activity
20172023
most citedClosed-form Preintegration Methods for Graph-based Visual-Inertial Navigation

82 citations · 203 across the 23 of their papers we have counts for

collaborators
Showing 2018Show all

5 papers · 1 filter

cs.RO2018★ 27 cited

Lightweight Unsupervised Deep Loop Closure

Nate Merrill, Guoquan Huang

Robust efficient loop closure detection is essential for large-scale real-time SLAM. In this paper, we propose a novel unsupervised deep neural network architecture of a feature em…

cs.RO2018★ 2 cited

Visual-Inertial Target Tracking and Motion Planning for UAV-based Radiation Detection

Indrajeet Yadav, Kevin Eckenhoff, Guoquan Huang +1

This paper addresses the problem of detecting radioactive material in transit using an UAV of minimal sensing capability, where the objective is to classify the target's radioactiv…

math.OC2018★ 3 cited

Observability Analysis of Aided INS with Heterogeneous Features of Points, Lines and Planes

Yulin Yang, Guoquan Huang

In this paper, we perform a thorough observability analysis for linearized inertial navigation systems (INS) aided by exteroceptive range and/or bearing sensors (such as cameras, L…

cs.RO2018★ 6 cited

Robocentric Visual-Inertial Odometry

Zheng Huai, Guoquan Huang

In this paper, we propose a novel robocentric formulation of the visual-inertial navigation system (VINS) within a sliding-window filtering framework and design an efficient, light…

cs.RO2018★ 82 cited

Closed-form Preintegration Methods for Graph-based Visual-Inertial Navigation

Kevin Eckenhoff, Patrick Geneva, Guoquan Huang

In this paper we propose a new analytical preintegration theory for graph-based sensor fusion with an inertial measurement unit (IMU) and a camera (or other aiding sensors).Rather…