• Title/Summary/Keyword: Corridor driving

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Mobile Robot Driving using Moving Window

  • Choi, Sung-Yug;Kang, Jin-Gu;Hur, Hwa-Ra;Ju, Jin-Hwa
    • 제어로봇시스템학회:학술대회논문집
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    • 2003.10a
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    • pp.758-761
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    • 2003
  • This paper introduces a method that can detect obstacles and corridor environments from the images captured by a CCD camera in an automobile or mobile robot is proposed. Processing the input dynamic images in real time requires high performance hardware as well as efficient software. In order to relieve these requirements for detecting the useful information from the images in real time, a "Moving Window" scheme is proposed. Therefore, detecting the useful information, it becomes possible to search the obstacles within the driving corridor of an automobile or mobile robot. The feasibility of the proposed algorithm is demonstrated through the simulated experiments of the corridor driving.

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Overlapped Image Learning Neural Network for Autonomous Driving in the Indoor Environment (실내 환경에서의 자율주행을 위한 중첩 이미지 학습 신경망)

  • Jo, Jeong-won;Lee, Chang-woo
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2019.05a
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    • pp.349-350
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    • 2019
  • The autonomous driving drones experimented in the existing indoor corridor environment was a way to give the steering command to the drones by the neural network operation of the notebook due to the limitation of the operation performance of the drones. In this paper, to overcome these limitations, we have studied autonomous driving in indoor corridor environment using NVIDIA Jetson TX2 board.

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Indoor Autonomous Driving through Parallel Reinforcement Learning of Virtual and Real Environments (가상 환경과 실제 환경의 병행 강화학습을 통한 실내 자율주행)

  • Jeong, Yuseok;Lee, Chang Woo
    • Journal of Korea Society of Industrial Information Systems
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    • v.26 no.4
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    • pp.11-18
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    • 2021
  • We propose a method that combines learning in a virtual environment and a real environment for indoor autonomous driving through reinforcement learning. In case of learning only in the real environment, it takes about 80 hours, but in case of learning in both the real and virtual environments, it takes 40 hours. There is an advantage in that it is possible to obtain optimized parameters through various experiments through fast learning while learning in a virtual environment and a real environment in parallel. After configuring a virtual environment using indoor hallway images, prior learning was carried out on the desktop, and learning in the real environment was conducted by connecting various sensors based on Jetson Xavier. In addition, in order to solve the accuracy problem according to the repeated texture of the indoor corridor environment, it was possible to determine the corridor wall object and increase the accuracy by learning the feature point detection that emphasizes the lower line of the corridor wall. As the learning progresses, the experimental vehicle drives based on the center of the corridor in an indoor corridor environment and moves through an average of 70 steering commands.

Corridor Navigation of the Mobile Robot Using Image Based Control

  • Han, Kyu-Bum;Kim, Hae-Young;Baek, Yoon-Su
    • Journal of Mechanical Science and Technology
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    • v.15 no.8
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    • pp.1097-1107
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    • 2001
  • In this paper, the wall following navigation algorithm of the mobile robot using a mono vision system is described. The key points of the mobile robot navigation system are effective acquisition of the environmental information and fast recognition of the robot position. Also, from this information, the mobile robot should be appropriately controlled to follow a desired path. For the recognition of the relative position and orientation of the robot to the wall, the features of the corridor structure are extracted using the mono vision system, then the relative position, the offset distance and steering angle of the robot from the wall, is derived for a simple corridor geometry. For the alleviation of the computation burden of the image processing, the Kalman filter is used to reduce search region in the image space for line detection. Next, the robot is controlled by this information to follow the desired path. The wall following control scheme by the PD control scheme is composed of two control parts, the approaching control and the orientation control, and each control is performed by steering and forward-driving motion of the robot. To verify the effectiveness of the proposed algorithm, the real time navigation experiments are performed. Through the result of the experiments, the effectiveness and flexibility of the suggested algorithm are verified in comparison with a pure encoder-guided mobile robot navigation system.

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Fuzzy Cntrol for Otimal Navigation of A Mobile Robot

  • Hwang, Hee-Soo;Joo, Young-Hoon;Woo, Kwang-Bang
    • 제어로봇시스템학회:학술대회논문집
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    • 1992.10b
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    • pp.473-478
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    • 1992
  • This paper aims to investigate the navigation control of a mobile robot in a confined environment. Steering angle becomes control variable which is computed from the fuzzy control rules. The identification method proposed in this paper presents the fuzzy control rules obtained through modelling of. the driving actions of human operator. The feasibility of the proposed method is evaluated through the application of the identified fuzzy controls rules to the navigation control of a mobile robot which follows the center of a corridor.

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A Study of Line Recognition and Driving Direction Control On Vision based AGV (Vision을 이용한 자율주행 로봇의 라인 인식 및 주행방향 결정에 관한 연구)

  • Kim, Young-Suk;Kim, Tae-Wan;Lee, Chang-Goo
    • Proceedings of the KIEE Conference
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    • 2002.07d
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    • pp.2341-2343
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    • 2002
  • This paper describes a vision-based line recognition and control of driving direction for an AGV(autonomous guided vehicle). As navigation guide, black stripe attached on the corridor is used. Binary image of guide stripe captured by a CCD camera is used. For detect the guideline quickly and extractly, we use for variable thresholding algorithm. this low-cost line-tracking system is efficiently using pc-based real time vision processing. steering control is studied through controller with guide-line angle error. This method is tested via a typical agv with a single camera in laboratory environment.

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A Study on the Physical Environment of Child Care Centers for the Disabled Children in Japan Focusing on Accessibility (일본 장애아 보육시설의 접근성을 중심으로 한 물리적 환경에 대한 연구)

  • Lee, Ji-Ye;Ju, Seo-Ryeung
    • Journal of Families and Better Life
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    • v.26 no.5
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    • pp.75-89
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    • 2008
  • The purpose of this study is to understand the physical accessibility of the child care centers for disabled children in Japan. Fifteen centers located in Tokyo, Japan were surveyed through sketching, measuring, taking pictures, and observation. To understand the user's needs. the directors of the centers were interviewed. As a result,the followings suggestions were proposed. First, when the entrance of the center is close to the road, careful design for the entrance area is required to secure the safety of children using wheelchairs. If possible, a fence or door between the corridor and entrance is necessary. Second, most aspects of accessibility are pretty well designed. But a canopy over the entrance area is required to escape the rain. Third, a wider corridor space is desirable for storing and driving wheelchairs and for special equipment for the disabled. Forth, because the emergency exits were installed but not used, the new and safer emergency exits should be installed. These results will be a good case reference for developing Korean design guidelines for the children with disabilities.

Streetscape Design of Arroyo Parkway, Pasadena, California (아로요 파크웨이 조경설계)

  • Jeong Wook-Ju
    • Journal of the Korean Institute of Landscape Architecture
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    • v.32 no.4
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    • pp.105-117
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    • 2004
  • The Pasadena Freeway follows the Arroyo Seco through foothills and scenic passes to link Downtown Los Angeles with Pasadena. The approximately 10 mile road was the first freeway built in the West during the 1930's and is today designated as a Historic Parkway. As it approaches Pasadena, it terminates at a traffic light intersection at Glenarm Street, and then becomes a commercial road the Arroyo Parkway. This one and a quarter mile long, north south road moves significant volumes of traffic both into and out of Pasadena. The Arroyo Parkway is thus a major 'gateway' and an important axis of orientation and movement, terminating in the City's core civic, commercial and retail district. Planting, lighting, signage, paving, furnishing and fixtures ought to all be properly designed and coordinated to create a distinctive 'gateway' experience arriving to Pasadena and driving along the Arroyo Parkway. Alternate design studies, developed in discussion with City officials and others involved in the redevelopment of the area, would need to be done to properly decide on the best direction. Issues of heritage and traditional streetscape will likely have to be reconciled with both the reality of the vehicular character of the road and more contemporary themes. Obviously with such large parcels of property available in the Arroyo Fair Oaks corridor, there is a huge potential for redevelopment and building. This potential would only be strengthened by the Light Rail Line and its stations, the improvements to the Arroyo Parkway, and the redevelopment of the Arts Center College of Design. Guides and controls to the development process, including programming and physical design studies, would need to be developed in order to ensure that the maximum potential for the corridor be realized. This concept proposal suggests that the whole strip might be developed as a Arts and Technology corridor, with special emphases on education, public culture, media and lifestyle. The full programming possibilities need to be further developed. Additionally, appropriate urban design guidelines to ensure high quality development also need to be incorporated into an overall development plan.

Mechanism of Omni-directional Personal Mobility Vehicle with Diagonal Driving (대각선 주행이 가능한 전방향 개인용 이동수단용 메커니즘)

  • Park, Su-san;Im, Dea-Yeong;Cha, Hyun-Rok;Ryoo, Young-Jae
    • Journal of the Korean Institute of Intelligent Systems
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    • v.26 no.2
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    • pp.153-159
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    • 2016
  • In this paper, a mechanism of an omni-directional personal mobility which can drive diagonally is proposed. Mobility is a prerequisite involved in basic human life and activities. Personal mobility vehicle is a new mobility method which overcome the limits of automobiles. However, personal mobilities with four wheeled structure still have limitations. The proposed personal mobility vehicle can overcome the limitations of mobility because its rear wheels can be steered omni-directionally. In addition, the handicapped can drive it through a narrow road such as an alleyway or corridor and avoid obstacles on the traveling route. The proposed mechanism of personal mobility and the steering performance are tested by experiments, and the feasibility of diagonal driving is verified.

Selecting a Landmark for Repositioning Automated Driving Vehicles in a Tunnel (자율주행 차량의 터널내 측위오차 보정 지원시설 선정)

  • Kim, Hyoungsoo;Kim, Youngmin;Park, Bumjin
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.17 no.5
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    • pp.200-209
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    • 2018
  • This study proposed a method to select existing facilities as a landmark in order to reset accumulated errors of dead reckoning in a tunnel difficult to receive GNSS signals in automated driving. First, related standards and regulations were reviewed in order to survey 'variety' on shapes and installation locations as a feature of facilities. Second, 'recognition' on facilities was examined using image and Lidar sensors. Last, 'regularity' in terms of installation locations and intervals was surveyed through related references. The results of this study selected a fire fighting box / lamp (50m), an evacuation corridor lamp (300m), a lane control system (500m), a maximum / minimum speed limit sign and a jet fan as a candidate landmark to reset positioning errors. Based on those facilities, it was determined that error correction was possible. The results of this study are expected to be used in repositioning of automated driving vehicles in a tunnel.