• Title/Summary/Keyword: drivers' recognition

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An Efficient Broadcast Scheme for Disseminating Emergency Message in Urban Vehicular Ad-Hoc Networks (도심의 차량 네트워크에서 긴급 메시지 전파를 위한 효율적인 브로드캐스트 기법)

  • Lee, Kyu-Chang;Han, Ki-Jun;Cho, Keu-Chul;Baek, Young-Mi;Kim, Jun-Hyung
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.38C no.7
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    • pp.605-611
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    • 2013
  • If an accident vehicle propagates emergency messages to other vehicles close to it, the other drivers may realize and avoid the accident spot. In this letter, we propose a broadcast scheme to propagate emergency messages fast in urban VANETs (Vehicular Ad-Hoc Networks) with the help of GPS (Global Position System). In our scheme, a transmitting vehicle chooses the farthest node as the next relay vehicle to propagate emergency messages. And, we suggest an algorithm for intersection recognition and SCF (Store-Carry-Forward) task by taking advantage of periodic hello packets to reduce the propagation time and enhance the delivery ratio.

Yawn Recognition Algorism for Prevention of Drowsy Driving (졸음운전 방지를 위한 하품 인식 알고리즘)

  • Yoon, Won-Jong;Lee, Jaesung
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2013.10a
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    • pp.447-450
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    • 2013
  • This paper proposes the way to prevent drowsy driving by recognizing drivers eyes and yawn using a front camera. The method uses the Viola-Jones algorithm to detect eyes area and mouth area from detection face region. In the eyes area, it uses the Hough transform to recognize eye circle in order to distinguish drowsy driving. In the mouth area, it determines whether for the driver to yawn through a sub-window testing by applying a HSV-filter and detecting skin color of the tongue. The test result shows that the recognition rate of yawn reaches up to 90%. It is expected that the method introduced in this paper might contribute to reduce the number of drowsy driving accidents.

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Measures to Reduce Traffic Accidents in School Zones using Artificial Intelligence

  • Park, Moon-Soo;Park, Dea-woo
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.05a
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    • pp.162-164
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    • 2022
  • Efforts are being made to prevent traffic accidents within the child protection zone. Efforts are being made to prevent accidents by enacting safety facilities and laws to prevent traffic accidents in the school zone. However, traffic accidents in school zones continue to occur. If the driver can know the situation in the child protection zone in advance, accidents can be reduced. In this paper, we design a camera that eliminates blind spots in school zones and a number recognition camera system that can collect pre-traffic information. Design a LIDAR system that recognizes vehicle speed and pedestrians. Design an LED guidance system that delivers information to drivers without smart devices. We study time series analysis and artificial intelligence algorithms that collect and process pedestrian and vehicle information recognized by cameras and LIDAR. In the artificial intelligence traffic accident prevention system learned by deep learning, before entering the school zone, the school zone information is sent to the driver through the Force Push Service and the school zone information is delivered to the driver on the LED sign. try to reduce accidents.

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A Study on Side and Rear-Side Collision Warning System of Vehicle using Fuzzy Control Algorithms (퍼지 제어 알고리즘을 이용한 차량 후측방 충돌 경보 시스템)

  • 김병기;이화조
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2004.10a
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    • pp.939-943
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    • 2004
  • The side and rear-side collision warning system using fuzzy control algorithms is discussed in this paper. Common rearside warning system has many problems. For example if target vehicle comes into the warning area, it must unconditionally warn. Drivers could be interrupted by it. To solve the problem, I divided measuring area into two sections. One section is blind area of vehicle and the other rear-side area. For blind area, obtained data was filtered inefficient warning signal by using relative velocity method. For rear-side area, a fuzzy logic algorithm is used to recognition of obstacles. According to our experiment relative velocity method and fuzzy logic algorithms were very efficient.

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Pedestrian Crosswalk Design based on the Assessment of Driver Recognition (운전자 인지특성 분석을 통한 횡단보도 디자인 연구)

  • Lee, Juyoung
    • Journal of Environmental Science International
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    • v.29 no.4
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    • pp.361-369
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    • 2020
  • With the increasing role of environmental design in promoting urban safety, new design attempts have been made to improve pedestrian safety in crosswalks. This study proposes an evidence-based design solution for improving crosswalk function by conducting simulations and field experiments. Drivers with more than one-year driving experience participated in this study. Four different crosswalk design patterns were prepared: (1) a zebra pattern, (2) zebra pattern with colored triangles, (3) 3D pattern, and (4) art pattern with unique colors and design. The results supported that the zebra pattern with colored triangles could be the most effective solution for crosswalk design by increasing visibility, attention, deceleration, and landscape aesthetics. This study provided objective data to support the performance of various crosswalk patterns and suggested the need to reevaluate the present crosswalk design guidelines.

A Study on the Safety Culture of Korean National Railway (철도안전문화에 관한 연구)

  • Bhang, Youn-Keun;Wang, Jong-Bae;Moon, Dae-Seop
    • Proceedings of the KSR Conference
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    • 2004.06a
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    • pp.269-276
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    • 2004
  • This study tried to figure out the framework of safety culture in railway industry to analyze root causes of railway incidents and accidents at Korean National Railway. Through the literature survey, authors found some critical dimensions common to railway safety culture such as employees' belief in the managers' management weight on safety and productivity, recognition of safety importance, risk taking attitude, practice of safety meeting before and after doing work, communication between management and employees and among drivers, traffic managers and infrastructure maintenance workers, safety reporting practice, safety and performance appraisal, effectiveness of safety audit, safety training, work place arrangement, incidents and accidents investigation, and safety knowledge management.

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A Study on Rear Lateral Collision Warning System of Vehicle using Fuzzy Control Algorithms (퍼지 제어 알고리즘을 이용한 차량 후측방 충돌 경보 시스템)

  • Kim, Byung-Ki;Han, Seung-Chul;Yi, Hwa-Cho
    • Journal of the Korean Society for Precision Engineering
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    • v.24 no.2 s.191
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    • pp.73-85
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    • 2007
  • The rear lateral collision warning system using fuzzy control algorithms is discussed in this paper. Common rear lateral warning system has many problems. For example if target vehicle comes into the warning area, it must unconditionally warn. Drivers could be interrupted by it. To solve the problem, I divided measuring area into two sections. One section is blind area of vehicle and the other rear lateral area. For blind area, obtained data was filtered inefficient warning signal by using relative velocity method. For rear lateral area, a fuzzy logic algorithm is used to recognition of obstacles. According to our experiment relative velocity method and fuzzy logic algorithms were very efficient.

Recognition of a Close Leading Vehicle Using the Contour of the Vehicles Wheels (차량 뒷바퀴 윤곽선을 이용한 근거리 전방차량인식)

  • Park, Kwang-Hyun;Han, Min-Hong
    • Journal of Institute of Control, Robotics and Systems
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    • v.7 no.3
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    • pp.238-245
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    • 2001
  • This paper describes a method for detecting a close leading vehicle using the contour of the vehi-cles rear wheels. The contour of a leading vehicles rear wheels in 속 front road image from a B/W CCD camera mounted on the central front bumper of the vehicle, has vertical components and can be discerned clearly in contrast to the road surface. After extracting positive edges and negative edges using the Sobel op-erator in the raw image, every point that can be recognized as a feature of the contour of the leading vehicle wheel is determined. This process can detect the presence of a close leading vehicle, and it is also possible to calculate the distance to the leading vehicle and the lateral deviation angle. This method might be useful for developing and LSA (Low Speed Automation) system that can relieve drivers stress in the stop-and-go traffic conditions encoun-tered on urban roads.

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A Study on Development Evaluation Modeling Internal Landscape in Tunnel Considering Human Sensitivity Engineering (감성공학을 고려한 터널 내부경관 평가 모형개발에 관한 연구)

  • Wang, Yi-Wau;Kum, Ki-Jung;Son, Seung-Neo;Yu, Jai-Sang
    • International Journal of Highway Engineering
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    • v.12 no.1
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    • pp.9-20
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    • 2010
  • This study was intended to identify, among various characteristics of tunnel, the relationship between the design factors comprising the driver's psychological stability, easiness and the sensitivity and then to suggest the mechanism for evaluating the tunnel view, and to that end, the study attempted to evaluate the relations between the physical elements comprising the tunnel shape and the variation of driver's emotional recognition, thereby proposing the measures to create the scenic environment. As a result of LISREL modeling to identify the characteristics of emotional recognition to tunnel view, the elements affecting tunnel view appeared to be emotional image created by the combination of elements comprising the tunnel view. Such emotional image can be explained by design elements and individual characteristics, and the effect of design element appeared to be greater than individual characteristics. The relations between individual characteristics and design element appeared to be positive (+) and the relations between the "safety" and "variability" was significant. And the "safety" have had greater effect on view recognition than "variability", indicating that the drivers tend to give more importance to "safety", but also require the "variability"on the other hand.

Study on Vehicle Haptic-Seat for the Driving Information Transfer to Driver for the Elderly (고령운전자 운전정보전달을 위한 차량용 햅틱시트 연구)

  • Oh, S.Y.;Kim, K.T.;Yu, C.H.;Kwon, T.K.
    • Journal of rehabilitation welfare engineering & assistive technology
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    • v.8 no.3
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    • pp.151-160
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    • 2014
  • In this study, the effect of the automotive haptic-seat technology which can transmit the driving information by the vibro-stimulus from the seat was investigated to overcome previous system's limitation relied on the visual and audial method and to help handicap driving. A prototype haptic seat cover with 30 coin-type motors and driver module were developed for this sake. In an experiment of seat vibration stimulation being performed under virtual driving situation by targeting the elderly aged over 65 years old, average score of test subjects for total vibration recognition was 3.5/4 points and recognition rate of 87.5% was represented. In addition, a result that all the test subjects totally recognized overspeed warning signal of 4 times was represented. As a result of statistical analysis for vibration recognition score by each group depending on TMT score, a significant difference was not found and a result that tactile function of which vibration is recognized even by the aged whose visual, perceptional function is declined showed an equal ability was obtained.. In this study it was shown that the seat vibration stimulus could be used to transfer the old drivers' information while driving.

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