• 제목/요약/키워드: Real-time driving

검색결과 684건 처리시간 0.027초

단일곡률궤적과 칼만필터를 이용한 이동로봇의 동적물체 추종 (Moving Object Following by a Mobile Robot using a Single Curvature Trajectory and Kalman Filters)

  • 임현섭;이동혁;이장명
    • 제어로봇시스템학회논문지
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    • 제19권7호
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    • pp.599-604
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    • 2013
  • Path planning of mobile robots has a purpose to design an optimal path from an initial position to a target point. Minimum driving time, minimum driving distance and minimum driving error might be considered in choosing the optimal path and are correlated to each other. In this paper, an efficient driving trajectory is planned in a real situation where a mobile robot follows a moving object. Position and distance of the moving object are obtained using a web camera, and the rotation angular and linear velocities are estimated using Kalman filters to predict the trajectory of the moving object. Finally, the mobile robot follows the moving object using a single curvature trajectory by estimating the trajectory of the moving object. Using the estimation by Kalman filters and the single curvature in the trajectory planning, the total tracking distance and time saved amounts to about 7%. The effectiveness of the proposed algorithm has been verified through real tracking experiments.

OBD-2 네트워크를 위한 통합 OBD-2 커넥터 설계 (Implementation of integrability hardware for knowing driving status data with OBD-2 network)

  • 백성현;장종욱
    • 한국정보통신학회:학술대회논문집
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    • 한국해양정보통신학회 2011년도 추계학술대회
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    • pp.511-514
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    • 2011
  • 최근 스마트폰, 블랙박스, EDR등에서 자동차 네트워크인 OBD-2를 이용하여 자동차 실시간 제어 데이터를 알 수 있게 되었다. 각각의 장치(스마트폰, 블랙박스, EDR등)에서는 OBD-2에서 자동차 데이터를 수신 받을 때 사용되는 통신은 각각 Wifi, 블루투스를 이용한다. 하지만 각각 통신 네트워크 방식이 달라 만약 사용자가 제품을 바꾸면 OBD-2 커넥터를 새로 사거나 바꾸어야 하는 단점이 존재한다. 본 논문은 이러한 단점을 보완 하고자 각 장치에서 대부분 사용되어 지는 Bluetooth와 Wifi 네트워크를 통합하여 사용자가 1개의 리더기 만으로도 어느 장치에서든지 OBD-2 네트워크에서 자동차 실시간 제어 데이터를 알 수 있는 OBD-2 네트워크의 송, 수신을 위한 통합 하드웨어를 설계 하였다.

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주행 경로 및 계절의 변화가 소형 경유차의 실제 주행 시 질소산화물 배출량에 미치는 영향 (Influence of Driving Routes and Seasonal Conditions to Real-driving NOx Emissions from Light Diesel Vehicles)

  • 이태우;김지영;박준홍;전상진;이종태;김정수
    • 한국자동차공학회논문집
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    • 제22권1호
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    • pp.148-156
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    • 2014
  • The objective of this study is to compare NOx emissions from light duty diesel vehicles measured from on-road tests that conducted under various driving routes and seasonal conditions. We measured real-driving NOx emissions using PEMS, portable emissions measurement system, under the urban, rural and motorway road traffic conditions. On-road tests were repeated at summer, fall and winter season. The accumulated driving distance is more than 1,200 km per each vehicle. Route average NOx emission factors were compared among nine route-season combinations. The emission characteristics of each combinations were investigated using time series mass emission rates and vehicle operation-based emission rates and activities, which is based on U.S. EPA's MOVES model. Most concerned route-season combination is "urban road condition at summer", which shows two to eleven times higher NOx emissions than other combinations. The emission rates and activities under low speed operating conditions should be managed in order to reduce urban-summer NOx. From a NOx control strategy perspective, the exhaust gas recirculation, EGR, is observed to be properly operated under wide range of vehicle driving conditions in Euro-5 vehicles, even if the air conditioner turns on. In high power demanding conditions, the effect of overspeeding could be more critical than that of air conditioner activation.

Effect of Driver's Cognitive Distraction on Driver's Physiological State and Driving Performance

  • Kim, Jun-Hoe;Lee, Woon-Sung
    • 대한인간공학회지
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    • 제31권2호
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    • pp.371-377
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    • 2012
  • Objective: The aim of this study is to investigate effect of driver's cognitive distraction on driver's physiological state and driving performance, and then to determine parameters appropriate for detecting the cognitive distraction. Background: Driver distraction is a major cause of traffic accidents and poses a serious threat to traffic safety due to ever increasing use of in-vehicle information systems and mobile phones during driving. Cognitive distraction, among four different types of distractions, prevents a driver from processing traffic information correctly and adapting to change in surround vehicle behavior in time. However, the cognitive distraction is more difficult to detect because it normally does not involve significant change in driver behavior. Method: A full-scale driving simulator was used to create virtual driving environment and situations. Participants in the experiment drove the driving simulator in three different conditions: attentive driving with no secondary task, driving and conducting secondary task of adding numbers, and driving and conducting secondary task of conversing with an experimenter. Parameters related with driver's physiological state and driving performance were measured and analyzed for their change. Results: The experiment results show that driver's cognitive distraction, induced by secondary task of addition and conversation during driving, increased driver's cognitive workload, and indeed brought change in driver's physiological state and degraded driving performance. Conclusion: The galvanic skin response, pupil size, steering reversal rate, and driver reaction time are shown to be statistically significant for detecting cognitive distraction. The appropriate combination of these parameters will be used to detect the cognitive distraction and estimate risk of traffic accidents in real-time for a driver distraction warning system.

운전자 주행 특성 파라미터를 고려한 지능화 차량의 적응 제어 (Driver Adaptive Control Algorithm for Intelligent Vehicle)

  • 민석기;이경수
    • 대한기계학회논문집A
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    • 제27권7호
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    • pp.1146-1151
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    • 2003
  • In this paper, results of an analysis of driving behavior characteristics and a driver-adaptive control algorithm for adaptive cruise control systems have been described. The analysis has been performed based on real-world driving data. The vehicle longitudinal control algorithm developed in our previous research has been extended based on the analysis to incorporate the driving characteristics of the human drivers into the control algorithm and to achieve natural vehicle behavior of the adaptive cruise controlled vehicle that would feel comfortable to the human driver. A driving characteristic parameters estimation algorithm has been developed. The driving characteristics parameters of a human driver have been estimated during manual driving using the recursive least-square algorithm and then the estimated ones have been used in the controller adaptation. The vehicle following characteristics of the adaptive cruise control vehicles with and without the driving behavior parameter estimation algorithm have been compared to those of the manual driving. It has been shown that the vehicle following behavior of the controlled vehicle with the adaptive control algorithm is quite close to that of the human controlled vehicles. Therefore, it can be expected that the more natural and more comfortable vehicle behavior would be achieved by the use of the driver adaptive cruise control algorithm.

EV구동용 AC Servo Motor의 운전 제특성에 관한 연구 (A Study on operating characteristics of AC Servo Motor for EV driving)

  • 최장균;조경재;임중열;차인수
    • 한국조명전기설비학회:학술대회논문집
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    • 한국조명전기설비학회 1998년도 학술발표회논문집
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    • pp.92-98
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    • 1998
  • In this paper various drive characteristics of a AC Servo Motor for EV(electric vehicle) and hybrid system proposed a countermeasure against air polution are presented. Since the transfer function of the plant is nonlinear and very complicated, there are difficultly in driving the system with real time. The performance of these experiments is confirmed by computer simulation results. The high performance and high accuracy of the driving system, Field oriented vector control system is proposed.

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동역학 시뮬레이션을 이용한 함재기 견인차량의 주행특성 분석 기법에 관한 연구 (A Study on Analytical Method of Driving Characteristics of Carrier Aircraft Towing Vehicles Using Dynamic Simulation)

  • 오재원;홍사영;홍섭
    • 대한조선학회논문집
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    • 제60권4호
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    • pp.288-295
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    • 2023
  • This paper deals with the dynamic simulation method for analysis of driving characteristics of aircraft and towing vehicles (TUG) on carrier vessel in wave motions. For prompt deployment in a short period of time, optimization of the movement of carrier aircraft becomes a major issue. In this regards, strategy studies using real-time simulation technology and optimal decision-making technologies are being conducted. In the present work, the dynamic characteristics of carrier aircraft and TUG connected by towbar or towbarless mechanism were investigated by means of multi-body dynamics model. Meanwhile, for real-time simulation, Dugoff's model of tire loads calculation was adopted. Through comparative analysis it was confirmed that the similarity of results between the multi-body contact model and the tire load calculation model can be achieved by coefficients tuning.

최악환경의 도로시스템 주행시 장애물의 인식율 위한 정보전파 신경회로망 (Information Propagation Neural Networks for Real-time Recognition of Vehicles in bad load system)

  • 김종만;김원섭;이해기;한병성
    • 한국전기전자재료학회:학술대회논문집
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    • 한국전기전자재료학회 2003년도 춘계학술대회 논문집 기술교육전문연구회
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    • pp.90-95
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    • 2003
  • For the safety driving of an automobile which is become individual requisites, a new Neural Network algorithm which recognized the load vehicles in real time is proposed. The proposed neural network technique is the real time computation method through the inter-node diffusion. In the network, a node corresponds to a state in the quantized input space. Each node is composed of a processing unit and fixed weights from its neighbor nodes as well as its input terminal. The most reliable algorithm derived for real time recognition of vehicles, is a dynamic programming based algorithm based on sequence matching techniques that would process the data as it arrives and could therefore provide continuously updated neighbor information estimates. Through several simulation experiments, real time reconstruction of the nonlinear image information is processed. 1-D LIPN hardware has been composed and various experiments with static and dynamic signals have been implemented.

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움직이는 원통형 물체를 잡는 매니퓰레이터를 위한 레이저 거리계 기반의 서보시스템 (LRF-Based Servo System for a Manipulator Grasping Moving Cylinders)

  • 천홍석;김병국
    • 제어로봇시스템학회논문지
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    • 제14권3호
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    • pp.263-272
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    • 2008
  • We implemented a real-time servo system for a manipulator based on Laser Range Finder (LRF). and established algorithms for grasping a moving cylinder. We devised a manipulator mechanism and driving hardware based on a system board equipped with Xscale Processor with real-time operating system RTAI on Linux. The manipulator motor driver is connected to the system board via CAN communication link, and LRF is connected via RS-232C. We implemented real-time software including CAN device driver, RS-232C device driver, manipulator trajectory generator, and LRF control software. A typical application experiment for grasping a cylinder with circle motion demonstrated our system's real-time performance.

LTE 통신을 이용한 실시간 원격주행 드론 시스템 (Real-time Tele-operated Drone System with LTE Communication)

  • 강병훈
    • 한국인터넷방송통신학회논문지
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    • 제19권6호
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    • pp.35-40
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    • 2019
  • 본 연구는 LTE 통신망을 사용하여, 실시간 드론 원격주행 시스템을 제안한다. 원격지에 위치한 드론을 180km 떨어진 거리에 위치한 조종자가 50msec 시간지연으로 실시간 고도와 위치, 자세를 제어하면서 조정한다. 조정자의 조정 신호에 따라 움직이는 드론의 영상과 모션 정보는 실시간으로 조정자에게 전송되어, 영상은 조종자의 HMD에서 재생되며, 모션 정보는 조종자가 탑승한 시뮬레이터를 구동하게 된다. 일반으로 드론조정은 RF 신호를 사용하여 통상 2km 이내에서 직접 조정이 가능하며, 이 이상의 거리에서는 미션 플래너를 사용하여 GPS 운행을 한다. 따라서 장거리 비행 중 발생하는 긴급 상황에 대처하는 방안은 자동 비행 종료 후, 원위치로 복귀하는 기능이 주를 이룬다. 본 연구에서는 LTE 통신을 사용하여, 비행 중인 드론의 모션과 영상을 평균 50m sec 이내로 조종자에게 전송하여, 조종자에게 실제 원격지의 드론 위에서 조정하는 것과 유사한 실감환경을 제시한다. 제안된 시스템의 검증을 위하여 대전의 드론 조종자가 강원도 인제에 위치한 드론을 조종하는 실험 결과를 제시한다.