• Title/Summary/Keyword: 물체거리

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지능형 이족보행 로봇을 위한 센서시스템

  • 김영식;최형식;김유신;이창만;황규득
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2004.05a
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    • pp.22-22
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    • 2004
  • 본 연구에서는 기존 개발된 이족보행 로봇의 자율 보행 및 지능화론 위하여 다양한 센서 시스템을 구성하여 이족보행 로봇에 적용하였다. 개발된 이족보행 로봇이 미지의 환경 내에서 지능적으로 원활한 자율 보행을 할 수 있도록 다양한 센서 시스템을 구성하였다. 센서들은 물체의 거리 측정 및 장애물을 회피하기 위해 초음파 센서, 적외선 센서를 적용하고, 대차물체의 탐색을 위해 비젼 시스템을 적용하였다. 또한 이족보행 로봇의 자세유지를 위한 자이로 센서와 보행시 로봇의 발바닥 착지 유무 및 바닥의 기울기 검출을 위한 압전 센서를 적용하였다.(중략)

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A Study on Active Calibration Technique for Rotating Camera (카메라 회전을 이용한 능동적인 캘리브레이션 기법에 관한 연구)

  • Yu, Won-Pil;Chung, Yun-Koo
    • Proceedings of the Korea Information Processing Society Conference
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    • 2001.10a
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    • pp.703-706
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    • 2001
  • 본 논문에서는 pan/tilt 회전이 가능한 카메라 시스템을 이용한 캘리브레이션 기법에 대하여 소개한다. 제안된 방법을 이용하여 optical center, 초점거리를 추정할 수 있다. 캘리브레이션 대상물체로는 포인트(point)특징점을 이용하고 있으며 카메라 구동부에서 제공되는 각도 정보를 이용하며 캘리브레이션 대상 물체에 대한 기하학적 사전 지식이나 3 차원 정보를 필요로 하지 않는다 각각의 캘리브레이션 파라메타를 구하기 위해서 두 프레임을 필요로 한다. 시뮬레이션을 통해 제안된 캘리브레이션 방법의 실용 가능성을 보인다.

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Impact of Feature Positions on Focal Length Estimation of Self-Calibration (Self-calibration의 초점 거리 추정에서 특징점 위치의 영향)

  • Hong Yoo-Jung;Lee Byung-Uk
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.31 no.4C
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    • pp.400-406
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    • 2006
  • Knowledge of camera parameters, such as position, orientation and focal length, is essential to 3D information recovery or virtual object insertion. This paper analyzes the error sensitivity of focal length due to position error of feature points which are employed for self-calibration. We verify the dependency of the focal length on the distance from the principal point to feature points with simulations, and propose a criterion for feature selection to reduce the error sensitivity.

A Study on the Minimum Weight Difference Threshold in a VR Controller with Moment Variation (VR 컨트롤러의 모멘트 변화에 따른 최소 무게 차이 인지에 관한 연구)

  • Baek, Mi-Seon;Kim, Huhn
    • Journal of Korea Game Society
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    • v.20 no.1
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    • pp.13-22
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    • 2020
  • This study is about the VR controller that can provide an enhanced experience in VR by augmenting the sense of weight. In this study, the method of changing the center of gravity of the controller was used as a means of transmitting the sense of weight. The experiment was carried out with a device that could change the center of gravity to find the minimum distance at which people can perceive the difference in weight. The results showed that the weight difference between the two stimuli can be perceived at a distance of about 5 cm regardless of the position of the starting stimulus.

High Power Distance & Velocity Measuring SONAR System Development using Two Gated Sinusoidal Signals (두 개의 정현 구동 신호을 이용한 고전력 거리 및 속도 측정 쏘나 시스템 개발)

  • Jang Soon Suck;Ahn Heung Gu;Lee Je Hyeong;Choi Heun Ho
    • Proceedings of the Acoustical Society of Korea Conference
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    • spring
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    • pp.363-366
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    • 1999
  • 본 논문은 움직이는 물체의 거리와 속도측정을 위한 고전력 쏘나(SONAR)시스템 개발에 목적을 두었다. 고전력 딘나 시스템은 이동하는 물체에 주파수가 190kHz이고, 1.6ms 만큼의 시간차를 가지는 두 개의 정현 구동신호를 보내, 되돌아오는 초음파의 시간차를 이용했다. 초음파 센서의 송신부에는 고전력 엠프를 사용하여 ${\pm}60V$의 정현 구동 신호가 송신 초음파 센서에 전달 되도록 하였다. 초음파 센서의 신호 발진 및 수신된 신호의 저장을 위하여 IM RAM을 활용하였다. 150-250kHr 대역의 아날로그 BP필터를 거쳐 RAM에 저장된 수신신호는 송신신호와 함께 Cross-correlation을 행하여 시간지 연값을 계산하였고, 이로부터 거리 및 속도를 측정했다. 이 실험에서 설계 제작된 쓰나 시스템으로부터 측정된 값은 오실로스코프와 광 센서를 이용하여 직접 측정한 값들과 비교했다. 그 결과 $2\%$의 오차로 근접함을 확인하였다.

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Wavelet-Based Level-of-Detail Representation of 3D Objects (웨이브릿 기반의 3차원 물체 LOD 표현)

  • Lee, Ha-Sup;Yang, Hyun-Seung
    • Journal of KIISE:Computer Systems and Theory
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    • v.29 no.4
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    • pp.185-191
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    • 2002
  • In this paper, we propose a 3D object LOD(Level of Detail) modeling system that constructs a mesh from range images and generates the mesh of various LOD using the wavelet transform. In the initial mesh generation, we use the marching cube algorithm. We modify the original algorithm to apply it to construct the mesh from multiple range images efficiently. To get the base mesh we use the decimation algorithm which simplifies a mesh with preserving the topology Finally, when reconstructing new mesh which is similar to initial mesh we calculate the wavelet coefficients by using the wavelet transform. We solve the critical problem of wavelet-based methods - the surface crease problem (1) - by using the mesh simplification as the base mesh generation method.

Curvature Linear Equation of a Coma Corrected Two-Mirror System with Finite Object Distance (유한 물체거리를 갖는 코마수차가 보정된 2 반사경계의 곡률선형방정식)

  • Hwang, Seok-Ju;Rim, Cheon-Seog;Jo, Jae-Heung
    • Korean Journal of Optics and Photonics
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    • v.18 no.1
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    • pp.19-23
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    • 2007
  • We derived analytically the generalized curvature linear equation useful in the initial optical design of a two-mirror system with finite object distance, including an infinite object distance from paraxial ray tracing and Seidel third order aberration theory for coma coefficient. These aberration coefficients for finite object distance were described by the curvature, the inter-mirror distance, and the effective focal length. The analytical equations were solved by using a computer with a numerical analysis method. Two useful linear relationships, determined by the generalized curvature linear equations relating the curvatures of the two mirrors, for the cancellation of each aberration were shown in the numerical solutions satisfying the nearly zero condition ($<10^{-10}$) for each aberration coefficient. These equations can be utilized easily and efficiently at the step of initial optical design of a two-mirror system with finite object distance.

Pattern Recognition Improvement of an Ultrasonic Sensor System Using Neuro-Fuzzy Signal Processing (초음파센서 시스템의 패턴인식 개선을 위한 뉴로퍼지 신호처리)

  • Na, Seung-You;Park, Min-Sang
    • Journal of the Korean Institute of Telematics and Electronics S
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    • v.35S no.12
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    • pp.17-26
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    • 1998
  • Ultrasonic sensors are widely used in various applications due to advantages of low cost, simplicity in construction, mechanical robustness, and little environmental restriction in usage. But for the application of object recognition, ultrasonic sensors exhibit several shortcomings of poor directionality which results in low spatial resolution of objects, and specularity which gives frequent erroneous range readings. The time-of-flight(TOF) method generally used for distance measurement can not distinguish small object patterns of plane, corner or edge. To resolve the problem, an increased number of the sensors in the forms of a linear array or 2-dimensional array of the sensors has been used. Also better resolution has been obtained by shifting the array in several steps using mechanical actuators. Also simple patterns are classified based on analyzing signal reflections. In this paper we propose a method of a sensor array system with improved capability in pattern distinction using electronic circuits accompanying the sensor array, and intelligent algorithm based on neuro-fuzzy processing of data fusion. The circuit changes transmitter output voltages of array elements in several steps. A set of different return signals from neighborhood sensors is manipulated to provide enhanced pattern recognition in the aspects of inclination angle, size and shift as well as distance of objects. The results show improved resolution of the measurements for smaller targets.

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