activity
20222026
most citedReal-Time Planning Under Uncertainty for AUVs Using Virtual Maps

2 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2026

Towards Versatile Opti-Acoustic Sensor Fusion and Volumetric Mapping

Ivana Collado-Gonzalez, John McConnell, Brendan Englot

Accurate 3D volumetric mapping is critical for autonomous underwater vehicles operating in obstacle-rich environments. Vision-based perception provides high-resolution data but fai…

cs.RO2025★ 1 cited

Opti-Acoustic Scene Reconstruction in Highly Turbid Underwater Environments

Ivana Collado-Gonzalez, John McConnell, Paul Szenher +1

Scene reconstruction is an essential capability for underwater robots navigating in close proximity to structures. Monocular vision-based reconstruction methods are unreliable in t…

cs.RO2024

Large-Scale Dense 3D Mapping Using Submaps Derived From Orthogonal Imaging Sonars

John McConnell, Ivana Collado-Gonzalez, Paul Szenher +1

3D situational awareness is critical for any autonomous system. However, when operating underwater, environmental conditions often dictate the use of acoustic sensors. These acoust…

cs.RO2024★ 2 cited

Real-Time Planning Under Uncertainty for AUVs Using Virtual Maps

Ivana Collado-Gonzalez, John McConnell, Jinkun Wang +2

Reliable localization is an essential capability for marine robots navigating in GPS-denied environments. SLAM, commonly used to mitigate dead reckoning errors, still fails in feat…

cs.RO2022★ 1 cited

DRACo-SLAM: Distributed Robust Acoustic Communication-efficient SLAM for Imaging Sonar Equipped Underwater Robot Teams

John McConnell, Yewei Huang, Paul Szenher +2

An essential task for a multi-robot system is generating a common understanding of the environment and relative poses between robots. Cooperative tasks can be executed only when a…