing system dose not use the entire image of the driver's upper body while seated on the driver's seat and when the head moves at a large angle from the front. The proposed system uses a convolutional neural network to replace the face detection system and uses the entire image of the driver's upper body. Therefore, high accuracy can be maintained even when the driver performs head movement at a large angle from the frontal gaze position without image pre-processing. Experimental result shows that the proposed system can accurately recognize the dangerous conditions in the blind zone during operation and performs with 95% accuracy of recognition for five drivers.

• 대한치과보철학회지
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• 제43권2호
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• pp.258-263
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• 2005

Statement of problem. Implant screw loosening has been remained a problem in implant prosthodontics. The time needed to insert screw driver into abutment screw head should be shortened for the purpose of decreasing the chair time. Purpose. The purpose of this study was to investigate the effects of the design of abutment screw driver on the amount of time for insertion of screw driver into abutment screw head. Material and methods. Hexagonal and rectangular types of abutment screw drivers were used. The original abutment screw drivers were modified by grinding acute angle of the screw driver tip (modified drivers). Group 1 : hexagonal type abutment screw and original driver Group 2 : hexagonal type abutment screw and modified driver Group 3 : rectangular type abutment screw and original driver Group 4 : rectangular type abutment screw and modified driver UCLA lab analogues were located in acrylic resin block. The angulations of them were 0 and 20 degrees. The times needed for insertion were measured. Group 1 and 3 were used as controls. Results. 1. Group 2 showed shorter insertion time than group 1, regardless of implant angulations (p<.05). 2. Group 4 showed shorter insertion time than group 3, regardless of implant angulations (p<.05). Conclusion. Modified abutment screw drivers required less amount of time to insert screw driver into abutment screw head. Modification of abutment screw driver was beneficial.

• 한국자동차공학회논문집
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• 제15권4호
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• pp.27-32
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• 2007

Head-Up Display system makes it possible for the driver to be informed of important vehicle data such as vehicle speed, engine RPM or navigation data without taking the driver's eyes off the road. Long focal length optics, LCD with bright illumination, image generator and vehicle interface controllers are key parts of head-up display system. All these parts have been designed, developed and applied to the test vehicle. Virtual images are located about 2m ahead of the driver's eye by projecting it onto the windshield just below the driver's line of sight. Developed head-up display system shows satisfactory results for future commercialization.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제13권1호
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• pp.50-58
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• 2013

Estimating a driver's head pose is an important task in driver-assistance systems because it can provide information about where a driver is looking, thereby giving useful cues about the status of the driver (i.e., paying proper attention, fatigued, etc.). This study proposes a system for estimating the head pose using monocular images, which includes a novel use of backprojection. The system can use a single image to estimate a driver's head pose at a particular time stamp, or an image sequence to support the analysis of a driver's status. Using our proposed system, we compared two previous pose estimation approaches. We introduced an approach for providing ground-truth reference data using a mannequin model. Our experimental results demonstrate that the proposed system provides relatively accurate estimations of the yaw, tilt, and roll angle. The results also show that one of the pose estimation approaches (perspective-n-point, PnP) provided a consistently better estimate compared to the other (pose from orthography and scaling with iterations, POSIT) using our proposed system.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권8호
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• pp.3820-3841
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• 2018

Most of the accidents occur due to drowsiness while driving, avoiding road signs and due to driver's distraction. Driver's distraction depends on various factors which include talking with passengers while driving, mood disorder, nervousness, anger, over-excitement, anxiety, loud music, illness, fatigue and different driver's head rotations due to change in yaw, pitch and roll angle. The contribution of this paper is two-fold. Firstly, a data set is generated for conducting different experiments on driver's distraction. Secondly, novel approaches are presented that use features based on facial points; especially the features computed using motion vectors and interpolation to detect a special type of driver's distraction, i.e., driver's head rotation due to change in yaw angle. These facial points are detected by Active Shape Model (ASM) and Boosted Regression with Markov Networks (BoRMaN). Various types of classifiers are trained and tested on different frames to decide about a driver's distraction. These approaches are also scale invariant. The results show that the approach that uses the novel ideas of motion vectors and interpolation outperforms other approaches in detection of driver's head rotation. We are able to achieve a percentage accuracy of 98.45 using Neural Network.

• 자동차안전학회지
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• 제13권1호
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• pp.38-44
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• 2021

This study aimed to verify the criteria of the driver monitoring systems proposed by UNECE ACSF informal working group and the ministry of land, infrastructure, and transport of South Korea using driving behavior data. In order to verify the criteria, we investigated the safety regulations of driver monitoring systems in a conditional autonomous vehicle and found that the driver monitoring measures were related to eye blinks times, head movements, and eye closed duration. Thus, we took two different experimental data including real-world driving and simulator-based drowsy driving behaviors in previous studies. The real-world driving data were used for analyzing blink times and head movement intervals, and the drowsiness data were used for eye closed duration. In the real-world driving study, 52 drivers drove approximately 11.0 km of rural road (about 20 min), 7.9 km of urban road (about 25 min), and 20.8 km of highway (about 20 min). The results suggested that the appropriate number of blinks during the last 60 seconds was 4 times, and the head movement interval was 35 seconds. The results from drowsy driving data will be presented in another paper - part 2.

• 한국응용과학기술학회지
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• 제35권1호
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• pp.273-283
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• 2018

이 연구의 목적은 골프드라이버 샤프트의 가변성이 타구속도, 헤드스피드 및 비거리에 미치는 영향을 분석하고자 하였다. 이 연구에 참여한 피검자는 핸디캡이 0인 남자 프로골퍼 10명과 핸디캡이 18인 남자 아마추어 골퍼 10명으로 하였다. 클럽의 종류는 1번 드라이버로 한정하였고, 각기 다른 스팩의 24개 드라이버를 가지고 실시하였다. 종속변인으로는 타구속도, 비거리 및 헤드스피드로 하였다. 연구 결과 다음과 같은 결과를 얻었다. 첫째, CPM에 따라 유의한 차이가 나는 것으로 밝혀졌고, 사후검증 후 230< 이상일 때 타구속도, 비거리 및 헤드스피드에서 최적의 수행력을 보였다. 둘째, 샤프트길이에 따른 타구속도 및 비거리는 유의한 차이가 나는 것으로 나타났고, 사후검증 후 타구속도 및 헤드스피드는 46inch에서 비거리는 45inch에서 최적의 수행력을 보였다. 셋째, 샤프트 무게에 따른 변인 간 차이는 나지 않았고, 사후검증 후 샤프트 무게가 65g일 때 타구속도와 비거리에서 최적의 수행력을 보였고, 50g일 때 헤드스피드에서 최적을 보였다. 또한 프로와 아마추어 간에는 변인에서 유의한 차이가 나는 것으로 나타났다. 결론적으로 최적의 드라이버는 CPM이 230<, 샤프트길이 46inch, 샤프트 무게가 65g 샤프트 일 때 최고의 수행력을 발휘하는 것으로 판명되었다.

• 자동차안전학회지
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• 제10권2호
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• pp.13-19
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• 2018

The purpose of this study was to evaluate the effect of air bag deployment in passenger car head-on collisions on injuries to the driver. The drivers in head-on collisions who were brought to the emergency rooms of two hospitals from January 2011 and October 2014 were evaluated, as were the vehicles involved. The driver injury level were assessed by utilizing Collision Deformation Classification (CDC) codes, and the Abbreviated Injury Scale (AIS) and Injury Severity Score (ISS), respectively. In this study, it was shown that the chest ISS and AIS were significantly high when an air bag only is deployed. A statistically significant difference was found in the crush extent when the driver who fastened the seatbelt was found to be affected more than the ISS 9. Even when an air bag is deployed in a head-on car collision, injury severity can vary according to accident circumstances and crash severity. Accordingly, first aid can be rapidly given, and the injured person can be quickly referred to a hospital, only if the assessment of persons involved in a vehicle accident is accurately carried out.

• 한국지능시스템학회논문지
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• 제20권3호
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• pp.400-405
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• 2010

본 논문은 차량 안전시스템을 위한 지능형 HUD 시스템의 특성을 고찰하였다. HUD 시스템은 차량에서 향상된 운전자 정보전달과 새로운 지능형 교통시스템을 제공한다. 자동차의 속도, 거리표시, 엔진 RPM, 내비게이션, 엔진 온도, 연료 게이지, 방향지시등, 경고 표시등에 대한 기본적인 정보를 운전자에게 전달한다. 본 논문에서 설계한 지능형 HUD 시스템은 TFT LCD, LCD 백라이트 LED, 평면 미러, 특수 제작된 렌즈 및 구동회로로 구성되었다. 본 논문은 운전자 안전성을 고려한 차량용 지능형 HUD 시스템을 제작, 분석하였다.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2007년도 추계학술대회 논문집
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• pp.523-524
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• 2007