1.1k citations · 1.2k across the 5 of their papers we have counts for
5 papers
SM/VIO: Robust Underwater State Estimation Switching Between Model-based and Visual Inertial Odometry
Bharat Joshi, Hunter Damron, Sharmin Rahman +1
This paper addresses the robustness problem of visual-inertial state estimation for underwater operations. Underwater robots operating in a challenging environment are required to…
High Definition, Inexpensive, Underwater Mapping
Bharat Joshi, Marios Xanthidis, Sharmin Rahman +1
In this paper we present a complete framework for Underwater SLAM utilizing a single inexpensive sensor. Over the recent years, imaging technology of action cameras is producing st…
Experimental Comparison of Open Source Visual-Inertial-Based State Estimation Algorithms in the Underwater Domain
Bharat Joshi, Sharmin Rahman, Michail Kalaitzakis +8
A plethora of state estimation techniques have appeared in the last decade using visual data, and more recently with added inertial data. Datasets typically used for evaluation inc…
Navigation in the Presence of Obstacles for an Agile Autonomous Underwater Vehicle
Marios Xanthidis, Nare Karapetyan, Hunter Damron +5
Navigation underwater traditionally is done by keeping a safe distance from obstacles, resulting in "fly-overs" of the area of interest. Movement of an autonomous underwater vehicl…
SVIn2: An Underwater SLAM System using Sonar, Visual, Inertial, and Depth Sensor
Sharmin Rahman, Alberto Quattrini Li, Ioannis Rekleitis
This paper presents a novel tightly-coupled keyframe-based Simultaneous Localization and Mapping (SLAM) system with loop-closing and relocalization capabilities targeted for the un…