2 citations · 4 across the 11 of their papers we have counts for
12 papers
Above and Below: Heterogeneous Multi-robot SLAM Across Surface and Underwater Domains
John McConnell, Armon Shariati, Paul Szenher +1
Multi-robot simultaneous localization and mapping (SLAM) is a fundamental task in multi-robot operations. Robots must have a common understanding of their location and that of thei…
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…
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…
DRACo-SLAM2: Distributed Robust Acoustic Communication-efficient SLAM for Imaging Sonar EquippedUnderwater Robot Teams with Object Graph Matching
Yewei Huang, John McConnell, Xi Lin +1
We present DRACo-SLAM2, a distributed SLAM framework for underwater robot teams equipped with multibeam imaging sonar. This framework improves upon the original DRACo-SLAM by intro…
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…
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…
Robust Unmanned Surface Vehicle Navigation with Distributional Reinforcement Learning
Xi Lin, John McConnell, Brendan Englot
Autonomous navigation of Unmanned Surface Vehicles (USV) in marine environments with current flows is challenging, and few prior works have addressed the sensorbased navigation pro…
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…
Virtual Maps for Autonomous Exploration of Cluttered Underwater Environments
Jinkun Wang, Fanfei Chen, Yewei Huang +3
We consider the problem of autonomous mobile robot exploration in an unknown environment, taking into account a robot's coverage rate, map uncertainty, and state estimation uncerta…
Overhead Image Factors for Underwater Sonar-based SLAM
John McConnell, Fanfei Chen, Brendan Englot
Simultaneous localization and mapping (SLAM) is a critical capability for any autonomous underwater vehicle (AUV). However, robust, accurate state estimation is still a work in pro…
Predictive 3D Sonar Mapping of Underwater Environments via Object-specific Bayesian Inference
John McConnell, Brendan Englot
Recent work has achieved dense 3D reconstruction with wide-aperture imaging sonar using a stereo pair of orthogonally oriented sonars. This allows each sonar to observe a spatial d…
Fusing Concurrent Orthogonal Wide-aperture Sonar Images for Dense Underwater 3D Reconstruction
John McConnell, John D. Martin, Brendan Englot
We propose a novel approach to handling the ambiguity in elevation angle associated with the observations of a forward looking multi-beam imaging sonar, and the challenges it poses…