• Title/Summary/Keyword: Sensor Fusion System

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Integration Algorithm of GPS/SDINS/ST for a Space Navigation (우주항법을 위한 GPS/SDINS/ST 결합 알고리듬)

  • Yi, Chang-Yong;Cho, Kyeum-Rae;Lee, Dae-Woo;Cho, Yun-Cheol
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.24 no.2
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    • pp.1-10
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    • 2016
  • A GPS/SDINS/ST(Star Tracker) integrated sensor algorithm is more robust than the GPS/SDINS and the ST/SDINS systems on exploration of other planets. Most of the advanced studies shown that GPS/SDINS/ST integrated sensor with centralized Kalman filter was more accurate than those 2 integrated systems. The system, however, consist of a single filter, it is vulnerable to defects on failed data. To improve the problem, we work out a study using federated Kalman filter(No-Reset mode) and centralized Kalman filter with adaptive measurement fusion which known as robustness on fault. The simulation results show that the debasing influences are reduced and the computation is enable at least 100Hz. Further researches that the initial calibration in accordance with observability and applying the exploration trajectory are needed.

Intruder Tracking and Collision Avoidance Algorithm Design for Unmanned Aerial Vehicles using a Model-based Design Method (모델 기반 설계 기법을 이용한 무인항공기의 침입기 추적 및 충돌회피 알고리즘 설계)

  • Choi, Hyunjin;Yoo, Chang-Sun;Ryu, Hyeok;Kim, Sungwook;Ahn, Seokmin
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.25 no.4
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    • pp.83-90
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    • 2017
  • Unmanned Aerial Vehicles(UAVs) require collision avoidance capabilities equivalent to the capabilities of manned aircraft to enter the airspace of manned aircraft. In the case of Visual Flight Rules of manned aircraft, collision avoidance is performed by 'See-and-Avoid' of pilots. To obtain those capabilities of UAVs named as 'Sense-and-Avoid', sensor-system-based intruder tracking and collision avoidance methods are required. In this study, a multi-sensor-based tracking, data fusion, and collision avoidance algorithm is designed by using a model-based design tool MATLAB/SIMULINK, and validations of the designed model and code using numerical simulations and processor-in-the-loop simulations are performed.

Behavior Planning for Humanoid Robot Using Behavior Primitive (행동 프리미티브 기반 휴머노이드 로봇의 행동 계획)

  • Noh, Su-Hee;Kim, Yong-Tae
    • Journal of the Korean Institute of Intelligent Systems
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    • v.19 no.1
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    • pp.108-114
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    • 2009
  • In this paper, we presents a behavior planning for humanoid robots using behavior primitive in 3 dimensional workspace. Also, we define behavior primitives that humanoid robot accomplishes various tasks effectively. Humanoid robot obtains information of the outside environment and its inner information from various sensors in complex workspace with various obstacles. We verify our approach on a developed small humanoid robot using embedded vision and sensor system in a experimental environment. The experimental results show that the humanoid robot performs its tasks fast and effectively.

Recognition of Tactilie Image Dependent on Imposed Force Using Fuzzy Fusion Algorithm (접촉력에 따라 변하는 Tactile 영상의 퍼지 융합을 통한 인식기법)

  • 고동환;한헌수
    • Journal of the Korean Institute of Intelligent Systems
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    • v.8 no.3
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    • pp.95-103
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    • 1998
  • This paper deals with a problem occuring in recognition of tactile images due to the effects of imposed force at a me urement moment. Tactile image of a contact surface, used for recognition of the surface type, varies depending on the forces imposed so that a false recognition may result in. This paper fuzzifies two parameters of the contour of a tactile image with the membership function formed by considering the imposed force. Two fuzzifed paramenters are fused by the average Minkowski's dist; lnce. The proposed algorithm was implemented on the multisensor system cnmposed of an optical tact le sensor and a 6 axes forceltorque sensor. By the experiments, the proposed algorithm has shown average recognition ratio greater than 869% over all imposed force ranges and object models which is about 14% enhancement comparing to the case where only the contour information is used. The pro- ~oseda lgorithm can be used for end-effectors manipulating a deformable or fragile objects or for recognition of 3D objects by implementing on multi-fingered robot hand.

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Acquisition of Grass Harvesting Characteristics Information and Improvement of the Accuracy of Topographical Surveys for the GIS by Sensor Fusion (I) - Analysis of Grass Harvesting Characteristics by Sensor Fusion -

  • Choi, Jong-Min;Kim, Woong;Kang, Tae-Hwan
    • Journal of Biosystems Engineering
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    • v.40 no.1
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    • pp.28-34
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    • 2015
  • Purpose: This study aimed to install an RTK-GPS (Real Time Kinematic-Global Positioning System) and IMU (Inertial Measurement Unit) on a tractor used in a farm to measure positions, pasture topography, posture angles, and vibration accelerations, translate the information into maps using the GIS, analyze the characteristics of grass harvesting work, and establish new technologies and construction standards for pasture infrastructure improvement based on the analyzed data. Method: Tractor's roll, pitch, and yaw angles and vibration accelerations along the three axes during grass harvesting were measured and a GIS map prepared from the data. A VRS/RTK-GPS (MS750, Trimble, USA) tractor position measuring system and an IMU (JCS-7401A, JAE, JAPAN) tractor vibration acceleration measuring systems were mounted on top of a tractor and below the operator's seat to obtain acceleration in the direction of progression, transverse acceleration, and vertical acceleration at 10Hz. In addition, information on regions with bad workability was obtained from an operator performing grass harvesting and compared with information on changes in tractor posture angles and vibration acceleration. Results: Roll and pitch angles based on the y-axis, the direction of forward movements of tractor coordinate systems, changed by at least $9-13^{\circ}$ and $8-11^{\circ}$ respectively, leading to changes in working postures in the central and northern parts of the pasture that were designated as regions with bad workability during grass harvesting. These changes were larger than those in other regions. The synthesized vectors of the vibration accelerations along the y-axis, the x-axis (transverse direction), and the z-axis (vertical direction) were higher in the central and northwestern parts of the pasture at 3.0-4.5 m/s2 compared with other regions. Conclusions: The GIS map developed using information on posture angles and vibration accelerations by position in the pasture is considered sufficiently utilizable as data for selection of construction locations for pasture infrastructure improvement.

A Study on Mobile Robot for Posture Control of Flexible Structures Using PI Algorithm

  • Kang, Jin-Gu
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.2
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    • pp.9-14
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    • 2022
  • In this study, we propose a method for moving a device such as a flexible air sculpture while stably maintaining the user's desired posture. To accomplish this, a robot system with a structure of a mobile robot capable of running according to a given trajectory was studied by applying the PI algorithm and horizontal maintenance posture control using IMU. The air sculptures used in this study often use thin strings in a fixed posture. Another method is to put a load on the center of gravity to maintain the posture, and it is a system with flexibility because it uses air pressure. It is expected that these structures can achieve various results by combining flexible structures and mobile robots through the convergence process of digital sensor technology. In this study, posture control was performed by fusion of the driving technology of AGV(Automatic Guided Vehicle),, a field of robot, and technologies applying various sensors. For verification, the given performance evaluation was performed through an accredited certification test, and its validity was verified through an experiment.

Estimation of Stroke Volume Based on Air Pressure in Air Tube with Pneumatic Pulsatile Ventricular Assist Device (공압식 박동형 심실보조장치에서 공압관 내 공기압에 따른 박출량 추정)

  • Kang, Yu Min;Lee, Jin Hong;Her, Keun;Choi, Seong Wook
    • Transactions of the Korean Society of Mechanical Engineers B
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    • v.38 no.12
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    • pp.971-974
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    • 2014
  • A ventricular assist device (VAD) is used for bridge to heart transplantation and heart diseases. Knowing the status of a pneumatic pulsatile VAD when implanting it into the body is important: when the velocity of blood flow through the VAD is slow, a thrombus may occur, and thrombosis can be fatal to a patient. In order to determine the state of a VAD, various sensors need to be implanted. Because this introduces the risk of infection and difficulties with sensor management, we developed a method for estimating the state of a VAD indirectly via the pressure in an air tube that can be measured in vitro. We compared the measured values to in vitro experimental results. The estimated and measured values showed some errors, but the accuracy can be improved by refining the estimation process to minimize the risk of infection.

3D Object Location Identification Using Finger Pointing and a Robot System for Tracking an Identified Object (손가락 Pointing에 의한 물체의 3차원 위치정보 인식 및 인식된 물체 추적 로봇 시스템)

  • Gwak, Dong-Gi;Hwang, Soon-Chul;Ok, Seo-Won;Yim, Jung-Sae;Kim, Dong Hwan
    • Journal of the Korean Society of Manufacturing Technology Engineers
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    • v.24 no.6
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    • pp.703-709
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    • 2015
  • In this work, a robot aimed at grapping and delivering an object by using a simple finger-pointing command from a hand- or arm-handicapped person is introduced. In this robot system, a Leap Motion sensor is utilized to obtain the finger-motion data of the user. In addition, a Kinect sensor is also used to measure the 3D (Three Dimensional)-position information of the desired object. Once the object is pointed at through the finger pointing of the handicapped user, the exact 3D information of the object is determined using an image processing technique and a coordinate transformation between the Leap Motion and Kinect sensors. It was found that the information obtained is transmitted to the robot controller, and that the robot eventually grabs the target and delivers it to the handicapped person successfully.

Effect Analysis of Worldview-3 SWIR Bands for Wetland Classification in Suncheon Bay, South Korea

  • Han, Youkyung;Jung, Sejung;Park, Honglyun;Choi, Jaewan
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.36 no.5
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    • pp.371-379
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    • 2018
  • Unlike general VHR (Very-High-Resolution) satellite sensors that are mainly for panchromatic and MS (Multispectral) imaging, Worldview-3 sensor additionally provides eight SWIR (Short Wavelength Infrared) bands in wavelength range from 1198 nm to 2365 nm. This study investigates the effect of informative Worldview-3 SWIR bands for wetland classification performance. Worldview-3 imagery acquired over Sunchon Bay, which is a coastal wetland located in South Korea, is used to implement the classification. Land-cover classes for the scene are determined by referring to national land-cover maps, which are provided by the Ministry of Environment, overlapped with the scene. After that, training data for each determined class are collected. In order to analyze the effect of SWIR bands, classifications with and without SWIR bands are carried out and the results are then compared. In this regard, a SVM (Support Vector Machine) is utilized as their classifier. As a result of the accuracy assessments performed by test data that are independently extracted from training data, it was confirmed that classification performance was improved when the SWIR bands are included as input features for SVM-based classification.

A novel approach to design of local quantizers for distributed estimation

  • Kim, Yoon Hak
    • Journal of IKEEE
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    • v.22 no.3
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    • pp.558-564
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    • 2018
  • In distributed estimation where each node can collect only partial information on the parameter of interest without communication between nodes and quantize it before transmission to a fusion node which conducts estimation of the parameter, we consider a novel quantization technique employed at local nodes. It should be noted that the performance can be greatly improved if each node can transmit its measurement to one designated node (namely, head node) which can quantize its estimate using the total rate available in the system. For this case, the best strategy at the head node would be simply to partition the parameter space using the generalized Lloyd algorithm, producing the global codewords, one of which is closest to the estimate is transmitted to a fusion node. In this paper, we propose an iterative design algorithm that seeks to efficiently assign the codewords into each of quantization partitions at nodes so as to achieve the performance close to that of the system with the head node. We show through extensive experiments that the proposed algorithm offers a performance improvement in rate-distortion perspective as compared with previous novel techniques.