Monocular visual odometry with unmanned underwater vehicle using low cost sensors

被引:0
|
作者
Dabove, Paolo [1 ]
Di Pietra, Vincenzo [1 ]
Piras, Marco [1 ]
机构
[1] Politecn Torino, Dept Environm Land & Infrastruct Engn, Corso Duca Abruzzi 24, I-10129 Turin, Italy
来源
2020 IEEE/ION POSITION, LOCATION AND NAVIGATION SYMPOSIUM (PLANS) | 2020年
关键词
underwater positioning; visual odometry; low cost; autonomous navigation; positioning; SIMULTANEOUS LOCALIZATION; VERSATILE; ROBUST; SLAM;
D O I
10.1109/plans46316.2020.9109841
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
The positioning in underwater environments is today a strong necessity for many purposes, such as construction, communication, localization, and environmental monitoring. The use of underwater rover allows to perform visual inspections, maintenance and repair of many infrastructures, like dams, pipes, tunnels, structures as well as the analyses of the underwater environments in lakes, rivers and seas. This work deals with interesting results about monocular visual odometry for unmanned underwater navigation systems. Interesting results have been obtained considering low-cost sensors simulating the real-time, challenging operational conditions, applied for a dedicated archaeological situation. Particular algorithms for navigation procedures and outliers' rejections have been written and will presented in this paper: these aspects have a great importance especially for autonomous navigation solutions in underwater complex environments, such as for archaeological applications.
引用
收藏
页码:810 / 816
页数:7
相关论文
共 50 条
  • [1] Photogrammetric visual odometry with unmanned ground vehicle using low cost sensors
    Dabove, Paolo
    Lingua, Andrea M.
    Piras, Marco
    2018 IEEE/ION POSITION, LOCATION AND NAVIGATION SYMPOSIUM (PLANS), 2018, : 426 - 431
  • [2] Retrieving Scale on Monocular Visual Odometry Using Low-Resolution Range Sensors
    Chiodini, Sebastiano
    Giubilato, Riccardo
    Pertile, Marco
    Debei, Stefano
    IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2020, 69 (08) : 5875 - 5889
  • [3] Robust Ground Vehicle Monocular Visual Odometry
    Sabry, Mohamed
    Al-Kaff, Abdulla
    Hussein, Ahmed
    Abdennadher, Slim
    2019 IEEE INTELLIGENT TRANSPORTATION SYSTEMS CONFERENCE (ITSC), 2019, : 3587 - 3592
  • [4] Deep Monocular Visual Odometry for Ground Vehicle
    Wang, Xiangwei
    Zhang, Hui
    IEEE ACCESS, 2020, 8 : 175220 - 175229
  • [5] Analysis of Movement for Unmanned Underwater Vehicle Using a Low Cost Integrated Sensor
    Aras, Mohd Shahrieel Mohd
    Abdullah, Shahrum Shah
    Rahman, Ahmad Fadzli Nizam Abdul
    Basar, Mohd Farriz
    Kassim, Anuar Mohamed
    Jaafar, Hazriq Izzuan
    INTERNATIONAL CONFERENCE ON MATHEMATICS, ENGINEERING AND INDUSTRIAL APPLICATIONS 2014 (ICOMEIA 2014), 2015, 1660
  • [6] A Low-Cost Visual Inertial Odometry System for Underwater Vehicles
    Xu, Zhizun
    Haroutunian, Maryam
    Murphy, Alan J.
    Neasham, Jeff
    Norman, Rose
    2021 4TH INTERNATIONAL CONFERENCE ON MECHATRONICS, ROBOTICS AND AUTOMATION (ICMRA 2021), 2020, : 139 - 143
  • [7] Low Cost Assembly Design of Unmanned Underwater Vehicle (UUV)
    Yar, Ghulam Nabi Ahmad Hassan
    Ahmad, Aftab
    Khurshid, Khurram
    PROCEEDINGS OF 2021 INTERNATIONAL BHURBAN CONFERENCE ON APPLIED SCIENCES AND TECHNOLOGIES (IBCAST), 2021, : 829 - 834
  • [8] 2D Monocular Visual Odometry Using Mobile-Phone Sensors
    Zhao, Boxin
    Hu, Tianjiang
    Zhang, Daibing
    Shen, Lincheng
    Ma, Zhaowei
    Kong, Weiwei
    2015 34TH CHINESE CONTROL CONFERENCE (CCC), 2015, : 5919 - 5924
  • [9] Fast Visual Odometry for a Low-Cost Underwater Embedded Stereo System
    Nawaf, Mohamad Motasem
    Merad, Djamal
    Royer, Jean-Philip
    Boi, Jean-Marc
    Saccone, Mauro
    Ben Ellefi, Mohamed
    Drap, Pierre
    SENSORS, 2018, 18 (07)
  • [10] Scale-Aware Monocular Visual Odometry and Extrinsic Calibration Using Vehicle Kinematics
    Kim, Changhyeon
    Jang, Youngseok
    Kim, Junha
    Kim, Pyojin
    Kim, H. Jin
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2023, 24 (12) : 14757 - 14771