activity
20182022
most citedTrashCan: A Semantically-Segmented Dataset towards Visual Detection of Marine Debris

59 citations · 78 across the 11 of their papers we have counts for

collaborators

12 papers

cs.HC2022

HREyes: Design, Development, and Evaluation of a Novel Method for AUVs to Communicate Information and Gaze Direction

Michael Fulton, Aditya Prabhu, Junaed Sattar

We present the design, development, and evaluation of HREyes: biomimetic communication devices which use light to communicate information and, for the first time, gaze direction fr…

cs.RO2022

Robotic Detection of a Human-Comprehensible Gestural Language for Underwater Multi-Human-Robot Collaboration

Sadman Sakib Enan, Michael Fulton, Junaed Sattar

In this paper, we present a motion-based robotic communication framework that enables non-verbal communication among autonomous underwater vehicles (AUVs) and human divers. We desi…

cs.RO2021

Using Monocular Vision and Human Body Priors for AUVs to Autonomously Approach Divers

Michael Fulton, Jungseok Hong, Junaed Sattar

Direct communication between humans and autonomous underwater vehicles (AUVs) is a relatively underexplored area in human-robot interaction (HRI) research, although many tasks (\eg…

cs.CV2020★ 11 cited

An Analysis of Deep Object Detectors For Diver Detection

Karin de Langis, Michael Fulton, Junaed Sattar

With the end goal of selecting and using diver detection models to support human-robot collaboration capabilities such as diver following, we thoroughly analyze a large set of deep…

cs.CV2020★ 59 cited

TrashCan: A Semantically-Segmented Dataset towards Visual Detection of Marine Debris

Jungseok Hong, Michael Fulton, Junaed Sattar

This paper presents TrashCan, a large dataset comprised of images of underwater trash collected from a variety of sources, annotated both using bounding boxes and segmentation labe…

cs.RO2020

Design and Experiments with LoCO AUV: A Low Cost Open-Source Autonomous Underwater Vehicle

Chelsey Edge, Sadman Sakib Enan, Michael Fulton +8

In this paper we present LoCO AUV, a Low-Cost, Open Autonomous Underwater Vehicle. LoCO is a general-purpose, single-person-deployable, vision-guided AUV, rated to a depth of 100 m…