• 제목/요약/키워드: SONAR sensor

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Grid-Based Localization of a Mobile Robot Using Sonar Sensors

  • Lim, Jong-Hwan;Kang, Chul-Ung
    • Journal of Mechanical Science and Technology
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    • 제16권3호
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    • pp.302-309
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    • 2002
  • This paper presents a technique for localization of a mobile robot using sonar sensors. Localization is the continual provision of knowledges of position that are deduced from its a priori position estimation. The environment of a robot is modeled by a two-dimensional grid map. We define a physically based sonar sensor model and employ an extended Kalman filter to estimate positions of the robot. Since the approach does not rely on an exact geometric model of an object, it is very simple and offers sufficient generality such that integration with concurrent mapping and localizing can be achieved without major modifications. The performance and simplicity of the approach are demonstrated with the results produced by sets of experiments using a mobile robot equipped with sonar sensors.

다중 빔 센서를 이용한 측면주사음탐기에 관한 연구 (Study on Development of Side Scan Sonar Using Multi-beam Sensors)

  • 장유신;계중읍;박승수;이만형
    • 한국마린엔지니어링학회:학술대회논문집
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    • 한국마린엔지니어링학회 2006년도 전기학술대회논문집
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    • pp.317-318
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    • 2006
  • The towfish oi a side scan sonar is an equipment that search images of the bottom surface of the sea in real time. It is a typical equipment that is related to a sea investigation such as a geological survey, seabed communication cable and power line cable placing repair investigation, fish breeding ground investigation, sea purification, relic and mineral investigation, and mine and submarine search. It used to find objects and Investigate on the seabed surface. But, recently, it is used to sea purification and geological survey that require information of the correct surface of the seabed. So, it needs various filtering technique and image processing techniques development to acquire high resolution image. Therefore, this research develops a side scan sonar using multi-beam sensors that supply various information with the fast scan speed and correct high resolution that is not a simple underwater investigation equipment.

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수중 소나 영상 학습 데이터의 왜곡 및 회전 Augmentation을 통한 딥러닝 기반의 마커 검출 성능에 관한 연구 (Study of Marker Detection Performance on Deep Learning via Distortion and Rotation Augmentation of Training Data on Underwater Sonar Image)

  • 이언호;이영준;최진우;이세진
    • 로봇학회논문지
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    • 제14권1호
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    • pp.14-21
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    • 2019
  • In the ground environment, mobile robot research uses sensors such as GPS and optical cameras to localize surrounding landmarks and to estimate the position of the robot. However, an underwater environment restricts the use of sensors such as optical cameras and GPS. Also, unlike the ground environment, it is difficult to make a continuous observation of landmarks for location estimation. So, in underwater research, artificial markers are installed to generate a strong and lasting landmark. When artificial markers are acquired with an underwater sonar sensor, different types of noise are caused in the underwater sonar image. This noise is one of the factors that reduces object detection performance. This paper aims to improve object detection performance through distortion and rotation augmentation of training data. Object detection is detected using a Faster R-CNN.

수중 음향 트랜스듀서의 임피던스 변화를 고려한 소나 송신기의 설계 및 출력 제어 기법 (Design and output control technique of sonar transmitter considering impedance variation of underwater acoustic transducer)

  • 신창현;이윤호;안병선;윤홍우;권병진;김경섭;이정민
    • 한국음향학회지
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    • 제41권5호
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    • pp.481-491
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    • 2022
  • 능동 소나 송신시스템은 전기신호를 증폭하여 출력해주는 송신기와 증폭된 전기신호를 음향신호로 변환해주는 수중 음향 트랜스듀서로 구성된다. 일반적으로 송신기 출력 특성은 부하 임피던스에 의존적이며 송신기 부하인 수중 음향 트랜스듀서는 구동 시 전기적 임피던스가 주파수에 따라 크게 변화하는 특성을 갖는다. 이러한 가변 임피던스 조건에서는 능동 소나 송신시스템의 출력이 불안정해질 수 있다. 이에 본 논문에서는 능동 소나 송신시스템에서 수중음향 트랜스듀서의 가변 임피던스 조건에서도 안정적인 송신 신호를 전송하기 위한 소나 송신기의 설계 및 제어 기법을 제안하였다. 수중 음향 트랜스듀서의 전기적 임피던스 특성은 실험적 방법으로 분석하였고, 소나 송신기는 단상 풀브릿지 인버터, LC 필터와 정합회로로 구성하였다. 실시간으로 부하 특성이 변하는 Linear Frequency Modulation(LFM) 신호를 송신하면서 송신기와 트랜스듀서를 보호하고 안정적으로 출력 전압 특성을 확보할 수 있는 소나 송신기의 설계 및 출력 제어 기법을 제안하였으며, 시뮬레이션과 실험을 통해 타당성을 검증하였다.

센서네트워크 기반의 수중, 수상 및 공중 로봇의 협력제어 기법 (Collaborative Control Method of Underwater, Surface and Aerial Robots Based on Sensor Network)

  • 만동우;기현승;김현식
    • 전기학회논문지
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    • 제65권1호
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    • pp.135-141
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    • 2016
  • Recently, the needs for the development and application of marine robots are increasing as marine accidents occur frequently. However, it is very difficult to acquire the information by utilizing marine robots in the marine environment. Therefore, the needs for the researches of sensor networks which are composed of underwater, surface and aerial robots are increasing in order to acquire the information effectively as the information from heterogeneous robots has less limitation in terms of coverage and connectivity. Although various researches of the sensor network which is based on marine robots have been executed, all of the underwater, surface and aerial robots have not yet been considered in the sensor network. To solve this problem, a collaborative control method based on the acoustic information and image by the sonars of the underwater robot, the acoustic information by the sonar of the surface robot and the optical image by the camera of the static-floating aerial robot is proposed. To verify the performance of the proposed method, the collaborative control of a MUR(Micro Underwater Robot) with an OAS(Obstacle Avoidance Sonar) and a SSS(Side Scan Sonar), a MSR(Micro Surface Robot) with an OAS and a BMAR(Balloon-based Micro Aerial Robot) with a camera are executed. The test results show the possibility of real applications and the need for additional studies.

원통형 배열센서 후면 구조물에 의해 발생하는 허위 표적 감소를 위한 음향 배플 연구 (A Study on the Acoustic Baffle to Reduce Ghost Target According to Structure behind Cylindrical Array Sensor)

  • 서영수;김동현;김진태
    • 한국소음진동공학회논문집
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    • 제25권6호
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    • pp.440-446
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    • 2015
  • Acoustic signal is emitted from a vessel and received by a cylindrical array sensor at some distance from the vessel. Acoustic signal is the source for a cylindrical array sensor which is designed to detect the acoustic signal. Cylindrical array sensors seldom have an ideal hydrodynamic shape and are not sufficiently robust to survive without some protection and they are normally housed in a sonar dome. Reflected signals by some structure inside a sonar dome make unwanted signals. Therefore, an acoustic baffle is used to minimize unwanted signals. The performance of the acoustic baffles can be determined from the acoustic numerical analysis at the design stage. In this study, finite element method was used to analyze the acoustic field around the cylindrical array sensor and baffle effects. The baffle performance can be defined the echo reduction. To show the baffle performance, the specimens were made for pulse tube test and echo reductions were measured during the test. In this paper, the effect of echo reduction of the acoustic baffle was discussed.

흔들림 보정을 통한 고해상 사이드스캔소나의 데이터 관리기법 연구 (A Study of Data Management Methods through Shake Correction of Underwater Investigation Using High Resolution Side Scan SONAR)

  • 이종화;김영석;박철;최상식;이흥수
    • 한국구조물진단유지관리공학회 논문집
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    • 제21권5호
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    • pp.94-100
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    • 2017
  • 기존의 예인식으로 운용하는 사이드스캔소나의 경우 조사 시 사용자가 원하는 단면 조사에 어려움이 있어 수중구조물 전동 지그가 개발되었지만, 전동지그를 사용한 음파촬영방법의 경우 보트와 소나가 일체 거동하기 때문에 파랑에 의한 보트 롤링현상, 보트운전자의 운용미숙 등으로 인한 음파영상의 흔들림발생 등, 작업환경에 따른 여러 가지 문제로 인하여 데이터의 왜곡이 발생하였다. 따라서 본 연구에서는 기존 사이드스캔소나의 수중조사를 위한 장비운용 시 발생하는 영상의 흔들림을 해결하기 위해, 흔들림 보정센서를 부착하고 흔들림 보정 알고리즘을 개발하여 흔들림보정이 가능하도록 프로그램을 보완하였다. 또한, 소나 데이터 해상도의 향상 정도를 검증하기 위하여, 현장조사를 통해 흔들림 보정 전 후 음파영상을 수집하고 손상 의심부에 잠수사를 투입하여 실제 손상길이 및 수심을 측정하여 취득한 음파영상 데이터의 분석을 수행하였다. 본 연구는 향후 사이드스캔소나를 활용한 구조물의 수중부 및 하상면 음파영상 촬영기법의 발전에 기여할 것으로 판단된다.

초계함용 HMS(Hull Mount Sonar)를 이용한 어뢰방어시스템 연구 (Torpedo defense system research using HMS(Hull Mount Sonar) of PCC(Patrol Combat Corvette))

  • 김희언;김영길
    • 한국정보통신학회논문지
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    • 제16권11호
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    • pp.2569-2574
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    • 2012
  • 초계함(천안함급)에 탑재 된 HMS(Hull Mount Sonar) 장비는 능동모드에 적합하도록 설계 되어 있다. 이에 센서 및 시스템 특성이 어뢰 탐지 주파수 대역에 적당하도록 구성되어 있지는 않다. 이에 초계함에 장착 된 기존 HMS 장비를 이용한 어뢰탐지 기능 구현을 위하여, 초계함 함 별 입력 특성을 분석하고, 입력 주파수 신호에 대한 역보상 회로 설계, 입력 신호 크기에 따른 AGC(Auto Gain Control) 기능 구현 및 함별 신호특성에 따른 대역설정 기능을 통하여 함정 별 특성 및 운용환경 특성에 맞는 어뢰방어시스템을 구현하였다.

소나 센서를 이용한 소형 ROV의 위치제어시스템에 관한 연구 (A Study On the Position Control System of the Small ROV Using Sonar Sensors)

  • 최동현;임근남;김상현
    • 대한조선학회논문집
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    • 제45권6호
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    • pp.579-589
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    • 2008
  • In the past few years, there are many studies and researches of the underwater vehicles which are carried out its mission using sonar sensors. MSCL(Marine System Control Lab.) at Inha University developed test-bed small ROV, ISRO. ISRO is an open-frame type and has 4 thrusters. ISRO can control 4 motions i.e surge, sway, yaw and heave with sonar sensors. ISRO is developed for inspection of ship hull, marine structure, plant of lake or river and so on. When ROV ISRO inspects something, it is necessary to control the position of ROV ISRO's for the movement and anti-collision with structures in the underwater. In this paper, we deal with the development of a small ROV and verification of the position control system via simulation and experiment using sonar sensors.

센서 바이어스를 보상하는 칼만필터 기반의 예인 선배열 센서 형상 추정 기법 (Towed Array Shape Estimation based on Kalman Filter Compensating the Sensor Bias)

  • 김근환;최수진;류창수;류영우;이균경
    • 한국군사과학기술학회지
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    • 제19권2호
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    • pp.155-162
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    • 2016
  • TASS(Towed Array Sonar System) is a sonar system which tows the sensor array behind a platform. Array shape is generally assumed to be a straight line. But the array shape is often distorted by oceanic current or platform maneuvering which causes the performance loss of signal processing method like beamforming. So array shape estimation methods are needed. Typically the method based on Kalman filter using heading sensor is used. In practice, the measurement is corrupted by biases which are caused by rotation of the tow cable, varying magnetic fields and slowly varying stresses in the mechanical construction. Although they can't be calibrated but can be estimated. In this paper, we suggest the array shape estimation method based on Kalman filter compensating the sensor biases.