• Title/Summary/Keyword: Smart Vehicle

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Key Exchange Protocol based on Signcryption in SMART Highway (SMART Highway 환경에서의 사인크립션 기반 키 교환 프로토콜)

  • Kim, Su-Hyun;Lee, Im-Yeong
    • Journal of Korea Multimedia Society
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    • v.16 no.2
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    • pp.180-189
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    • 2013
  • The SMART Highway project combines road construction with advanced technology and vehicle telecommunications. Its expected outcome is a world-leading intelligent road that is green, fast, and comfortable. A vehicular ad-hoc network(VANET) is the core technology of the SMART Highway, whose transport operation is based on road vehicles. The VANET is a next-generation networking technology that enables wireless communication between vehicles or between vehicles and a road side unit(RSU). In the VANET system, a vehicle accident is likely to cause a serious disaster. Therefore, some information on safety is essential to serve as the key exchange protocol for communication between vehicles. However, the key exchange scheme of the general network proposed for a fast-moving communication environment is unsuitable for vehicles. In this paper, communication between multiple vehicles more efficient and secure key exchange at the vehicle certification by signcryption is proposed.

Vision Sensing for the Ego-Lane Detection of a Vehicle (자동차의 자기 주행차선 검출을 위한 시각 센싱)

  • Kim, Dong-Uk;Do, Yongtae
    • Journal of Sensor Science and Technology
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    • v.27 no.2
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    • pp.137-141
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    • 2018
  • Detecting the ego-lane of a vehicle (the lane on which the vehicle is currently running) is one of the basic techniques for a smart car. Vision sensing is a widely-used method for the ego-lane detection. Existing studies usually find road lane lines by detecting edge pixels in the image from a vehicle camera, and then connecting the edge pixels using Hough Transform. However, this approach takes rather long processing time, and too many straight lines are often detected resulting in false detections in various road conditions. In this paper, we find the lane lines by scanning only a limited number of horizontal lines within a small image region of interest. The horizontal image line scan replaces the edge detection process of existing methods. Automatic thresholding and spatiotemporal filtering procedures are also proposed in order to make our method reliable. In the experiments using real road images of different conditions, the proposed method resulted in high success rate.

Design of Smart Off-Board Charge System for Neighborhood Electric Vehicle (NEV용 스마트 Off-Board 충전시스템 설계)

  • Park, Sung-Il;Lee, Jeong-Gi
    • The Journal of the Korea institute of electronic communication sciences
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    • v.8 no.10
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    • pp.1499-1504
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    • 2013
  • As oil price and demand for environment friendly vehicle rapidly increase, research on electric car is being widely carried out. Especially, NEV(Neighborhood Electric Vehicle) is a pollution-free vehicle that can be mass-produced which the time of development for related technologies is urgently needed. In this paper the On-Board charger for mid- and large- sized secondary cell is applicable in aerospace and other general industries, and the Off-Board standing charger is expected to be employed in creating charging infrastructure.

Prototype Design for unmanned aerial vehicle-based BigData Processing (무인항공기 기반 빅데이터 처리 시스템의 프로토타입 설계)

  • Kim, Sa Woong
    • Smart Media Journal
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    • v.5 no.2
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    • pp.51-58
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    • 2016
  • Recently, the unmanned aerial vehicle Drone technology is attracting new interest around the world. The versatilities in science, military, marketing, sports, and entertainment fields are the driving force of the drone fever. Thus, the potential power of future industrial is expected as the application range is extensive. In this paper, we design and propose the prototype of unmanned aerial vehicle-based bigdata processing system.

Development of simulation model of an electric all-wheel-drive vehicle for agricultural work

  • Min Jong Park;Hyeon Ho Jeon;Seung Yun Baek;Seung Min Baek;Dong Il Kang;Seung Jin Ma;Yong Joo Kim
    • Korean Journal of Agricultural Science
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    • v.51 no.3
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    • pp.315-329
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    • 2024
  • This study was conducted for simulation model development of an electric all-wheel-drive vehicle to adapt the agricultural machinery. Data measurement system was installed on a four-wheel electric driven vehicle using proximity sensor, torque-meter, global positioning system (GPS) and data acquisition (DAQ) device. Axle torque and rotational speed were measured using a torque-meter and a proximity sensor. Driving test was performed on an upland field at a speed of 7 km·h-1. Simulation model was developed using a multi-body dynamics software, and tire properties were measured and calculated to reflect the similar road conditions. Measured and simulated data were compared to validate the developed simulation model performance, and axle rotational speed was selected as simulation input data and axle torque and power were selected as simulation output data. As a result of driving performance, an average axle rotational speed was 115 rpm for each wheel. Average axle torque and power were 4.50, 4.21, 4.04, and 3.22 Nm and 53.42, 50.56, 47.34, and 38.07 W on front left, front right, rear left, and rear right wheel, respectively. As a result of simulation driving, average axle torque and power were 4.51, 3.9, 4.16, and 3.32 Nm and 55.79, 48.11, 51.62, and 41.2 W on front left, front right, rear left, and rear right wheel, respectively. Absolute error of axle torque was calculated as 0.22, 7.36, 2.97, and 3.11% on front left, front right, rear left, rear right wheel, respectively, and absolute error of axle power was calculated as 4.44, 4.85, 9.04, and 8.22% on front left, front right, rear left, and rear right wheel, respectively. As a result of absolute error, it was shown that developed simulation model can be used for driving performance prediction of electric driven vehicle. Only straight driving was considered in this study, and various road and driving conditions would be considered in future study.

Study on the Smart Charging for Plug-in Hybrid Electric Vehicle (플러그인 하이브리드 전기자동차의 스마트 충전에 관한 연구)

  • Roh, Chul-Woo;Kim, Min-Soo
    • 한국신재생에너지학회:학술대회논문집
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    • 2008.10a
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    • pp.349-352
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    • 2008
  • The most concerning issue in these days is the energy crisis by increasing threat of global warming and depletion of natural resources. In the situations, the Plug-in Hybrid Electric Vehicle (PHEV) is drawing attention from many countries for the next generation's car which has higher fuel efficiency and lower environmental impact. This paper presents simulation results about the limit capacity of central power-grid which doesn't have enough surplus electric power for charging PHEVs. Therefore, this paper also presents a smart charging system that can charge the PHEVs with a function of distributing demands of charging. The smart charging system is an agent facility between the government and consumer, which can recommend the best time to charge the battery of PHEVs by the lowest energy cost. This function of choosing time-slots is the technical system for the government which wants to control the consumption rate of electric power for PHEVs. Finally, this paper presents the economic feasibility of PHEVs from the two kinds of price system, midnight electric price and home electric price.

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Smart Navigation System Implementation by MOST Network of In-Vehicle (차량 내 MOST Network를 이용한 지능형 Navigation 구현)

  • Kim, Mi-Jin;Baek, Sung-Hyun;Jang, Jong-Wook
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.13 no.11
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    • pp.2311-2316
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    • 2009
  • Lately, in the automotive market appeared keywords such as convenience, safety in presentation and increase importance of pan of vehicle. Accordingly, the use of many electronic devices was required essentially and communication between electronic devices is being highlighted. Various devices such as controllers, sensors and multimedia device(audio, speakers, video, navigation) in-vehicle connected car network such as CAN, MOST. Modem in-vehicle network managed and operated as purpose of each other. In this Paper, intelligent car navigation considering convenience and safety implement on MOST Network and present system to control CAN Network in vehicle.

Smart Navigation System Implementation by MOST Network of In-Vehicle (차량 내 MOST Network를 이용한 지능형 Navigation 구현)

  • Kim, Mi-jin;Baek, Sung-hyun;Jang, Jong-wook
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2009.10a
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    • pp.82-85
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    • 2009
  • Lately, in the automotive market appeared keywords such as convenience, safety in presentation and increase importance of part of vehicle. Accordingly, the use of many electronic devices was required essentially and communication between electronic devices is being highlighted. Various devices such as controllers, sensors and multimedia device(audio, speakers, video, navigation) in-vehicle connected car network such as CAN, MOST. Modern in-vehicle network managed and operated as purpose of each other. In this Paper, intelligent car navigation considering convenience and safety implement on MOST Network and present system to control CAN Network in vehicle.

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A Study of Intelligent Head Up Display System for Next Generation Vehicle (차세대 자동차를 위한 HUD 모니터 시스템에 관한 연구)

  • Yun, Sung-Ha;Son, Hui-Bae;Rhee, Young-Chul
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.4 no.1
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    • pp.23-31
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    • 2011
  • In this paper, the intelligent smart monitor system is implemented for the next generation vehicle. to mitigate the numerous effects of distractions within the vehicle, it is vital to put critical information where the driver can use it without affection focus on the road ahead. Audible alarms are useful supplements when used in conjunction with visual displays. But driving is an overwhelmingly visual task. To optimize a vehicle's active safety systems, more than just audible alarms are necessary. The driver needs a visual interface that focuses his or her attention on the road ahead. The most commonly viewed information in a vehicle is from the instrument cluster, where speed, tachometer, fuel, engine temperature, fuel gauge, turn indicators and warning lights provide the driver with an array of fundamental information. TFT LCD, LCD Back light led, plane mirror, lens and controllers parts were designed to intelligent integrated smart monitor system. Finally, in this paper, we analyze intelligent integrated smart monitor system for driver safety vehicles.