Obstacle Detection System Design for an Autonomous Surface Vehicle using a Mechanical Scanning Sonar

被引:0
|
作者
Villar, Sebastian A. [1 ]
Solari, Franco J. [1 ]
Menna, Bruno V. [1 ]
Acosta, Gerardo G. [1 ]
机构
[1] Univ Nacl Ctr Prov Bs As, Fac Ingn, Dept Ingn Electromecan, INTELYMEC CIFICEN CONICET, Olavarria, Argentina
关键词
Autonomous Surface Vehicles; Mechanical Scanning Sonar; Object Detection; Robot Operating System;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this article the obstacle detection system design for MACABOT an Autonomous Surface Vehicle (ASV) using mechanical scanning sonar is presented. The MACABOT ASV is a versatile marine multipurpose autonomous vehicle developed to fulfill complex requirements from different applications like in the offshore industry, harbour maintenance, fishery, and others. It was totally developed and assembled in the laboratories of INTELYMEC-CIFICEN-UNCPBA. The mechanical scanning sonar was mounted on the front of ASV to detect obstacles in the path navigation. The system design presented allows adjustment and control of the parameters of mechanical scanning sonar and the on-line processing of acoustic data obtained. Experimental tests verify the correct operation of system designed, as well as, to determine the optimal values of the basic parameters of mechanical scanning sonar.
引用
收藏
页数:6
相关论文
共 50 条
  • [1] Obstacle Detection and Avoidance for an Autonomous Surface Vehicle using a Profiling Sonar
    Heidarsson, Hordur K.
    Sukhatme, Gaurav S.
    [J]. 2011 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), 2011,
  • [2] Obstacle detection by a forward looking sonar integrated in an autonomous underwater vehicle
    Martin, A
    An, E
    Nelson, K
    Smith, S
    [J]. OCEANS 2000 MTS/IEEE - WHERE MARINE SCIENCE AND TECHNOLOGY MEET, VOLS 1-3, CONFERENCE PROCEEDINGS, 2000, : 337 - 341
  • [3] Obstacle Detection using a 2D LIDAR System for an Autonomous Vehicle
    Catapang, Angelo Nikko
    Ramos, Manuel, Jr.
    [J]. 2016 6TH IEEE INTERNATIONAL CONFERENCE ON CONTROL SYSTEM, COMPUTING AND ENGINEERING (ICCSCE), 2016, : 441 - 445
  • [4] Using Kinect on an Autonomous Vehicle for Outdoors Obstacle Detection
    Hernandez-Aceituno, Javier
    Arnay, Rafael
    Toledo, Jonay
    Acosta, Leopoldo
    [J]. IEEE SENSORS JOURNAL, 2016, 16 (10) : 3603 - 3610
  • [5] Research on an obstacle detection method for autonomous obstacle avoidance test of unmanned surface vehicle
    Xiong Lu
    Bi Xiaowen
    Fang Zhenzhen
    [J]. 2023 THE 6TH INTERNATIONAL CONFERENCE ON ROBOT SYSTEMS AND APPLICATIONS, ICRSA 2023, 2023, : 188 - 194
  • [6] Research on Obstacle Detection and Avoidance of Autonomous Underwater Vehicle Based on Forward-Looking Sonar
    Cao, Xiang
    Ren, Lu
    Sun, Changyin
    [J]. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 34 (11) : 9198 - 9208
  • [7] Fixed Obstacle Detection for Autonomous Vehicle
    Fouad, Ayman M.
    Sharkawy, R. M.
    Onsy, A.
    [J]. 2019 IEEE CONFERENCE ON POWER ELECTRONICS AND RENEWABLE ENERGY (IEEE CPERE), 2019, : 217 - 221
  • [8] Autonomous vehicle obstacle detection and tracking
    Pietsch, RL
    [J]. PROCEEDINGS OF THE 1998 INTERNATIONAL SYMPOSIUM ON UNDERWATER TECHNOLOGY, 1998, : 198 - 202
  • [9] Visual navigation of an autonomous underwater vehicle using image sequences of a scanning sonar
    Guo, JW
    Liu, TC
    Cheng, SW
    [J]. OCEANS'98 - CONFERENCE PROCEEDINGS, VOLS 1-3, 1998, : 1833 - 1837
  • [10] Autonomous Vehicle for Obstacle Detection and Avoidance Using Reinforcement Learning
    Arvind, C. S.
    Senthilnath, J.
    [J]. SOFT COMPUTING FOR PROBLEM SOLVING, SOCPROS 2018, VOL 1, 2020, 1048 : 55 - 66