• Title/Summary/Keyword: Automatic planning

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Obstacles modeling method in cluttered environments using satellite images and its application to path planning for USV

  • Shi, Binghua;Su, Yixin;Zhang, Huajun;Liu, Jiawen;Wan, Lili
    • International Journal of Naval Architecture and Ocean Engineering
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    • v.11 no.1
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    • pp.202-210
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    • 2019
  • The obstacles modeling is a fundamental and significant issue for path planning and automatic navigation of Unmanned Surface Vehicle (USV). In this study, we propose a novel obstacles modeling method based on high resolution satellite images. It involves two main steps: extraction of obstacle features and construction of convex hulls. To extract the obstacle features, a series of operations such as sea-land segmentation, obstacles details enhancement, and morphological transformations are applied. Furthermore, an efficient algorithm is proposed to mask the obstacles into convex hulls, which mainly includes the cluster analysis of obstacles area and the determination rules of edge points. Experimental results demonstrate that the models achieved by the proposed method and the manual have high similarity. As an application, the model is used to find the optimal path for USV. The study shows that the obstacles modeling method is feasible, and it can be applied to USV path planning.

Development of an Optimal Trajectory Planning Algorithm for Automated Pavement Crack Sealer (도로면 크랙실링 자동화 장비의 최적 경로계획 알고리즘 개발)

  • Yoo, Hyun-Seok;Lee, Jeong-Ho;Kim, Young-Suk
    • Korean Journal of Construction Engineering and Management
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    • v.11 no.4
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    • pp.68-79
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    • 2010
  • During the last two decades, several tele-operated and machine-vision-assisted systems have been developed in construction and maintenance area such as pavement crack sealing, sewer pipe rehabilitation, and excavation. In developing such tele-operated and machine-vision-assisted systems, trajectory plans are very important tasks for optimal motions of robots whether their environments are structured or unstructured. This paper presents an optimal trajectory planning algorithm used for a machine-vision-assisted automatic pavement crack sealing system. In this paper, the performance of the proposed optimal trajectory planning algorithm is compared with the greedy trajectory plans which are used in previously developed pavement crack sealing systems. The comparison is based on computational cost versus overall gains in crack sealing efficiency. Finally, it is concluded that the proposed algorithm plays an important role in productivity improvement of the automatic pavement crack sealing system developed.

Development of Automatic Steering System using Image Processing Technique (영상처리기법을 이용한 자율주행시스템 개발)

  • Cho, Chi-Woon;Park, Sung-Won
    • IE interfaces
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    • v.10 no.2
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    • pp.69-77
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    • 1997
  • Material handling equipment such as container cranes and transtainer cranes have made larger and faster to improve the efficiency of container handling. As conditions of use in container terminal have become severe, and also the automation level required has become higher. For the high level automation for transtainer crane, the following characteristics have to be developed 1) Container Terminal Operation & Planning System with high efficiency. 2)Autosteering System of transtainer crane with precise position sensing system using image processing and feedback control system. 3)Automatic Position Identification System with transponder. We have developed an AGSS(Automatic Gantry Steering System) of transtainer crane with image processing technology preferentially. In this paper, the system will be introduced.

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Automatic Building Extraction from Airborne Laser Scanning Data using TIN

  • Jeong Jae-Wook;Chang Hwi-Jeong;Cho Woosug;Kim Kyoung-ok
    • Proceedings of the KSRS Conference
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    • 2004.10a
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    • pp.132-135
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    • 2004
  • Building information plays a key role in diverse applications such as urban planning, telecommunication and environment monitoring. Automatic building extraction has been a prime interest in the field of GIS and photogrammetry. In this paper, we presented an automatic approach for building extraction from lidar data. The proposed approach is divided into four processes: pre-processing, filtering, segmentation and building extraction. Experimental results showed that the proposed method detected most of buildings with less commission and omission errors.

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Automatic optimization of WiBro network by using measured DM data (DM 데이터를 이용한 WiBro 무선망 자동최적화)

  • Jin, Hyuk-Soo;Jung, Hyun-Meen;Lee, Seong-Choon
    • Proceedings of the IEEK Conference
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    • 2008.06a
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    • pp.335-336
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    • 2008
  • By using DM(Diagnostic Monitoring) data measured at WiBro network, automatic optimization function of WiBro network is implemented in this paper. The optimization function mentioned is able to be run on PC with 2GHz CPU and 1 GB memory. Automatic optimization function is one module of CellTREK that is a wireless network planning and optimization software developed by Infra Lab., KT.

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Quantitative Evaluation of the Customers' Effect by Automatic Reclosing of Power Distribution System (배전시스템에서의 재폐로에 의한 수용가측 영향의 정량적 평가)

  • 임성정;김재철
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.12 no.2
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    • pp.7-14
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    • 1998
  • This paper presents an approach to quantitatively evaluate customers' effect due to automatic reclosing of power distribution systems. This proposed approach assess the customers' effect on equip ment halt by predicting a momentary interruption and voltage sag and analyzing the impact of customers' equipment sensitive to electric disturbances. Simulation results show that the increment of the number of reclosing improves the service reliability, but deteriorates the power quality for customers. The proposed approach utilizes the determination of automatic reclosing scheme and distribution system planning.anning.

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Knowledge Representation for the Automatic Shutdown System in Boiler Plants (보일러 플랜트의 자동 Shutdown 시스템을 위한 지식표현)

  • 송한영;황규석
    • Journal of the Korean Society of Safety
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    • v.11 no.3
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    • pp.143-153
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    • 1996
  • Shutdown of boiler plants is a dynamic, complicated, and hazardous operation. Operational error is a major contributor to danserous situations during boiler plant shutdowns. It is important to develop an automatic system which synthesizes operating procedures to safely go from normal operation to complete shutdown. Knowledge representation for automatic shutdown of boiler plants makes use of the hierarchical, rule-based framework for heuristic knowledge, the semantic network, frame for process topology, and AI techniques such as rule matching, forward chaining, backward chaining, and searching. This knowledge representation and modeling account for the operational states, primitive operation devices, effects of their application, and planning methodology. Also, this is designed to automatically formulate subgoals, search for positive operation devices, formulate constraints, and synthesize shutdown procedures in boiler plants.

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Development of an Intelligent Supervisory Programmable Controller for Automatic Assembly Machine (자동 조립 장치를 위한 지능 관리 제어기 개발에 관한 연구)

  • Jeon, C.H.;Lee, T.H.;Suh, I.H.;Huh, K.M.;Bien, Z.
    • Proceedings of the KIEE Conference
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    • 1987.07a
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    • pp.279-283
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    • 1987
  • In this paper an intelligent supervisory programmable controller for automatic assembly machine is developed. This is achieved by adding sequence control hardware with input-interrupts to supervisory real time language and also by incorporating an automatic planning method which uses a predicate logic model and an action model. The designed intelligent supervisory programmable controller is applied to Die Bonding Machine and is to found to work well.

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Pre-simulation based Automatic Landing Approach by Waypoint Guidance for Fixed-Wing UAV (사전 시뮬레이션과 점항법 유도를 이용한 고정익 무인기의 자동 착륙 접근)

  • Lee, Jehoon;Park, Sanghyuk
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.49 no.7
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    • pp.557-564
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    • 2021
  • This paper describes an automatic landing approach algorithm for fixed-wing UAVs using waypoint guidance. The proposed algorithm utilizes simple 2D Dubin's vehicle pre-simulations in planning the waypoints for landing approach. The remaining time to reach the runway is also estimated in the pre-simulation, and it is used for altitude control. The performance of the designed algorithm was verified by simulations and flight tests.