activity
20152020
most citedGaussian Process Autonomous Mapping and Exploration for Range Sensing Mobile Robots

89 citations · 375 across the 17 of their papers we have counts for

collaborators

18 papers

cs.RO2020

Deep Samplable Observation Model for Global Localization and Kidnapping

Runjian Chen, Huan Yin, Yanmei Jiao +3

Global localization and kidnapping are two challenging problems in robot localization. The popular method, Monte Carlo Localization (MCL) addresses the problem by iteratively updat…

cs.CV2020★ 75 cited

Dynamic Reconstruction of Deformable Soft-tissue with Stereo Scope in Minimal Invasive Surgery

Jingwei Song, Jun Wang, Liang Zhao +2

In minimal invasive surgery, it is important to rebuild and visualize the latest deformed shape of soft-tissue surfaces to mitigate tissue damages. This paper proposes an innovativ…

cs.RO2019★ 2 cited

An observable time series based SLAM algorithm for deforming environment

Jingwei Song, Liang Zhao, Shoudong Huang +1

In this paper, we study the back-end of simultaneous localization and mapping (SLAM) problem in deforming environment, where robot localizes itself and tracks multiple non-rigid so…

cs.RO2018

Linear SLAM: Linearising the SLAM Problems using Submap Joining

Liang Zhao, Shoudong Huang, Gamini Dissanayake

The main contribution of this paper is a new submap joining based approach for solving large-scale Simultaneous Localization and Mapping (SLAM) problems. Each local submap is indep…

cs.RO2018

Parallax Bundle Adjustment on Manifold with Convexified Initialization

Liyang Liu, Teng Zhang, Yi Liu +4

Bundle adjustment (BA) with parallax angle based feature parameterization has been shown to have superior performance over BA using inverse depth or XYZ feature forms. In this pape…

cs.CV2018★ 3 cited

MIS-SLAM: Real-time Large Scale Dense Deformable SLAM System in Minimal Invasive Surgery Based on Heterogeneous Computing

Jingwei Song, Jun Wang, Liang Zhao +2

Real-time simultaneously localization and dense mapping is very helpful for providing Virtual Reality and Augmented Reality for surgeons or even surgical robots. In this paper, we…

cs.RO2017★ 13 cited

A Radio-Inertial Localization and Tracking System with BLE Beacons Prior Maps

Maani Ghaffari Jadidi, Mitesh Patel, Jaime Valls Miro +3

In this paper, we develop a system for the low-cost indoor localization and tracking problem using radio signal strength indicator, Inertial Measurement Unit (IMU), and magnetomete…

cs.RO2017★ 10 cited

An Invariant-EKF VINS Algorithm for Improving Consistency

Teng Zhang, Kanzhi Wu, Daobilige Su +2

The main contribution of this paper is an invariant extended Kalman filter (EKF) for visual inertial navigation systems (VINS). It is demonstrated that the conventional EKF based V…

cs.RO2017

Convergence and Consistency Analysis for A 3D Invariant-EKF SLAM

Teng Zhang, Kanzhi Wu, Jingwei Song +2

In this paper, we investigate the convergence and consistency properties of an Invariant-Extended Kalman Filter (RI-EKF) based Simultaneous Localization and Mapping (SLAM) algorith…

cs.RO2017★ 26 cited

Warped Gaussian Processes Occupancy Mapping with Uncertain Inputs

Maani Ghaffari Jadidi, Jaime Valls Miro, Gamini Dissanayake

In this paper, we study extensions to the Gaussian Processes (GPs) continuous occupancy mapping problem. There are two classes of occupancy mapping problems that we particularly in…

cs.RO2016

Designing Sparse Reliable Pose-Graph SLAM: A Graph-Theoretic Approach

Kasra Khosoussi, Gaurav S. Sukhatme, Shoudong Huang +1

In this paper, we aim to design sparse D-optimal (determinantoptimal) pose-graph SLAM problems through the synthesis of sparse graphs with the maximum weighted number of spanning t…

cs.CE2016★ 1 cited

From the Skin-Depth Equation to the Inverse RFEC Sensor Model

Raphael Falque, Teresa Vidal-Calleja, Gamini Dissanayake +1

In this paper, we tackle the direct and inverse problems for the Remote-Field Eddy-Current (RFEC) technology. The direct problem is the sensor model, where given the geometry the m…

cs.RO2016★ 20 cited

Fast, On-board, Model-aided Visual-Inertial Odometry System for Quadrotor Micro Aerial Vehicles

Dinuka Abeywardena, Shoudong Huang, Ben Barnes +2

The main contribution of this paper is a high frequency, low-complexity, on-board visual-inertial odometry system for quadrotor micro air vehicles. The system consists of an extend…

cs.RO2016★ 61 cited

Sampling-based Incremental Information Gathering with Applications to Robotic Exploration and Environmental Monitoring

Maani Ghaffari Jadidi, Jaime Valls Miro, Gamini Dissanayake

In this article, we propose a sampling-based motion planning algorithm equipped with an information-theoretic convergence criterion for incremental informative motion planning. The…

cs.RO2016★ 89 cited

Gaussian Process Autonomous Mapping and Exploration for Range Sensing Mobile Robots

Maani Ghaffari Jadidi, Jaime Valls Miro, Gamini Dissanayake

Most of the existing robotic exploration schemes use occupancy grid representations and geometric targets known as frontiers. The occupancy grid representation relies on the assump…

cs.DS2016★ 4 cited

Maximizing the Weighted Number of Spanning Trees: Near--Optimal Graphs

Kasra Khosoussi, Gaurav S. Sukhatme, Shoudong Huang +1

Designing well-connected graphs is a fundamental problem that frequently arises in various contexts across science and engineering. The weighted number of spanning trees, as a conn…

cs.RO2016★ 1 cited

RISAS: A Novel Rotation, Illumination, Scale Invariant Appearance and Shape Feature

Kanzhi Wu, Xiaoyang Li, Ravindra Ranasinghe +2

This paper presents a novel appearance and shape feature, RISAS, which is robust to viewpoint, illumination, scale and rotation variations. RISAS consists of a keypoint detector an…

cs.RO2015★ 70 cited

Improved State Estimation in Quadrotor MAVs: A Novel Drift-Free Velocity Estimator

Dinuka Abeywardena, Sarath Kodagoda, Gamini Dissanayake +1

This paper describes the synthesis and evaluation of a novel state estimator for a Quadrotor Micro Aerial Vehicle. Dynamic equations which relate acceleration, attitude and the aer…