activity
20202023
most citedCo-Planar Parametrization for Stereo-SLAM and Visual-Inertial Odometry

32 citations · 40 across the 8 of their papers we have counts for

collaborators

8 papers

cs.RO2023

Open-Structure: Structural Benchmark Dataset for SLAM Algorithms

Yanyan Li, Zhao Guo, Ze Yang +3

This paper presents Open-Structure, a novel benchmark dataset for evaluating visual odometry and SLAM methods. Compared to existing public datasets that primarily offer raw images,…

cs.CV2022

E-Graph: Minimal Solution for Rigid Rotation with Extensibility Graphs

Yanyan Li, Federico Tombari

Minimal solutions for relative rotation and translation estimation tasks have been explored in different scenarios, typically relying on the so-called co-visibility graph. However,…

cs.CV2021★ 1 cited

Semantic Dense Reconstruction with Consistent Scene Segments

Yingcai Wan, Yanyan Li, Yingxuan You +3

In this paper, a method for dense semantic 3D scene reconstruction from an RGB-D sequence is proposed to solve high-level scene understanding tasks. First, each RGB-D pair is consi…

cs.CV2021★ 2 cited

SRH-Net: Stacked Recurrent Hourglass Network for Stereo Matching

Hongzhi Du, Yanyan Li, Yanbiao Sun +2

The cost aggregation strategy shows a crucial role in learning-based stereo matching tasks, where 3D convolutional filters obtain state of the art but require intensive computation…

cs.CV2021

ManhattanSLAM: Robust Planar Tracking and Mapping Leveraging Mixture of Manhattan Frames

Raza Yunus, Yanyan Li, Federico Tombari

In this paper, a robust RGB-D SLAM system is proposed to utilize the structural information in indoor scenes, allowing for accurate tracking and efficient dense mapping on a CPU. P…

cs.RO2020

RGB-D SLAM with Structural Regularities

Yanyan Li, Raza Yunus, Nikolas Brasch +2

This work proposes a RGB-D SLAM system specifically designed for structured environments and aimed at improved tracking and mapping accuracy by relying on geometric features that a…

cs.RO2020★ 32 cited

Co-Planar Parametrization for Stereo-SLAM and Visual-Inertial Odometry

Xin Li, Yanyan Li, Evin Pınar Örnek +2

This work proposes a novel SLAM framework for stereo and visual inertial odometry estimation. It builds an efficient and robust parametrization of co-planar points and lines which…

cs.RO2020★ 5 cited

Structure-SLAM: Low-Drift Monocular SLAM in Indoor Environments

Yanyan Li, Nikolas Brasch, Yida Wang +2

In this paper a low-drift monocular SLAM method is proposed targeting indoor scenarios, where monocular SLAM often fails due to the lack of textured surfaces. Our approach decouple…