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Found 10 papers, 3 papers with code
Real-Time Dense 3D Mapping of Underwater Environments
To address this problem, we propose to use SVIn2, a robust VIO method, together with a real-time 3D reconstruction pipeline.
SM/VIO: Robust Underwater State Estimation Switching Between Model-based and Visual Inertial Odometry
This paper addresses the robustness problem of visual-inertial state estimation for underwater operations.
Weakly Supervised Caveline Detection For AUV Navigation Inside Underwater Caves
Mapping underwater caves is a time-consuming, labor-intensive, and hazardous operation.
High Definition, Inexpensive, Underwater Mapping
In this paper we present a complete framework for Underwater SLAM utilizing a single inexpensive sensor.
Average Outward Flux Skeletons for Environment Mapping and Topology Matching
In topology matching between two given maps and their AOF skeletons, we first find correspondences between points on the AOF skeletons of two different environments.
Dynamic Autonomous Surface Vehicle Control and Applications in Environmental Monitoring
This paper addresses the problem of robotic operations in the presence of adversarial forces.
DeepURL: Deep Pose Estimation Framework for Underwater Relative Localization
In this paper, we propose a real-time deep learning approach for determining the 6D relative pose of Autonomous Underwater Vehicles (AUV) from a single image.
Experimental Comparison of Open Source Visual-Inertial-Based State Estimation Algorithms in the Underwater Domain
A plethora of state estimation techniques have appeared in the last decade using visual data, and more recently with added inertial data.
Robotics
Efficient Multi-Robot Coverage of a Known Environment
In this paper we present two approximation heuristics for solving the multi-robot coverage problem.
Multi-robot Dubins Coverage with Autonomous Surface Vehicles
In particular, we propose a novel approach for solving the problem of complete coverage of a known environment by a multi-robot team consisting of Dubins vehicles.
