• Title/Summary/Keyword: Driving Information System

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A Study on Augmented Driving System (ADS) Technology Development for Useful Driving Information (운전자 정보 극대화를 위한 Augmented Driving System (ADS) 기술에 관한 연구)

  • Yang, Seung-Hun;Kim, Dong-Joong;Kim, Han-Ul;Lee, Su-Min;Hwang, Ji-Hwan;Kim, Byung-Gyu
    • Proceedings of the Korea Information Processing Society Conference
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    • 2012.04a
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    • pp.836-839
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    • 2012
  • 본 논문에서는 운전자의 안전을 보장하기 위해 영상 처리 기술을 기반으로 도로 정보를 검출해 운전자에게 알려주고, 버튼을 직접 손으로 눌러야 하는 물리적 인터페이스를 대체할 차세대 인터페이스 기술을 제안한다. 제안된 기술은 카메라 한대에서 입력 받은 영상 정보를 제안된 알고리즘을 통해 앞차와의 거리, 차선, 교통 표지판을 검출하고 차량 내부를 주시하는 카메라와 운전자의 음성을 인식할 마이크를 기반으로 음성인식과 동작 인식이 결합된 인터페이스를 제공한다. 본 논문에서 개발된 기술을 통해 설제 테스트를 실시해 본 결과 표지판인식, 차선검출, 앞차와의 거리 검출 등의 인식률이 약 90% 이상이었으며, 이러한 기술적 요소들은 운전자가 인지하지 못하는 상황 등에서도 적절한 정보를 운전자에게 제공해 줌으로써 교통사고 확률을 크게 낮출 수 있을 것으로 기대된다.

The implementation of a Lateral Controller for the Mobile Vehicle using Adaptive Fuzzy Logics (적응퍼지논리를 이용한 Mobile Vehicle의 횡방향 제어기 구현)

  • Kim, Myeong-Jung;Lee, Chang-Gu;Kim, Seong-Jung
    • The Transactions of the Korean Institute of Electrical Engineers D
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    • v.49 no.5
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    • pp.249-256
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    • 2000
  • This paper deals with the control of the lateral motion of a mobile vehicle. A mobile vehicle using in this experiment is able to adapt many unmanned automatic driving system, for example, like a automated product transporting system. This vehicle is consist of the two servomotors. One is used to accelerate this vehicle and the another is used to change this lateral direction. An adaptive fuzzy logic controller(AFLC) is designed and applied to a experimental mobile vehicle in order to achieve the control of the lateral direction. An adaptive fuzzy logic controller(AFLC) is designed and applied to a experimental mobile vehicle in order to achieve the control of the lateral motion of the vehicle. Therefore, the main aim of this paper is investigate the possibility of applying adaptive fuzzy control algorithms to a microprocessor-based servomotor controller which requires faster and more accurate response compared with many other industrial processes. Fuzzy control rules are derived by modelling an expert's driving actions. Experiments are performed using a mobile vehicle with sensing units, a microprocessor and a host computer.

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A Study about Steering Wheel and Pedal Position of Industrial Vehicle by the Various Body Dimensions (다양한 인체치수에 따른 산업차량의 핸들과 폐달 위치에 관한 연구)

  • Choi, Chin-Bong;Koo, Lock-Jo;Jung, Myung-Chul;Park, Peom
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.29 no.4
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    • pp.1-7
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    • 2006
  • This study determined the optimal positions of the movable steering wheel and pedal systems of industrial vehicle by various body dimensions. The position of objects and starting driving posture were measured by Martin-type anthropometer and goniometer. The X, Y and Z axis of movable steering wheel and pedal systems were measured horizon distance from right side to left side, horizon distance from front side to rear side and vertical distance from floor to ceiling. During the experiment in order to exclude learning effectiveness with forklift driving, 27 subjects who had male not experiences in driving a forklift used in the experiment. The relationship between the position of steering wheel and driver's posture with body dimensions was analyzed by using correlation relation and paired comparison t-test based on the measured data. The pedal location in X and Z axises was not related with various body dimensions. Also, the steering wheel was different among the angles of the right elbow and shoulder depending on the various body dimensions.

Tightly-Coupled GNSS-LiDAR-Inertial State Estimator for Mapping and Autonomous Driving (비정형 환경 내 지도 작성과 자율주행을 위한 GNSS-라이다-관성 상태 추정 시스템)

  • Hyeonjae Gil;Dongjae Lee;Gwanhyeong Song;Seunguk Ahn;Ayoung Kim
    • The Journal of Korea Robotics Society
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    • v.18 no.1
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    • pp.72-81
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    • 2023
  • We introduce tightly-coupled GNSS-LiDAR-Inertial state estimator, which is capable of SLAM (Simultaneously Localization and Mapping) and autonomous driving. Long term drift is one of the main sources of estimation error, and some LiDAR SLAM framework utilize loop closure to overcome this error. However, when loop closing event happens, one's current state could change abruptly and pose some safety issues on drivers. Directly utilizing GNSS (Global Navigation Satellite System) positioning information could help alleviating this problem, but accurate information is not always available and inaccurate vertical positioning issues still exist. We thus propose our method which tightly couples raw GNSS measurements into LiDAR-Inertial SLAM framework which can handle satellite positioning information regardless of its uncertainty. Also, with NLOS (Non-light-of-sight) satellite signal handling, we can estimate our states more smoothly and accurately. With several autonomous driving tests on AGV (Autonomous Ground Vehicle), we verified that our method can be applied to real-world problem.

An Exploratory Analysis of IT Implementation: A Case Study of Construction Companies (건설기업 정보화 추진 방안: 대형 건설사 사례를 중심으로)

  • Han, Jeong-Sook;Kim, Young-Shin;Lee, Seung-Chan
    • Information Systems Review
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    • v.6 no.2
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    • pp.209-225
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    • 2004
  • This study shows the field of construction which was less developed in the aspect of information system in comparison to other areas needs to introduce construction information system and suggests it can make more value linked with company performance through the system. For the first step, it emphasizes the integrated enterprise approach not optimization of each sector in a company. This paper extracts the current issues of construction information from the core process of construction area and implies a driving plan and the future development plan for construction information. Antecedent studies for this drew the information structure model and the construction information-driving model of a construction company. Hence, case studies with management companies that implemented the construction information system successfully tested validity. This research brings the cases of PMS, the integrated finance system, and CRM system as successful ones.

Realization of Logistics Safety Management System By Operating Advanced Vehicle Safety Management Device (첨단 차량 안전관리장치 운영을 통한 물류 안전관리시스템 구현)

  • Moon, Hoi-Kwon;Kang, Kyung-Sik
    • Journal of the Korea Safety Management & Science
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    • v.20 no.2
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    • pp.1-8
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    • 2018
  • This study aims to provide a real-time information to the driver by effectively operating the advanced safety device attached to the freight vehicle, thereby minimizing insecure behavior of the driver such as speeding, rapid acceleration, sudden braking, And improve driving habits to prevent accidents and save energy. Advanced safety equipment is a device that warns the driver that the vehicle leaves the driving lane regardless of the intention of the driver and reduces the risk of traffic accidents by mitigating or avoiding collision by detecting a frontal collision during driving.The main contents of this report are as follows: In case of installing a warning device on a lane departing vehicle (excluding a light vehicle) and a lorry or special vehicle with a total weight exceeding 3.5 tonnes, the driver must continue to operate unless the driver releases the function.In addition, when the automatic emergency braking system is installed, the structure should be such that the braking device is operated automatically after warning the driver when the risk of collision with the running or stopped vehicle in the same direction is detected in front of the driving lane.

Performance Evaluation Using Neural Network Learning of Indoor Autonomous Vehicle Based on LiDAR (라이다 기반 실내 자율주행 차량에서 신경망 학습을 사용한 성능평가 )

  • Yonghun Kwon;Inbum Jung
    • KIPS Transactions on Computer and Communication Systems
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    • v.12 no.3
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    • pp.93-102
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    • 2023
  • Data processing through the cloud causes many problems, such as latency and increased communication costs in the communication process. Therefore, many researchers study edge computing in the IoT, and autonomous driving is a representative application. In indoor self-driving, unlike outdoor, GPS and traffic information cannot be used, so the surrounding environment must be recognized using sensors. An efficient autonomous driving system is required because it is a mobile environment with resource constraints. This paper proposes a machine-learning method using neural networks for autonomous driving in an indoor environment. The neural network model predicts the most appropriate driving command for the current location based on the distance data measured by the LiDAR sensor. We designed six learning models to evaluate according to the number of input data of the proposed neural networks. In addition, we made an autonomous vehicle based on Raspberry Pi for driving and learning and an indoor driving track produced for collecting data and evaluation. Finally, we compared six neural network models in terms of accuracy, response time, and battery consumption, and the effect of the number of input data on performance was confirmed.

Design and Implementation of the Interface between TS Demux and MPEG-4 System in DMB terminal (DMB 단말에서 TS Demux와 MPEG-4 시스템의 인터페이스 설계 및 구현)

  • 서주희;박주희;전종구
    • Proceedings of the IEEK Conference
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    • 2003.11b
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    • pp.251-254
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    • 2003
  • DMB is a next-generation multimedia broadcasting system that not only enables digital broadcasting services such as transmission of CD-duality audio, traffic information, and real-time stock information, but also allows reception of high-quality digital TV in high-speed driving conditions. In the DMB system, MPEG-2 TS(Transport Stream) multiplex method and MPEG-4 System SL(Sync Layer) have been selected as the delivery layer. In this paper, an efficient interface scheme between an MPEG-2 TS processing hardware and software-implemented MPEG-4 system within a DMB terminal device is proposed.

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A Study on Deadbeat Control Systme of DC Motro Driving a Rotational Mechanical System (회전기계 계통을 가동시키는 직류전동기의 데드비트제어시스템 연구)

  • 송자윤
    • Proceedings of the Korea Society for Industrial Systems Conference
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    • 1999.12a
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    • pp.477-483
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    • 1999
  • This paper presents a design of deadbeat control system for DC motor driving such a rotational mechanical system with gear as a printing machine. The deadbeat response design developed for control system of a sampled continuous-data process does not guarantee zero intersampling ripples, but the proposed deadbeat control system that consists of the integral controller and the full-order state observer, has many advantages such as an output response without the ripples, and setting time than the optimal control system in the same sampling period. The results of case study through MATLAB simulation are shown that the efficiency of the proposed controller for DC motor driving a rotational system with gear is verified by comparing with optimal controller etc..

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Development of the VR Simulation System for the Study of Driver's Perceptive Response (운전자 인지반응 연구를 위한 VR 시뮬레이션 시스템 개발)

  • Jang, Suk;Kwon, Seong-Jin;Chun, Jee-Hoon;Cho, Ki-Yong;Suh, Myung-Won
    • Transactions of the Korean Society of Automotive Engineers
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    • v.13 no.2
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    • pp.149-156
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    • 2005
  • In this paper, the VR(Virtual Reality) simulation system is developed to analyze driver's perceptive response on the ASV(Advanced Safety Vehicle). The ASV is the vehicle of next generation equipped with various warning systems. For the purpose, the VR simulation system consists of VR database, vehicle dynamic model, graphic/sound system, and driving system. The VR database which generates 3D graphic and sound information is organized for the driving reality. Mathematical models of vehicle dynamic analysis are constructed to represent the dynamic behavior of a vehicle. The driving system and the graphic/sound system provide a driver with the operation of a vehicle and the feedback of a driving situation. Also, the real-time simulation algorithm synchronizes the vehicle dynamic model with the VR database. To check the validity of the developed system, a simple scenario is applied to investigate driver's perceptive response time and vehicle acceleration on an emergency situation. It is confirmed that the proposed system is useful and helpful to design the FVCWS(Forward Vehicle Collision Warning System).