• Title/Summary/Keyword: Navigation Algorithm

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The Character Recognition System of Mobile Camera Based Image (모바일 이미지 기반의 문자인식 시스템)

  • Park, Young-Hyun;Lee, Hyung-Jin;Baek, Joong-Hwan
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.11 no.5
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    • pp.1677-1684
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    • 2010
  • Recently, due to the development of mobile phone and supply of smart phone, many contents have been developed. Especially, since the small-sized cameras are equiped in mobile devices, people are interested in the image based contents development, and it also becomes important part in their practical use. Among them, the character recognition system can be widely used in the applications such as blind people guidance systems, automatic robot navigation systems, automatic video retrieval and indexing systems, automatic text translation systems. Therefore, this paper proposes a system that is able to extract text area from the natural images captured by smart phone camera. The individual characters are recognized and result is output in voice. Text areas are extracted using Adaboost algorithm and individual characters are recognized using error back propagated neural network.

The Vessels Traffic Measurement and Real-time Track Assessment using Computer Vision (컴퓨터 비젼을 이용한 선박 교통량 측정 및 항적 평가)

  • Joo, Ki-Se;Jeong, Jung-Sik;Kim, Chol-Seong;Jeong, Jae-Yong
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.17 no.2
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    • pp.131-136
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    • 2011
  • The furrow calculation and traffic measurement of sailing ship using computer vision are useful methods to prevent maritime accident by predicting the possibility of an accident occurrence in advance. In this paper, sailing ships are recognized using image erosion, differential operator and minimax value, which can be verified directly because the calculated coordinates are displayed on electronic navigation chart. The developed algorithm based on area information of this paper has the advantage which is compared to the conventional radar system focused on point information.

A Study on Automatic Surveillance System using VHF Data Link Protocol (해상이동통신에서 VHF 데이터링크 프로토콜을 이용한 자동감시시스템 연구)

  • 장동원
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2002.11a
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    • pp.187-191
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    • 2002
  • In this paper, We analysed the technical characteristics of a automatic identification system that will introduce in aviation and marine radio stations. IMO's Marine Safety Committee approved revision of chapter V of the Safety of Life at Sea(SOLAS) Convention in 73rd meeting. According to this, AIS will become a mandatory carriage requirement by 01 July 2002. AIS as a surveillance system continuously receives its own position from the GNSS and then repeatedly broadcasts it on a VHF data link for avoiding traffic conflicts and possible disasters. VHF data link is organized so that a specified number of time slots make up a repeatable frame. Each radio station can autonomously allocate and deallocate slots within the frame using selection algorithm which is called SOTDMA(Self-Organized Time Division Multiple Access). The results can be an aid in the continued of understanding technical characteristics for AIS as a broad surveillance system.

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A Study on the Parallel Escape Maze through Cooperative Activities of Humanoid Robots (인간형 로봇들의 협력 작업을 통한 미로 동시 탈출에 관한 연구)

  • Jun, Bong-Gi
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.18 no.6
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    • pp.1441-1446
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    • 2014
  • For the escape from a maze, the cooperative method by robot swarm was proposed in this paper. The robots can freely move by collecting essential data and making a decision in the use of sensors; however, a central control system is required to organize all robots for the escape from the maze. The robots explore new mazes and then send the information to the system for analyzing and mapping the escaping route. Three issues were considered as follows for the effective escape by multiple robots from the mazes in this paper. In the first, the mazes began to divide and secondly, dead-ends should be blocked. Finally, after the first arrivals at the destination, a shortcut should be provided for rapid escaping from the maze. The parallel-escape algorithms were applied to the different size of mazes, so that robot swarm can effectively get away the mazes.

A Study on The Adaptive Navigation Support Technology for Individualized Cyber Learning System (사이버 교육 시스템에서의 개별학습을 위한 적응적 탐색 지원 기법 연구)

  • Park, Jongsun;Kim, Kiseok
    • The Journal of Korean Association of Computer Education
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    • v.5 no.1
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    • pp.85-98
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    • 2002
  • In this study, We are developed learner traits analysis and profile management software modules to develop learnable courseware fits to learner's individual traits in cyber learning system. We specified learner's personal information, performance information, preference information and portfolio information as learner's traits variables in this study, these four types of information are managed in learner profile management DB based on elaborate analysis to learner's traits. And we consists of curriculum sequencing module using high and low level sequencing technology, these are used in organizing learning contents sequencing with learning topic and specific learning task. The advice algorithm module developed based on adaptive navigational support and rule based technology. This Result of Research are able to be used for develop learnable courseware fits to learner's individual traits in cyber learning systems.

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True Position Determination Algorithm using Azimuth (방위를 이용한 진위 결정 알고리즘)

  • Youn, Jin-Young;Jeong, Seon-Jae;Yim, Jae-Hong
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.22 no.4
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    • pp.691-699
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    • 2018
  • Astronomical positioning has been carried out from the past by using Sextant. The St. Hilaire method was mainly used by Nautical Almanac and Sight Reduction Tables For Marine Navigation. In modern times, it has been able to use the LOP(Line of Position) method smoothly by combining with IT technology. However, in comparison with the past method, the LOP method always shows two positions, True Position and False Position, which must be distinguished by the navigator. Therefore, in this paper, we proposed a method of using the azimuth to remove the false position generated by the LOP method. In particular, the theoretical considerations using azimuth are presented in various ways, and the validity of the theoretical considerations is confirmed. Simulations are presented to confirm that the theoretical basis of the thesis is valid.

DEVELOPMENT OF REAL-TIME PRECISE POSITIONING ALGORITHM USING GPS L1 CARRIER PHASE DATA (GPS L1 반송파 위상을 이용한 실시각 정밀측위 알고리즘 구현)

  • 조정호;최병규;박종욱;박관동;임형철;박필호
    • Journal of Astronomy and Space Sciences
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    • v.19 no.4
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    • pp.377-384
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    • 2002
  • We have developed Real-time Phase DAta processor(RPDAP) for GPS L1 carrie. And also, we tested the RPDAP's positioning accuracy compared with results of real time kinematic(RTK) positioning. While quality of the conventional L1 RTK positioning highly depend on receiving condition, the RPDAP can gives more stable positioning result because of different set of common GPS satellites, which searched by elevation mask angle and signal strength. In this paper, we demonstrated characteristics of the RPDAP compared with the L1 RTK technique. And we discussed several improvement ways to apply the RPDAP to precise real-time positioning using low-cost GPS receiver. With correcting the discussed weak points in new future, the RPDAP will be used in the field of precise real-time application, such as precise car navigation and precise personal location services.

An Efficient Lane Detection Algorithm Based on Hough Transform and Quadratic Curve Fitting (Hough 변환과 2차 곡선 근사화에 기반한 효율적인 차선 인식 알고리즘)

  • Kwon, Hwa-Jung;Yi, June-Ho
    • The Transactions of the Korea Information Processing Society
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    • v.6 no.12
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    • pp.3710-3717
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    • 1999
  • For the development of unmanned autonomous vehicle, it is essential to detect obstacles, especially vehicles, in the forward direction of navigation. In order to reliably exclude regions that do not contain obstacles and save a considerable amount of computational effort, it is often necessary to confine computation only to ROI(region of interest)s. A ROI is usually chosen as the interior region of the lane. We propose a computationally simple and efficient method for the detection of lanes based on Hough transform and quadratic curve fitting. The proposed method first employs Hough transform to get approximate locations of lanes, and then applies quadratic curve fitting to the locations computed by Hough transform. We have experimented the proposed method on real outdoor road scene. Experimental results show that our method gives accurate detection of straight and curve lanes, and is computationally very efficient.

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Big Data Processing and Performance Improvement for Ship Trajectory using MapReduce Technique

  • Kim, Kwang-Il;Kim, Joo-Sung
    • Journal of the Korea Society of Computer and Information
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    • v.24 no.10
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    • pp.65-70
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    • 2019
  • In recently, ship trajectory data consisting of ship position, speed, course, and so on can be obtained from the Automatic Identification System device with which all ships should be equipped. These data are gathered more than 2GB every day at a crowed sea port and used for analysis of ship traffic statistic and patterns. In this study, we propose a method to process ship trajectory data efficiently with distributed computing resources using MapReduce algorithm. In data preprocessing phase, ship dynamic and static data are integrated into target dataset and filtered out ship trajectory that is not of interest. In mapping phase, we convert ship's position to Geohash code, and assign Geohash and ship MMSI to key and value. In reducing phase, key-value pairs are sorted according to the same key value and counted the ship traffic number in a grid cell. To evaluate the proposed method, we implemented it and compared it with IALA waterway risk assessment program(IWRAP) in their performance. The data processing performance improve 1 to 4 times that of the existing ship trajectory analysis program.

Impact Angle Control for Non-maneuvering Target with Look Angle Measurements and Line of Sight (지향각, 시선각 정보를 이용한 이동표적의 충돌각 제어)

  • Park, Jang-Seong;Lee, Dong-Hee;Park, Sang-Hyuk;Kim, Yoon-Hwan
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.47 no.7
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    • pp.508-516
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    • 2019
  • In this paper, we propose a guidance law to control Impact Angle in consideration of look angle limit of the missile with strapdown seeker on the non-maneuvering target. The proposed law is based on sliding mode algorithm and generates acceleration commands using look angle and line of sight information provided by the strapdown seeker and navigation system. And, target velocity and target path angle are provided by like TADS (Target Acquisition and Designation System) at launch time. We can confirm that the target interception and impact angle control are possible through the convergence of the proposed sliding surface. In addition, it is possible to confirm that the sign of derivative result of the look angle at the maximum and minimum look angle is opposite to the sign of the look angle, so the look angle limit is not exceeded.