Location and curvature estimation of spherical targets using multiple sonar time-of-flight measurements

被引:9
|
作者
Barshan, B [1 ]
机构
[1] Bilkent Univ, Dept Elect Engn, TR-06533 Bilkent, Turkey
关键词
cylinders; data acquisition; distance measurement; intelligent sensors; radius of curvature estimation; robot sensing systems; sonar measurements; sonar position measurement; spheres; time-of-flight measurement;
D O I
10.1109/19.816139
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
A novel, flexible, three-dimensional multisensor sonar system is described to localize the center of a generalized spherical target and estimate its radius of curvature. Point, line, and planar targets are included as limiting cases which are important for the characterization of a mobile robot's environment. Sensitivity analysis of the curvature estimate,vith respect to measurement errors and some of the system parameters is provided. The analysis is verified experimentally for specularly reflecting cylindrical and planar targets, Typical accuracies in range and azimuth are 0.17 mm and, 0.1 degrees, respectively. Accuracy of the curvature estimate depends on the target type and system parameters such as transducer separation and operating range.
引用
收藏
页码:1212 / 1223
页数:12
相关论文
共 50 条
  • [1] Location and curvature estimation of ''spherical'' targets using a flexible sonar configuration
    Barshan, B
    1996 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, PROCEEDINGS, VOLS 1-4, 1996, : 1218 - 1223
  • [2] Radius of curvature estimation and localization of targets using multiple sonar sensors
    Barshan, B
    Sekmen, AS
    JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA, 1999, 105 (04): : 2318 - 2331
  • [3] Estimation of object location and radius of curvature using ultrasonic sonar
    Sekmen, AS
    Barshan, B
    APPLIED ACOUSTICS, 2001, 62 (07) : 841 - 865
  • [4] Performance comparison of four time-of-flight estimation methods for sonar signals
    Barshan, B
    Ayrulu, B
    ELECTRONICS LETTERS, 1998, 34 (16) : 1616 - 1617
  • [5] Experimental modelling of time-of-flight sonar
    Harris, KD
    Recce, M
    ROBOTICS AND AUTONOMOUS SYSTEMS, 1998, 24 (1-2) : 33 - 42
  • [6] Detection and Location of Linear and Nonlinear Targets using PI-DORT and Time-of-Flight
    Lee, Michael
    Cao, Zhelin
    Maheshwari, Varun
    Wu, Jingwen
    Wheeler, Edward
    Hong, Sun K.
    2020 IEEE USNC-CNC-URSI NORTH AMERICAN RADIO SCIENCE MEETING (JOINT WITH AP-S SYMPOSIUM), 2020, : 27 - 28
  • [7] Electron time-of-flight measurements
    Aschwanden, MJ
    MAGNETODYNAMIC PHENOMENA IN THE SOLAR ATMOSPHERE: PROTOTYPES OF STELLAR MAGNETIC ACTIVITY, 1996, : 209 - 210
  • [8] Material Classification Using Raw Time-of-Flight Measurements
    Su, Shuochen
    Heide, Felix
    Swanson, Robin
    Klein, Jonathan
    Callenberg, Clara
    Hullin, Matthias
    Heidrich, Wolfgang
    2016 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2016, : 3503 - 3511
  • [9] VOLTAGE MEASUREMENTS USING THE TIME-OF-FLIGHT ELECTRON SPECTROMETER
    DINNIS, AR
    MICROELECTRONIC ENGINEERING, 1994, 24 (1-4) : 133 - 138
  • [10] Time-of-Flight Distance Measurements using Smart Phones
    Phillips, Jacob
    Alam, Mansoor
    Green, Robert
    2014 IEEE International Conference on Mobile Services (MS), 2014, : 153 - 154