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Sensors 2016, 16(3), 380; doi:10.3390/s16030380

Validation of Underwater Sensor Package Using Feature Based SLAM

1
SEW-EURODRIVE, Lyman, SC 29365, USA
2
Department of Mechanical Engineering, Center for Dynamic Systems Modeling and Control, Virginia Tech, Blacksburg, VA 24061, USA
*
Author to whom correspondence should be addressed.
Academic Editor: Jaime Lloret Mauri
Received: 14 December 2015 / Revised: 2 March 2016 / Accepted: 4 March 2016 / Published: 17 March 2016
(This article belongs to the Special Issue Underwater Sensor Nodes and Underwater Sensor Networks 2016)

Abstract

Robotic vehicles working in new, unexplored environments must be able to locate themselves in the environment while constructing a picture of the objects in the environment that could act as obstacles that would prevent the vehicles from completing their desired tasks. In enclosed environments, underwater range sensors based off of acoustics suffer performance issues due to reflections. Additionally, their relatively high cost make them less than ideal for usage on low cost vehicles designed to be used underwater. In this paper we propose a sensor package composed of a downward facing camera, which is used to perform feature tracking based visual odometry, and a custom vision-based two dimensional rangefinder that can be used on low cost underwater unmanned vehicles. In order to examine the performance of this sensor package in a SLAM framework, experimental tests are performed using an unmanned ground vehicle and two feature based SLAM algorithms, the extended Kalman filter based approach and the Rao-Blackwellized, particle filter based approach, to validate the sensor package. View Full-Text
Keywords: underwater range finder; EKF SLAM; FastSLAM; SLAM; vision range finder; vision odometry underwater range finder; EKF SLAM; FastSLAM; SLAM; vision range finder; vision odometry
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Cain, C.; Leonessa, A. Validation of Underwater Sensor Package Using Feature Based SLAM. Sensors 2016, 16, 380.

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