• Title/Summary/Keyword: Driver Information System

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Implementation of a Vehicle Monitoring System using Multimodal Information (다중 정보를 활용하는 차량 모니터링 시스템의 구현)

  • Park, Su-Wan;Son, Jun-U
    • Journal of Korean Society of Transportation
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    • v.29 no.3
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    • pp.41-48
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    • 2011
  • In order to detect driver's state in a driver safety system, both overt and covert measures such as driving performance, visual attention, physiological arousal and traffic situation should be collected and interpreted in the driving context. In this paper, we suggest a vehicle monitoring system that provides multimodal information on a broad set of measures simultaneously collected from multiple domains including driver, vehicle and road environment using an elaborate timer equipped as a soft synchronization mechanism. Using a master timer that records key values from various modules with the same master time of short and precise interval, the monitoring system provides more accurate context awareness through synchronized data at any given time. This paper also discusses the data collected from nine young drivers performing a cognitive secondary task through this system while driving.

Design and Implementation of a Motor Vehicle Emergency Situation Detection System (차량용 사고 상황 감지 시스템의 설계 및 구현)

  • Kang, Moon-Seol;Kim, Yu-Sin
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.17 no.11
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    • pp.2677-2685
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    • 2013
  • Car running data collected from the vehicle is a native image data and sensing data of it. Hence, it can be used as a set of objective data based on which events that took place outside the car can be analyzed and determined. In this paper, we designed and implemented a emergency situation detection system to sense, store, and analyze signals related to car movements, driver's various operation states, collision pulse, etc when a car collision accident occurs on the actual road by sensing and analyzing the car movements and driver's operation status. The suggested system provides information on the driver's reaction right before the collision, operation state of the vehicle, and physical movement. The collected and analyzed data on vehicle running can be utilized to clarify the cause of a collision accident and to handle it in a just manner. Besides, it can contribute to grasping and correcting wrong driving habits of the driver and to saving.

Electric Vehicle Charging Control System using a Smartphone Application Based on WiFi Communication (WiFi 기반 스마트폰 어플리케이션을 이용한 전기자동차 충전제어시스템)

  • Ro, Sunny;Lee, Kyung-Jung;Ki, Young-Hun;Ahn, Hyun-Sik
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.62 no.8
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    • pp.1138-1143
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    • 2013
  • In this paper, we propose a smartphone application based on a wireless fidelity(WiFi) in order to control the charging of electric vehicle(EV) and monitor the charging status together with the vehicle history information. The driver obtains much information on vehicle status through a smartphone application which communicates with the electric vehicle supply equipment(EVSE) management server while the EV also communicates with the EVSE for the authentification through controller area network(CAN). We also implement the simulator for the EV charging control system to verify the functions of the proposed application where the simulator consists of an EV model, an EVSE, and a smartphone. It is shown by the simulator that the proposed smartphone application allows the driver to control and to monitor the charging process of an EV conveniently and, moreover, it can provide the driver with vehicle information stored in the EVSE management server.

Facial Behavior Recognition for Driver's Fatigue Detection (운전자 피로 감지를 위한 얼굴 동작 인식)

  • Park, Ho-Sik;Bae, Cheol-Soo
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.35 no.9C
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    • pp.756-760
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    • 2010
  • This paper is proposed to an novel facial behavior recognition system for driver's fatigue detection. Facial behavior is shown in various facial feature such as head expression, head pose, gaze, wrinkles. But it is very difficult to clearly discriminate a certain behavior by the obtained facial feature. Because, the behavior of a person is complicated and the face representing behavior is vague in providing enough information. The proposed system for facial behavior recognition first performs detection facial feature such as eye tracking, facial feature tracking, furrow detection, head orientation estimation, head motion detection and indicates the obtained feature by AU of FACS. On the basis of the obtained AU, it infers probability each state occur through Bayesian network.

Threat Issues of Intelligent Transport System in the V2X Convergence Service Envrionment (V2X 융합서비스 환경에서 지능형차량시스템의 위협 이슈)

  • Hong, Jin-Keun
    • Journal of the Korea Convergence Society
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    • v.6 no.5
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    • pp.33-38
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    • 2015
  • In a V2X convergence service environment, the principal service among infotainment services and driver management services must be supported centering on critical information of the driver, maintenance manager, customer, and anonymous user. Many software applications have considered solutions to be satisfied the specific requirements of driving care programs, and plans. This paper describes data flow diagram of a secure clinic system for driving car diagnosis, which is included in clinic configuration, clinic, clinic page, membership, clinic request processing, driver profile data, clinic membership data, and clinic authentication in the V2X convergence service environment. It is reviewed focusing on security threat issue of ITS diagnostic system such as spoofing, tampering, repudiation, disclosure, denial of service, and privilege out of STRIDE model.

Drowsiness Driving Prevention System using Bone Conduction Device

  • Hahm, SangWoo;Park, Hyungwoo
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.9
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    • pp.4518-4540
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    • 2019
  • With the development of IT convergence technology, autonomous driving has gradually developed; however, the vehicle is still operated by the driver, who should always be in good health - but sometimes, this is not the case. It is especially dangerous to drive when drowsy, and unable to fully concentrate on driving, such as when taking certain medicines, or through fatigue. Drowsy driving is at least eight times more dangerous than normal driving, and as dangerous as drunk driving. Previous research has looked at technology to detect drowsiness, in order to wake up drivers when necessary, or to safely stop the vehicle. Furthermore, many studies have been conducted to find out when drowsiness occurs. However, it is more desirable for the driver to take sufficient rest during a break, in order to be able to continue to focus and drive. In other words, it is important to maintain a normal state before drowsiness. In this study, we introduce a sound source to increase driver concentration and prevent drowsiness, another that can improve the quality of sleep, and a system that produces these sound sources. The proposed system has a noise reduction effect of about 15 dB. We have confirmed that the proposed sound induces an EEG of the desired form.

Effect of Guidance Information Receiving Ratio on Driver's Route Choice Behavior and Learming Process (교통정보 수신율 변화에 따른 운전자의 경로선택과 학습과정)

  • Do, Myung-Sik;Sheok, Chong-Soo;Chae, Jeung-Hwan
    • Journal of Korean Society of Transportation
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    • v.22 no.5
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    • pp.111-122
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    • 2004
  • The driver's decision making (e.g. route choice) is a typical decision making with an uncertainty. In this paper, we investigate the effect of route guidance information on driver's route choice and learning behavior and analyse the potential of information system in a road network in which traffic flows follow random walk. A Simulation performed focuses on the relationship among the network wide performance, message receiving rates and driver's learning mechanism. We know that at high levels of message receiving rates, the network-wide performance may get worse. However, at low levels of receiving rates, we found that the travel time when guidance information is provided decrease compared to the cases when no pubic information is provided. Also, we found that the learning parameter of the learning mechanism model always changes under nonstationary traffic condition. In addition, learning process of drivers does not converge on any specific value. More investigation is needed to enlarge the scope of the study and to explore more deeply driver's behavior.

The Implementation of Recording and Replaying System and Its Device Driver Programming (HDD를 이용한 저장ㆍ재생기의 구현 및 디바이스 드라이버 프로그래밍)

  • 최효정;이중호;김대진
    • Proceedings of the IEEK Conference
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    • 2003.11c
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    • pp.382-385
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    • 2003
  • Introduction of digital broadcasting service does not only mean the change of information transmission method but also the change of total broadcasting system. In past day, Television was only received one-sided information from broadcasting station, but digital broadcasting means that digital television becomes the most important means of information transmission by the introduction of new programming, lots of channels, data service, multi communication. In the age of the digital broadcasting, the recording and replay medium's interest is getting higher. The medium is able to record more than 24 hours' digital broadcasting programs without additional tapes. In this paper the recording and replay device using HDD was implemented and device driver based on linux was programmed. It has Intel PXA250 processor and hard disk is used as storage equipment. And transport Stream is saved on hard disk through PXA250's data bus. FIFO is added to solve the different saving speed and FPGA is also added to display the saved data.

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A Study on the Drowsy Driving Prevention System using the Pulse Sensor (맥박센서를 이용한 졸음방지운전시스템에 관한 연구)

  • Park, Chun-Myoung
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2016.05a
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    • pp.577-578
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    • 2016
  • This paper presents a method of vehicle safety system using a pulse sensor which will be able to occurs drowsy driving accident when people driving. The proposed vehicle safety system alarms according to the driver drowsy condition, therefore the driver prevent the direct and $2^{nd}$ accident beforehand cognitive unexpected and dangerous accident using vehicle safety system.

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Design and Implementation of 4-sided Monitoring System providing Bird's Eye View in Car PC Environment (Car PC 환경에서 Bird's Eye View를 제공하는 4SM (4-Sided Monitoring) 시스템 설계 및 구현)

  • Yu, Young-Ho;Jang, Si-Woong
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.16 no.1
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    • pp.153-159
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    • 2012
  • Driver's view has blind spot of automobile surroundings due to physical components of automobile architecture. Obstacles on blind spot are the cause of car destruction and car accidents. Cars which produced in recent have obstacle detection sensors and rear view cameras which provide information of obstacles on the blind sopt, and have also AVM(Around View Monitoring) which provides automobile surroundings for driver's safe driving. During a low-speed travel while parking or moving in a narrow street, a driver get help for safe driving by taking information of automobile surroundings using the above-mentioned devices. In this paper, we present a design and implementation of a 4-sided monitoring (4SM) system, which helps a driver see an integrated view of a vehicle's perimeter at a glance, using a car PC connected to four cameras installed on the front, rear, left, and right sides.