SJTU-ViSYS

M2DGR

M2DGR： a Multi-modal and Multi-scenario Dataset for Ground Robots(RA-L2021 & ICRA2022)

FeatureBooster

FeatureBooster: Boosting Feature Descriptors with a Lightweight Neural Network (CVPR 2023)

Ground-Fusion

Ground-Fusion: A Low-cost Ground SLAM System Robust to Corner Cases (ICRA2024)

TextSLAM

📍TextSLAM: Visual SLAM with Semantic Planar Text Features. (ICRA2020 & TPAMI2023)

StructDepth

🏠 PyTorch implementation of our ICCV2021 paper: StructDepth: Leveraging the structural regularities for self-supervised indoor depth estimation

M2DGR-plus

Extension and update of M2DGR: a novel Multi-modal and Multi-scenario SLAM Dataset for Ground Robots (ICRA2022 & ICRA2024)

SLAM_Evaluation

🛠️ SLAM evaluation tool (supplement for EVO)

multi-instant-reg

The source code of the CVPR paper "Multi-instance Point Cloud Registration by Efficient Correspondence Clustering"

Sky-GVINS

Sky-GVINS: a Sky-segmentation Aided GNSS-Visual-Inertial System for Navigation in Urban Canyons(Geo-spatial Information and Science)

TextSLAM-Dataset

🤖 Dataset for TextSLAM: Visual SLAM with Semantic Planar Text Features. (ICRA2020 & TPAMI2023)

IUAVC-Positioning-Challenge

无人飞行器智能感知技术竞赛-精准定位

SDG-Depth

Stereo-LiDAR Depth Estimation with Deformable Propagation and Learned Disparity-Depth Conversion (ICRA2024)

Indoor-SfMLearner

[ECCV'20] Patch-match and Plane-regularization for Unsupervised Indoor Depth Estimation

ntu-aris.github.io

TextSLAM.github.io

SJTU-ViSYS.github.io

TextSLAM.github.io-1

Leverage texts to "read" our world.