20 citations · 32 across the 4 of their papers we have counts for
10 papers
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…
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…
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…
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…
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…
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…