activity
20182022
most citedLIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping

101 citations · 139 across the 11 of their papers we have counts for

collaborators

18 papers

cs.RO20221 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…

cs.RO2022

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…

cs.RO2022

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…

cs.RO202129 cited

LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping

Tixiao Shan, Brendan Englot, Carlo Ratti +1

We propose a framework for tightly-coupled lidar-visual-inertial odometry via smoothing and mapping, LVI-SAM, that achieves real-time state estimation and map-building with high ac…

cs.RO2021

Zero-Shot Reinforcement Learning on Graphs for Autonomous Exploration Under Uncertainty

Fanfei Chen, Paul Szenher, Yewei Huang +4

This paper studies the problem of autonomous exploration under localization uncertainty for a mobile robot with 3D range sensing. We present a framework for self-learning a high-pe…

cs.CV20211 cited

Robust Place Recognition using an Imaging Lidar

Tixiao Shan, Brendan Englot, Fabio Duarte +2

We propose a methodology for robust, real-time place recognition using an imaging lidar, which yields image-quality high-resolution 3D point clouds. Utilizing the intensity reading…