activity
20202022
most citedStructure PLP-SLAM: Efficient Sparse Mapping and Localization using Point, Line and Plane for Monocular, RGB-D and Stereo Cameras

4 citations · 8 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV2022★ 4 cited

Structure PLP-SLAM: Efficient Sparse Mapping and Localization using Point, Line and Plane for Monocular, RGB-D and Stereo Cameras

Fangwen Shu, Jiaxuan Wang, Alain Pagani +1

This paper presents a visual SLAM system that uses both points and lines for robust camera localization, and simultaneously performs a piece-wise planar reconstruction (PPR) of the…

cs.CV2021

PlaneRecNet: Multi-Task Learning with Cross-Task Consistency for Piece-Wise Plane Detection and Reconstruction from a Single RGB Image

Yaxu Xie, Fangwen Shu, Jason Rambach +2

Piece-wise 3D planar reconstruction provides holistic scene understanding of man-made environments, especially for indoor scenarios. Most recent approaches focused on improving the…

cs.CV2021

Visual SLAM with Graph-Cut Optimized Multi-Plane Reconstruction

Fangwen Shu, Yaxu Xie, Jason Rambach +2

This paper presents a semantic planar SLAM system that improves pose estimation and mapping using cues from an instance planar segmentation network. While the mainstream approaches…

cs.CV2021★ 3 cited

PlaneSegNet: Fast and Robust Plane Estimation Using a Single-stage Instance Segmentation CNN

Yaxu Xie, Jason Rambach, Fangwen Shu +1

Instance segmentation of planar regions in indoor scenes benefits visual SLAM and other applications such as augmented reality (AR) where scene understanding is required. Existing…

cs.CV2020★ 1 cited

SLAM in the Field: An Evaluation of Monocular Mapping and Localization on Challenging Dynamic Agricultural Environment

Fangwen Shu, Paul Lesur, Yaxu Xie +2

This paper demonstrates a system capable of combining a sparse, indirect, monocular visual SLAM, with both offline and real-time Multi-View Stereo (MVS) reconstruction algorithms.…