activity
20192022
most citedLIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping

101 citations · 142 across the 7 of their papers we have counts for

collaborators

9 papers

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.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…

cs.RO20204 cited

A Receding Horizon Multi-Objective Planner for Autonomous Surface Vehicles in Urban Waterways

Tixiao Shan, Wei Wang, Brendan Englot +2

We propose a novel receding horizon planner for an autonomous surface vehicle (ASV) performing path planning in urban waterways. Feasible paths are found by repeatedly generating a…

cs.RO20205 cited

Roboat II: A Novel Autonomous Surface Vessel for Urban Environments

Wei Wang, Tixiao Shan, Pietro Leoni +4

This paper presents a novel autonomous surface vessel (ASV), called Roboat II for urban transportation. Roboat II is capable of accurate simultaneous localization and mapping (SLAM…