SJTU-ViSYS

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

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

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

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

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

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

SLAM_Evaluation. 🛠️ SLAM evaluation tool (supplement for EVO)

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

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

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

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

IUAVC-Positioning-Challenge. 无人飞行器智能感知技术竞赛-精准定位

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