59 citations · 117 across the 6 of their papers we have counts for
8 papers
SPADE: Sparsity Adaptive Depth Estimator for Zero-Shot, Real-Time, Monocular Depth Estimation in Underwater Environments
Hongjie Zhang, Gideon Billings, Stefan B. Williams
Underwater infrastructure requires frequent inspection and maintenance due to harsh marine conditions. Current reliance on human divers or remotely operated vehicles is limited by…
Metrically Scaled Monocular Depth Estimation through Sparse Priors for Underwater Robots
Luca Ebner, Gideon Billings, Stefan Williams
In this work, we address the problem of real-time dense depth estimation from monocular images for mobile underwater vehicles. We formulate a deep learning model that fuses sparse…
Enhancing scientific exploration of the deep sea through shared autonomy in remote manipulation
Amy Phung, Gideon Billings, Andrea F. Daniele +2
Shared autonomy enables novice remote users to conduct deep-ocean science operations with robotic manipulators.
Towards Automated Sample Collection and Return in Extreme Underwater Environments
Gideon Billings, Matthew Walter, Oscar Pizarro +2
In this report, we present the system design, operational strategy, and results of coordinated multi-vehicle field demonstrations of autonomous marine robotic technologies in searc…
Hybrid Visual SLAM for Underwater Vehicle Manipulator Systems
Gideon Billings, Richard Camilli, Matthew Johnson-Roberson
This paper presents a novel visual feature based scene mapping method for underwater vehicle manipulator systems (UVMSs), with specific emphasis on robust mapping in natural seaflo…
Parametric Design of Underwater Optical Systems
Gideon Billings, Eduardo Iscar, Matthew Johnson-Roberson
The design of optical systems for underwater vehicles is a complex process where the selection of cameras, lenses, housings, and operational parameters greatly influence the perfor…
SilhoNet-Fisheye: Adaptation of A ROI Based Object Pose Estimation Network to Monocular Fisheye Images
Gideon Billings, Matthew Johnson-Roberson
There has been much recent interest in deep learning methods for monocular image based object pose estimation. While object pose estimation is an important problem for autonomous r…
SilhoNet: An RGB Method for 6D Object Pose Estimation
Gideon Billings, Matthew Johnson-Roberson
Autonomous robot manipulation involves estimating the translation and orientation of the object to be manipulated as a 6-degree-of-freedom (6D) pose. Methods using RGB-D data have…