• Title/Summary/Keyword: Collision-Map

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Subgoal Generation Algorithm for Effective Composition of Path-Planning

  • Kim, Chan-Hoi;Park, Jong-Koo
    • 제어로봇시스템학회:학술대회논문집
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    • 2004.08a
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    • pp.1496-1499
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    • 2004
  • In this paper, we deal with a novel path planning algorithm to find collision-free path for a moving robot to find an appropriate path from initial position to goal position. The robot should make progress by avoiding obstacles located at unknown position. Such problem is called the path planning. We propose so called the subgoal generation algorithm to find an effective collision-free path. The generation and selection of the subgoal are the key point of this algorithm. Several subgoals, if necessary, are generated by analyzing the map information. The subgoal is the candidate for the final path to be pass through. Then selection algorithm is executed to choose appropriate subgoal to construct a correct path. Deep and through explanations are given for the proposed algorithm. Simulation example is given to show the effectiveness of the proposed algorithm.

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LINER STABILITY OF A PERIODIC ORBIT OF TWO-BALL LINEAR SYSTEMS

  • Chi, Dong-Pyo;Seo, Sun-Bok
    • Journal of the Korean Mathematical Society
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    • v.36 no.2
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    • pp.403-419
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    • 1999
  • We introduce a Hamiltonian system which consists of two balls in the vertical line colliding elastically with each other and the floor. Wojtkowski proved that for the system of two linear balls with a linear potential (with gravity), there is a periodic orbit which becomes linearly stable if m1

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Development of a Collision Risk Assessment System for Optimum Safe Route (최적안전항로를 위한 충돌위험도 평가시스템의 개발)

  • Jeon, Ho-Kun;Jung, Yun-Chul
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.24 no.6
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    • pp.670-678
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    • 2018
  • In coastal waters where the traffic volume of the ship is high, there is a high possibility of a collision accident because complicated encounter situations frequently occurs between ships. To reduce the collision accidents at sea, a quantitative collision risk assessment is required in addition to the navigator's compliance with COLREG. In this study, a new collision risk assessment system was developed to evaluate the collision risk on ship's planned sailing routes. The appropriate collision risk assessment method was proposed on the basis of reviewing existing collision risk assessment models. The system was developed using MATLAB and it consists of three parts: Map, Bumper and Assessment. The developed system was applied to the test sea area with simple computational conditions for testing and to actual sea areas with real computational conditions for validation. The results show the length of own ship, ship's sailing time and sailing routes affect collision risks. The developed system is expected to be helpful for navigators to choose the optimum safe route before sailing.

Collision-free Flight Planning for Cooperation of Multiple Unmanned Aerial Vehicles (다중 무인 항공기의 협동 작업을 위한 무 충돌 비행 계획)

  • Park, Jae-Byung
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.49 no.2
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    • pp.63-70
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    • 2012
  • The collision-free flight planning method based on the extended collision map is proposed for cooperation of multiple unmanned aerial vehicles (UAVs) in a common 3-dimensional workspace. First, a UAV is modeled as a sphere, taking its 3-D motions such as rolling into consideration. We assume that after entering the common workspace, the UAVs move along their straight paths until they depart from the workspace, and that the priorities of the UAVs are determined in advance. According to the assumptions, the collision detection problem between two spheres in $R^3$ can be reduced into the collision detection problem between a circle and a line in $R^2$. For convenience' sake and safety, the collision regions are approximated by collision boxes. Using the collision boxes, the entrance times of the UAVs are scheduled for collision avoidance among the UAVs. By this way, all UAVs can move in the common workspace without collisions with one another. For verifying the effectiveness of the proposed flight planning method, the simulation with 12 UAVs is carried out.

Path Planning Method for an Autonomous Underwater Vehicle With Environmental Movement Congestions (환경이동혼잡조건을 고려한 자율무인잠수정의 이동경로생성 방법)

  • You, Sujeong;Kim, Ji Woong;Ji, Sang Hoon;Woo, Jongsik
    • IEMEK Journal of Embedded Systems and Applications
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    • v.13 no.2
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    • pp.65-71
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    • 2018
  • In order to make the underwater vehicle carry out the mission in a submarine environment, it is needed to plan a safe and efficient route to a given destination and prevent the autonomous submersible from colliding with obstacles while moving along the planned route. The function of collision avoidance makes the travel distance of the autonomous submersible longer. Moreover, it should move slowly near to obstacles against their moving disturbance. As a result, this invokes the degradation of the navigation efficiency in the process of collision avoidance. The side effect of the collision avoidance is not ignorable in the case of high congested environments such as the coast with many obstacles. In this paper, we suggest a path planning method which provides the route with minimum travel time considering collision avoidance in congested environment. For the purpose, we define environmental congestion map related to geometric information and obstacles. And we propose a method to consider the moving cost in the RRT scheme that provides the existing minimum distance path. We verified that the efficiency of our algorithm with simulation experiments.

Development of Collision Prevention System for Agricultural Unmanned Helicopter (LiDAR를 이용한 농업용 무인헬기 충돌방지시스템 개발)

  • Jeong, Junho;Gim, Hakseong;Lee, Dongwoo;Suk, Jinyoung;Kim, Seungkeun;Kim, Jingu;Ryu, Si-dae;Kim, Sungnam
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.44 no.7
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    • pp.611-619
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    • 2016
  • This paper proposes a collision prevention system for an agricultural unmanned helicopter. The collision prevention system consists of an obstacle detection system, a mapping algorithm, and a collision avoidance algorithm. The obstacle detection system based on a LiDAR sensor is implemented in the unmanned helicopter and acquires distance information of obstacles in real-time. Then, an obstacle mapping is carried out by combining the distance to the obstacles with attitude/location data of the unmanned helicopter. In order to prevent a collision, alert is activated to an operator based on the map when the vehicle approaches to the obstacles. Moreover, the developed collision prevention system is verified through flight test simulating a flight pattern aerial spraying.

A New Mavigation Method in Virtual Environment

  • Koo, Eun-Young;Kon, Tae-Wook;Choy, Yoon-Chul
    • Proceedings of the Korean Information Science Society Conference
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    • 2000.04b
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    • pp.643-645
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    • 2000
  • This paper puts emphasis on navigation in virtual environment, which is one of the major interfaces for the interactivity between human and virtual environment in virtual reality circumstances and worlds. It proposes a new navigation method: 2d Map-Based navigation, which prevents user's spatial lost in 3D Virtual Environment. The 2D Map-Based Navigation is composed of three major processes, Constant Velocity Navigation, Collision Detection and Avoidance, and Path Adjustment. The 2D Map-Based Navigation can reduce user's difficulties and improve user's sense of presence and reality in the virtual environments. The experiment study proved that the 2D Map-Based Navigation is a very natural, straightforward and useful navigation interface in the virtual environment.

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Object Detection and 3D Position Estimation based on Stereo Vision (스테레오 영상 기반의 객체 탐지 및 객체의 3차원 위치 추정)

  • Son, Haengseon;Lee, Seonyoung;Min, Kyoungwon;Seo, Seongjin
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.10 no.4
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    • pp.318-324
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    • 2017
  • We introduced a stereo camera on the aircraft to detect flight objects and to estimate the 3D position of them. The Saliency map algorithm based on PCT was proposed to detect a small object between clouds, and then we processed a stereo matching algorithm to find out the disparity between the left and right camera. In order to extract accurate disparity, cost aggregation region was used as a variable region to adapt to detection object. In this paper, we use the detection result as the cost aggregation region. In order to extract more precise disparity, sub-pixel interpolation is used to extract float type-disparity at sub-pixel level. We also proposed a method to estimate the spatial position of an object by using camera parameters. It is expected that it can be applied to image - based object detection and collision avoidance system of autonomous aircraft in the future.

Real-time Spray Painting using Rays and Texture Map (레이와 텍스처 기법을 이용한 실시간 스프레이 페인팅)

  • Kim, Dae-Seok;Park, Jin-Ah
    • Journal of KIISE:Computing Practices and Letters
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    • v.14 no.8
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    • pp.818-822
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    • 2008
  • The purpose of this study is to develop realistic painting simulation in real-time as well as to represent the thickness of the deposited paint on the surface. The Gaussian model is used for a painting deposition model to calculate the thickness of paints. For a painting simulation, rather than implementing particle systems, we propose a new heuristic algorithm for painting process based on a few number of rays. After we find the collision points of the rays with an environment, we compute the painted area using flood-fill searching method on the texture map and visualize paint effects. We analyzed time complexity of our method to verify that our system is suitable for real-time VR applications.

An Enhancement of Ultrasonic Based Map-building Using Newton Interpolation (뉴턴 보간법을 이용한 초음파센서 기반의 맵빌딩 개선)

  • Choi, Kyung-Sik;Choi, Jung-Won;Lee, Suk-Gyu
    • Journal of the Korean Society for Precision Engineering
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    • v.26 no.8
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    • pp.62-71
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    • 2009
  • In mobile robotics, ultrasonic sensors became one of the most popular devices for collision avoidance and navigation primarily due to data robustness, the easy availability of low-cost systems, their compact size, simple circuits, and their ease in interfacing with computers. However, ultrasonic sonic sensors are subject to noise which results in inaccuracy of mapping and localization of the robot. This paper introduces a new approach to enhance environmental maps based on ultrasonic range data using linear interpolation and Newton interpolation. The simulation and experimental results show that the proposed method improves of the accuracy of the map through better distance estimation between the mobile robot and obstacles.