59 citations · 62 across the 7 of their papers we have counts for
12 papers
IBURD: Image Blending for Underwater Robotic Detection
Jungseok Hong, Sakshi Singh, Junaed Sattar
We present an image blending pipeline, \textit{IBURD}, that creates realistic synthetic images to assist in the training of deep detectors for use on underwater autonomous vehicles…
Diver Identification Using Anthropometric Data Ratios for Underwater Multi-Human-Robot Collaboration
Jungseok Hong, Sadman Sakib Enan, Junaed Sattar
Recent advances in efficient design, perception algorithms, and computing hardware have made it possible to create improved human-robot interaction (HRI) capabilities for autonomou…
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…
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…
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…
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…