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20172023
most citedTrashCan: A Semantically-Segmented Dataset towards Visual Detection of Marine Debris

59 citations · 88 across the 15 of their papers we have counts for

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16 papers · 1 filter

cs.RO2023

Robotic Detection and Estimation of Single Scuba Diver Respiration Rate from Underwater Video

Demetrious T. Kutzke, Junaed Sattar

Human respiration rate (HRR) is an important physiological metric for diagnosing a variety of health conditions from stress levels to heart conditions. Estimation of HRR is well-st…

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.RO2021

ROW-SLAM: Under-Canopy Cornfield Semantic SLAM

Jiacheng Yuan, Jungseok Hong, Junaed Sattar +1

We study a semantic SLAM problem faced by a robot tasked with autonomous weeding under the corn canopy. The goal is to detect corn stalks and localize them in a global coordinate f…

cs.RO2021

Semantically-Aware Strategies for Stereo-Visual Robotic Obstacle Avoidance

Jungseok Hong, Karin de Langis, Cole Wyeth +2

Mobile robots in unstructured, mapless environments must rely on an obstacle avoidance module to navigate safely. The standard avoidance techniques estimate the locations of obstac…

cs.RO20202 cited

Visual Diver Face Recognition for Underwater Human-Robot Interaction

Jungseok Hong, Sadman Sakib Enan, Christopher Morse +1

This paper presents a deep-learned facial recognition method for underwater robots to identify scuba divers. Specifically, the proposed method is able to recognize divers underwate…

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…