• Title/Summary/Keyword: Driving support

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Development of Self-Driven Pneumatic Robot for Boresonic Examination of Turbine Rotor (터빈로터 중심공 검사용 자기주행 공압형 로봇 개발)

  • Kang, Baejun;An, Myungjae;Lee, Chul-Hee
    • Journal of Drive and Control
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    • v.18 no.1
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    • pp.31-38
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    • 2021
  • This study presents a new principle for driving the robot aimed at reducing the position error for the boresonic examination of turbine rotor. The conventional method of inspection is performed by installing manipulator onto the flange of the turbine rotor and connecting a pipe, which is then being pushed into the bore. The longer the pipe gets, the greater sagging and distortion appear, making it difficult for the ultrasonic sensor to contact with the internal surface of the bore. A pneumatic pressure will ensure the front or rear feet of the robot in close contact with the inner wall to prevent slipping, while the ball screw on the body of the robot will rotate to drive it in the axial direction. The compression force required for tight contact was calculated in the form of a three-point support, and a static structural simulation analysis was performed by designing and modeling the robot mechanism. The driving performance and ultrasonic detection ability have been tested by fabricating the robot, the test piece for ultrasonic calibration and the transparent mock-up for robot demonstration. The tests have confirmed that no slipping occurs at a certain pneumatic pressure or over.

Development of Non-Contact Penetration Measuring Device for Pile Driving Workers (항타 시공 작업자를 위한 비접촉식 관입량 측정기 개발)

  • Kim, J.K.;Kong, Y.K.;Choi, K.H.;Cho, M.U.;Kim, S.Y.;Kim, M.J.;Lee, J.H.;Park, Chae Won
    • Journal of the Korean Society of Safety
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    • v.35 no.3
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    • pp.58-63
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    • 2020
  • At the construction site of the driving site, the pile rebound and penetration measurements are performed manually to determine the end point of the driving operation, thereby causing the measurer to be exposed to a death accident. In this study, in order to eliminate the risk of this work, a non-contact penetration measuring device was developed and usability evaluation was conducted. The penetration measuring device is manufactured based on the ultrasonic sensor, and can be combined with the pile to deliver the data in real time, and the delivered data can be output in real time on the portable PC and the final penetration can be calculated. Usability evaluation on the device was conducted by comparison with manual work. Usability evaluation was largely evaluated on measured values, subjective comfort, and body parts comfort. The result of the measured value tended to overestimate the value measured manually by the measuring device, which is similar to the previous research. In terms of subjective comfort and body part comfort, overall satisfaction was higher than the manual method when using the measuring device. Taken together, these results indicate that it is possible to use the rudder measuring device in place of manual work in the construction site, and it is judged that the worker's comfort is greatly increased by using the measuring machine. The results of this study suggest that the use of non-contact measuring device in the field can be used as basic data to support them.

A Study on The Dangers and Their Countermeasures of Autonomous Vehicle (자율주행자동차 위험 및 대응방안에 대한 고찰)

  • Jung, Im Y.
    • The Journal of the Korea Contents Association
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    • v.20 no.6
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    • pp.90-98
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    • 2020
  • Modern vehicles are evolving from manual to automatic driving. As the ratio of electrical equipment and software increases inside the vehicle, vehicles that support autonomous driving are becoming another open computer system that can communicate with the outside. The safety of the vehicle means the safety of both the passenger and the non-passenger. It is not clear whether the safety problem of ultimate autonomous vehicles can be solved by the current solution of computer systems related to fault tolerance and security. Autonomous vehicles should not be dangerous to people after they are released to the market, so it is necessary to proactively diagnose all the risks that can be predicted with current technology. This paper examines the current developments of autonomous vehicles and analyzes their dangers that threaten driving safety, as well as their countermeasures.

Full Duplex Robot System for Transferring Flat Panel Display Glass (디스플레이용 판유리 이송을 위한 양방향 이송 로봇장치)

  • Lee, Dong Hun;Lee, Chibum;Kim, Sung Dong;Cho, Young Hak
    • Journal of the Korean Society of Manufacturing Technology Engineers
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    • v.22 no.6
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    • pp.996-1002
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    • 2013
  • This study addresses the development of a full duplex robotic system for transferring flat-panel display glass. We propose to accomplish this using a bidirectional linear transfer mechanism in place of the conventional rotary transfer mechanism. The developed full duplex robot comprises a driving part that carries the glass panel laterally, vertical part that can be moved up and down by means of a ball screw and linear motion guide arrangement, and hand part that slides by the cylinder of the driving part along the guide rail with a V-guide bearing attached to the bottom of the support. In addition, an alignment part prevents the hand part from derailing and holds the hand part while the driving part moves horizontally. The full duplex robot lifts and drives a glass panel directly while transferring it to the buffer and does not require rotational motion. Therefore, both transferring and stacking are realized with a single device. This device can be used in existing industrial facilities as an alternative to existing industrial robots in current as well as future process lines. The proposed full duplex robot is expected to save considerable amounts of time and space, and increase product throughput.

Study on Fatality Risk of Senior Driver with Aging Classification (초기·중기·후기 고령운전자의 사망자 발생위험도 분석과 시사점)

  • Choi, Jaesung
    • Journal of the Korean Society of Safety
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    • v.33 no.1
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    • pp.148-161
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    • 2018
  • A traffic fatality by young people marked average annual decrease of 4.5% since 2011. Meanwhile, a traffic fatality by senior over 65 years old marked average annual increase of 7.9% for the last five years which means that the annual increase of traffic fatality by senior will be a serious problem. This study started questioning that senior drivers over 65 years old did not retain the same causal factor of fatal traffic accidents and thus extensively analyzed a risk of it by age group quantitatively, dividing the senior driver group into the early, middle and latter stages. Depending on the aging level, the risk of traffic fatality showed a wide difference in seven different types of traffic accidents generally, and happened to increase with latter and middle parts of the senior driver more than the early part. Therefore, this study proposes four policy suggestions: 1) The senior driver need to be offered customized driving educations and the improvement of road environment is also recommended. 2) Political assistance is needed to support and guide a safety related technology installation for the new or existing car. 3) Renewal of driving license and an aptitude test(physical examination, cognitive test) for drivers over 75 years old should take in a less than 3 years and an additional road test is needed as occasion demands. 4) Like the United States and Europe, development and extension of customized treatment guidebook for medical teams who examine senior drivers is needed and establishment of education and administration system that a supervisor of driving license renewal can impose safety restriction and American anonymity reporting system is considered to institutionalize in the medium to longer term.

Design and Implementation of ontology based context-awareness platform using driver intent information (운전자 의도정보를 이용한 온톨로지 기반 지능형자동차 상황인식 플랫폼 설계 및 구현)

  • Ko, Jae-Jin;Choi, Ki-Ho
    • Journal of Advanced Navigation Technology
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    • v.18 no.1
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    • pp.14-21
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    • 2014
  • In this paper, we devise a new ontology-based context-aware system to recognize the smart car information, in which driver's intent is utilized by information of car, driver, environment as well as driving state, driver state. So proposed system can handle dynamically risk changes by adding real-time situational awareness information. We utilize the camera image recognition technology for context-aware intelligent vehicle driving information, and implement information acquisition scheme OBD-II protocol to acquire vehicle's information. Experiments confirm that the proposed advanced driver safety assist system outperforms the conventional system, which only utilizes the information of vehicle, driver, and environmental information, to support the service of a high-speed driving, lane-departure service and emergency braking situation awareness.

The Strategy of GM for the Development of Autonomous Driving Technology and Related Policies (GM의 자율주행차 관련 기술개발 전략 및 정책에 관한 연구)

  • Hyun, Jae Hoon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.3
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    • pp.51-56
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    • 2020
  • This study examines the strategies employed by GM, who experienced bankruptcy in 2008. Specifically, we explore the autonomous driving-related technologies and execution, which GM began developing later than other car manufacturing companies. This study found that GM implemented aggressive M&A in search of vertical industrial integration for the development and production of autonomous vehicles. GM selected candidate firms to complement its technological gaps for the development and implementation of the autonomous vehicle. Secondly, GM achieved executive capacity by attempting to build a vertical integration in the wider scope of components, solution, service, and sales. Thirdly, the consistent governmental support and policies, such as the connected car project, M-City, and NCHRP Program expedited the development process. This study provides practical and policy implications for Korean companies and policymakers related to the automotive industry.

Reaction Research on the Visuospatial Ability and the Situation Awareness of Older Drivers in Driving (노인 운전자의 운전 중 시공간능력과 상황인식에 대한 반응)

  • Lim, Yongsuk;Lee, Jungwon
    • 한국노년학
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    • v.32 no.4
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    • pp.1087-1099
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    • 2012
  • The purpose of this paper is to examine how visuospatial ability affects the situation awareness for older drivers while driving. For this study, the Rey-Osterrith Complex Figure (ROCF) was used to measure the visuospatial ability of older drivers. The ROCF is used to measure visuospatial construct and memory abilities, and Real-Time Probes were used to measure the situation awareness with UC-win/Road simulation. Sixty drivers participated in this research (N = 30 older drivers, median = 70 years old and N = 30 younger drivers, median = 27 years old). Based on the results of this analysis, a repeated measure ANOVA was used to analyze the effect on each level of situation awareness related to visuospatial ability in driving. The results indicate that the visuospatial ability of older drivers serves as a crucial factor in determining the potential for older drivers to safely continue to drive. The results also imply the necessity of ROCF development to support and improve the visuospatial ability of older drivers.

Test Scenario Methodology for New ITS Service Verification Based on Infra-Guidance Service for Autonomous Vehicle Driving Assistance (신규 ITS 서비스 검증을 위한 테스트 시나리오 방법론 연구: 자율차 주행지원을 위한 인프라 가이던스 서비스를 중심으로)

  • Junhyung Lee;Inchul Yang;Hyungsoo Kim;Minhye Choi
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.23 no.4
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    • pp.54-66
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    • 2024
  • Various new ITS Services to support autonomous vehicles. Infra-guidance service is also one of the new ITS services that have emerged to harmonize the traffic flow in mixed traffic by assisting autonomous vehicles. As a verification procedure to introduce a new ITS service, use cases and scenarios will be established for various spatial and situational ranges that may occur on the road, and limited test operations and living lab pilot operations will be performed. On the other hand, numerous cases occur depending on environmental factors such as the traffic volume at the time of service operation, weather and road geometric characteristics. This study presents a test scenario design method for verifying new ITS services, focusing on the infra-guidance service that is being researched as an emerging autonomous driving-supported technology.

Smart Drone Police System: Development of Autonomous Patrol and Real-time Activation System Based on Big Data and AI

  • Heo Jun
    • International Journal of Internet, Broadcasting and Communication
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    • v.16 no.4
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    • pp.168-173
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    • 2024
  • This paper proposes a solution for innovating crime prevention and real-time response through the development of the Smart Drone Police System. The system integrates big data, artificial intelligence (AI), the Internet of Things (IoT), and autonomous drone driving technologies [2][5]. It stores and analyzes crime statistics from the Statistics Office and the Public Prosecutor's Office, as well as real-time data collected by drones, including location, video, and audio, in a cloud-based database [6][7]. By predicting high-risk areas and peak times for crimes, drones autonomously patrol these identified zones using a self-driving algorithm [5][8]. Equipped with video and voice recognition technologies, the drones detect dangerous situations in real-time and recognize threats using deep learning-based analysis, sending immediate alerts to the police control center [3][9]. When necessary, drones form an ad-hoc network to coordinate efforts in tracking suspects and blocking escape routes, providing crucial support for police dispatch and arrest operations [2][11]. To ensure sustained operation, solar and wireless charging technologies were introduced, enabling prolonged patrols that reduce operational costs while maintaining continuous surveillance and crime prevention [8][10]. Research confirms that the Smart Drone Police System is significantly more cost-effective than CCTV or patrol car-based systems, showing a 40% improvement in real-time response speed and a 25% increase in crime prevention effectiveness over traditional CCTV setups [1][2][14]. This system addresses police staffing shortages and contributes to building safer urban environments by enhancing response times and crime prevention capabilities [4].