Development of the UFRJ Nautilus' AUV: A Multisensor Data Fusion case study

The UFRJ Nautilus is a student-driven engineering project team at Federal University of Rio de Janeiro, focused on building and designing AUVs to compete in the AUSVI RoboSub Competition. There are several challenges on developing an AUV: location, computer vision, filters, collect and evaluate data from several sensors. The priority of the team was deliver a robot capable of localizing it self on a pool, with more reliability from all hardware and mechanical systems. We have developed a echo-localization algorithm based on the traditional beamforming that considers both time and frequency in order to have a faster and less power intensive procedure, Simulation showed that our algorithm achieved those objectives.

[1]  Wen Chen,et al.  Joint Algorithm Based on Interference Suppression and Kalman Filter for Bearing-Only Weak Target Robust Tracking , 2019, IEEE Access.

[2]  Peter Norvig,et al.  A Survey of Current Practice and Teaching of AI , 2016, AAAI.

[3]  Alex Zelinsky,et al.  Learning OpenCV---Computer Vision with the OpenCV Library (Bradski, G.R. et al.; 2008)[On the Shelf] , 2009, IEEE Robotics & Automation Magazine.

[4]  Eduardo A. B. da Silva,et al.  Digital Signal Processing: System Analysis and Design , 2002 .

[5]  W. Marsden I and J , 2012 .

[6]  J. M. M. Montiel,et al.  ORB-SLAM: A Versatile and Accurate Monocular SLAM System , 2015, IEEE Transactions on Robotics.

[7]  Antonio Barrientos,et al.  Multi-robot Systems, Virtual Reality and ROS: Developing a New Generation of Operator Interfaces , 2019 .

[8]  G. G. Stokes "J." , 1890, The New Yale Book of Quotations.

[9]  David C. Conner,et al.  Flexible Navigation: Finite state machine-based integrated navigation and control for ROS enabled robots , 2017, SoutheastCon 2017.

[10]  J. L. Roux An Introduction to the Kalman Filter , 2003 .

[11]  Duane C. Hanselman,et al.  Mastering MATLAB , 2004 .

[12]  Jonas Schmitt,et al.  Mastering Matlab 7 , 2016 .

[13]  Fathi H. Ghorbel,et al.  An Ideation and Roadmapping Workshop on the Development of AUVs for Oil & Gas Subsea Applications , 2019, Day 3 Wed, May 08, 2019.

[14]  Daniel R. Figueiredo,et al.  Influence of Location and Number of Landmarks on the Monte Carlo Localization Problem , 2018, Anais do XV Encontro Nacional de Inteligência Artificial e Computacional (ENIAC 2018).

[15]  Mehdi Emami,et al.  Implementation and performance comparison of indirect Kalman filtering approaches for AUV integrated navigation system using low cost IMU , 2013, 2013 21st Iranian Conference on Electrical Engineering (ICEE).