• Title/Summary/Keyword: On-Vehicle Information System

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Vehicle Classification and Tracking based on Deep Learning (딥러닝 기반의 자동차 분류 및 추적 알고리즘)

  • Hyochang Ahn;Yong-Hwan Lee
    • Journal of the Semiconductor & Display Technology
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    • v.22 no.3
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    • pp.161-165
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    • 2023
  • One of the difficult works in an autonomous driving system is detecting road lanes or objects in the road boundaries. Detecting and tracking a vehicle is able to play an important role on providing important information in the framework of advanced driver assistance systems such as identifying road traffic conditions and crime situations. This paper proposes a vehicle detection scheme based on deep learning to classify and tracking vehicles in a complex and diverse environment. We use the modified YOLO as the object detector and polynomial regression as object tracker in the driving video. With the experimental results, using YOLO model as deep learning model, it is possible to quickly and accurately perform robust vehicle tracking in various environments, compared to the traditional method.

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A Study on Improving Driving Stability System in Slalom and Emergency Case (급선회반복 및 위급상황에서의 주행안정성 시스템에 관한 연구)

  • Park Jung-hyen;Kim Soon-ho
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.9 no.8
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    • pp.1716-1721
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    • 2005
  • Conventionally, 2WS is used for vehicle sleeting, which can only steering front wheel. In case of trying to high speed slalom or emergency through this kind of vehicle equipped 2WS, it may occur much of side slip angle. On the other hand, 4WS makes decreasing of side slip angle, outstandingly, so it is possible to support vehicle movement stable. And conventional ABS and TCS can only possible control the longitudinal movement of braking equipment and drive which can only availab to control of longitudinal direction. There after new braking system ESP was developed, which controls both of longitudinal and lateral, with adding of the function of controlling Active Yaw Moment. On this paper, we show about not only designing of improed braking and steering system through establishing of the integrated control system design of 4WS and ESP but also designing of the system contribute to precautious for advanced vehicle stability problem.

Development of a Cooperative Heterogeneous Unmanned System for Delivery Services (물류수송을 위한 이종 협업 무인 시스템 개발)

  • Cho, Sungwook;Lee, Dasol;Jung, Yeondeuk;Lee, Unghui;Shim, David Hyunchul
    • Journal of Institute of Control, Robotics and Systems
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    • v.20 no.12
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    • pp.1181-1188
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    • 2014
  • In this paper, we propose a novel concept foran unmanned delivery service using a cooperative heterogeneous unmanned system consisting of a self-driving car and an unmanned aerial vehicle (UAV). The proposed concept is suitable to deliver parcels in high-density and high-rise urban or residential areas. In order to achieve the proposed concept, we will develop acooperative heterogeneous unmanned system. Customers can order goods using a smartphone application and the order information, including the position of the customer and the order time, and the package is transported automatically by the unmanned systems. The system assigns the tasks suitable for each unmanned vehicle by analyzing it based on map information. Performance is validated by experiments consisting of autonomous driving and flight tests in a real environment. For more evaluation, the landing position error analysis is performed using circular error probability (CEP).

A Study on the Perception of Personal Mobility Vehicle for the Improvement of Pedestrian Environment for the Disabled

  • Lee, Joohyung;Lee, Kyooil
    • Physical Therapy Rehabilitation Science
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    • v.10 no.2
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    • pp.124-133
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    • 2021
  • Objective: In order to secure the right to walk for the weak, such as the disabled, this study aims to suggest ways to improve the pedestrian environment by identifying factors that cause obstacles to walking. Design: Data Analysis and Perception Survey. Methods: The questionnaire was conducted separately between users of personal mobility vehicle and non-users. A total of 207 effective questionnaires were collected, and the analysis analyzed the perception of personal mobility vehicle by conducting frequency analysis using SAS 9.4. The survey focused on basic information on respondents, walking conditions, understanding of personal mobility vehicle, awareness of pedestrian space passage and parking, and awareness of the possibility of securing pedestrian rights due to new regulations. Results: First, when moving a pedestrian path by personal mobility vehicle, it shall be limited to less than the walking speed of pedestrians. Second, the parking location of the personal mobility vehicle is located at the boundary of the pedestrian road and the lane. Third, pay a fair price to park in a pedestrian space. Conclusions: It is necessary to improve the system to strengthen the contents of education to take into account the safety of pedestrians in education on how to use personal mobility vehicle.

Air-Ground Cooperating Robots: Applications and Challenges (공중-지상 로봇 협동 기술과 그 응용 및 연구 방향)

  • Yu, Seung-Eun;Kim, Dae-Eun
    • Journal of Institute of Control, Robotics and Systems
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    • v.16 no.2
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    • pp.101-106
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    • 2010
  • Researches on air-ground robot cooperating system has been made recently. The cooperation among homogeneous robots focused on the architecture of the system, quality and influence of the communication. In contrast, the cooperation among heterogeneous robots such as aerial vehicle and ground vehicle robots has not been much handled. There are a couple of main points for those air-ground cooperating robots. One is using UAV (Unmanned Aerial Vehicle) as an extra sensor of UGV (Unmanned Ground Vehicle). This kind of application is usually used in situations such as guiding UGV to an appropriate path which could be better determined from the eye in the sky as UAV. The other main application of air-ground cooperating robot system is the localization. By combining sensor information from both UAV and UGV, the robot system as a whole can localize a target object or find features in the environment with better performance than UGV or UAV alone. Although these applications are recently studied in many different ways and devices, there are still a lot of possibilities in the field of air-ground cooperating robot systems. We introduce those research fields in this paper.

Smart Quote Comparison System for Repair and Maintenance Vehicles (자동차 수리 및 정비를 위한 스마트 견적 비교 시스템)

  • Young Bok Joo;Eun Bi Son;Tae San Kim;Soo Ah Kim
    • Journal of the Semiconductor & Display Technology
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    • v.22 no.4
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    • pp.99-102
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    • 2023
  • In this paper, the system is proposed and implemented to share the part number, the part name, and the vehicle type through the improvement sharing bulletin board for automobile repair and maintenance. And when photos of damage parts are uploaded to the system, the system analyzes it using a deep learning model to analyze whether it is damaged and automatically classify the type of damage. By providing repair and maintenance quotes for a significant part, the system provides economically repaired by providing comparative adjustment information on repair costs to drivers who are particularly concerned about the market prices of parts and maintenance services. Through the existing bulletin board, you can exchange and share information about parts by sharing various information on repair and maintenance. This paper provides in detail the average market price per type of damage during automobile repair and maintenance, helping drivers who do not know the details of parts and maintenance services to receive reasonable quotes by providing price information.

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A Study on Lateral Tire-road Friction Coefficient Estimation Using Tire Pneumatic Trail Information (타이어 뉴메틱 트레일 정보를 활용한 횡방향 타이어 노면 마찰 계수에 관한 연구)

  • Han, Kyoungseok;Choi, Seibum
    • Transactions of the Korean Society of Automotive Engineers
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    • v.24 no.3
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    • pp.310-318
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    • 2016
  • The demands for vehicle safety systems such as ABS and ESC have been increased. Accurate vehicle state estimation is required to realized the abovementioned systems and tire-friction coefficient is crucial information. Estimation of lateral tire-road friction coefficient using pneumatic trail information is mainly dealt in this paper. Pneumatic trail shows unique characteristics according to the wheel side slip angle and these property is highly sensitive to vehicle lateral motion. The proposed algorithm minimizes the use of conventional tire models such as magic formula, brushed tire model and Dugoff tire model. The pure side slip maneuver, which means no longitudinal dynamics, is assumed to achieve the ultimate goal of this paper. A simulation verification using Carsim and Simulink is performed and the results show the feasibility of the proposed algorithms.

Design of a Wheeled Blimp

  • Sungchul Kang;Mihee Nam;Park, Changwoo;Kim, Munsang
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.30.5-30
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    • 2001
  • This paper describes a new design of blimp having wheeled vehicle part. This system can work both on the ground using wheeled vehicle and in the air using the floating capability of the blimp part. The passive wheeled mechanism in the vehicle part enables the stable taking off, landing on as well as it is greatly helpful to keep a stationary position on the floor. On the other hand, the floating capability enables the wheeled blimp to fly freely regardless of the ground condition or obstacles. The wheeled blimp can be used as an agent robot for the tole-presence application. Using multimedia devices such as camera, speaker, LCD and microphone mounted on the blimp surface, this system can get necessary information at the local site and communicate with person from a distance. As a typical tele-presence application, the wheeled blimp is currently being developed to a tole-guidance robot working in public indoor areas such 35 exhibition halls, departments, hospitals, etc ...

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An Implementation of Positioning System using Multiple Data in Smart Phone (스마트폰에서 다중데이터를 이용한 측위시스템 구현)

  • Lee, Hyoun-Sup;Kim, Jin-Deog
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.15 no.10
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    • pp.2195-2202
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    • 2011
  • Recently, navigation system is used to inform users of vehicle location and driving direction, moving distance and so on. This navigation uses GPS sensor for current location determination. The GPS sensor will determinate current coordinates by using triangulation algorithm. This characteristic bring about that the GPS signal is not available in the shadow region such as tunnel and urban canyon. Moreover, Even though the signal is available, inherent positional error rate of the GPS often results in the dislocation of vehicle. To solve, these problems, a new positioning system is proposed in the paper. The System utilizes geomagnetic sensors of smartphone, speed information of CAN of vehicle though bluetooth and WiFi APs for GPS shadow area. The experimental test shadows that the proposed system using multiple data is able to determine the position of vehicle in GPS shadow areas.

Pilot Implementation of Intelligence System for Accident Prevention at Railway Level Crossing (철도건널목 지능화시스템 시범 구축)

  • Cho, Bong-Kwan;Ryu, Sang-Hwan;Hwang, Hyeon-Chyeol;Jung, Jae-Il
    • Proceedings of the KSR Conference
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    • 2010.06a
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    • pp.1112-1117
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    • 2010
  • The intelligent safety system for level crossing which employs information and communication technology has been developed in USA and Japan, etc. But, in Korea, the relevant research has not been performed. In this paper, we analyze the cause of railway level crossing accidents and the inherent problem of the existing safety equipments. Based on analyzed results, we design the intelligent safety system which prevent collision between a train and a vehicle. This system displays train approaching information in real-time at roadside warning devices, informs approaching train of the detected obstacle in crossing areas, and is interconnected with traffic signal to empty the crossing area before train comes. Especially, we present the video based obstacle detection algorithm and verify its performance with prototype H/W since the abrupt obstacles in crossing areas are the main cause of level crossing accidents. We identify that the presented scheme detects both pedestrian and vehicle with good performance. Currently, we demonstrate developed railway crossing intelligence system at one crossing of Young-dong-seon line of Korail with Sea Train cockpit.

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