activity
20192023
most citedUnsupervised Learning of Depth and Ego-Motion from Cylindrical Panoramic Video

15 citations · 23 across the 4 of their papers we have counts for

collaborators

5 papers

cs.RO2023★ 1 cited

Acoustic Beamforming for Object-relative Distance Estimation and Control in Unmanned Air Vehicles using Propulsion System Noise

Alisha Sharma, Jason Geder, Joseph Lingevitch +3

Unmanned air vehicles often produce significant noise from their propulsion systems. Using this broadband signal as "acoustic illumination" for an auxiliary sensing system could ma…

cs.RO2022★ 1 cited

Data-Driven Machine Learning Models for a Multi-Objective Flapping Fin Unmanned Underwater Vehicle Control System

Julian Lee, Kamal Viswanath, Jason Geder +3

Flapping-fin unmanned underwater vehicle (UUV) propulsion systems provide high maneuverability for naval tasks such as surveillance and terrain exploration. Recent work has explore…

cs.CV2020★ 6 cited

Unsupervised Learning of Depth and Ego-Motion from Cylindrical Panoramic Video with Applications for Virtual Reality

Alisha Sharma, Ryan Nett, Jonathan Ventura

We introduce a convolutional neural network model for unsupervised learning of depth and ego-motion from cylindrical panoramic video. Panoramic depth estimation is an important tec…

physics.comp-ph2019

Evaluation of Surrogate Models for Multi-fin Flapping Propulsion Systems

Kamal Viswanath, Alisha Sharma, Saketh Gabbita +3

The aim of this study is to develop surrogate models for quick, accurate prediction of thrust forces generated through flapping fin propulsion for given operating conditions and fi…

cs.CV2019★ 15 cited

Unsupervised Learning of Depth and Ego-Motion from Cylindrical Panoramic Video

Alisha Sharma, Jonathan Ventura

We introduce a convolutional neural network model for unsupervised learning of depth and ego-motion from cylindrical panoramic video. Panoramic depth estimation is an important tec…