└── README.md /README.md: -------------------------------------------------------------------------------- 1 | # 室内定位或建图 + 深度学习 2 | >这里找的是关于室内定位或建图以及深度学习结合的文章，而且基本是使用视觉信息的。有些是已经发表了的，会议及时间写在名字后面了，其余的则是没有发表但是在arXiv上发布了的。 3 | - [Robot Localization in Floor Plans Using a Room Layout Edge Extraction Network IROS2019](https://arxiv.org/abs/1903.01804) 4 | 5 | - [Localization of Unmanned Aerial Vehicles in Corridor Environments using Deep Learning](https://arxiv.org/abs/1903.09021) 6 | 7 | - [DeepTAM: Deep Tracking and Mapping ECCV2018](http://openaccess.thecvf.com/content_ECCV_2018/papers/Huizhong_Zhou_DeepTAM_Deep_Tracking_ECCV_2018_paper.pdf) 8 | 9 | - [Learning to Reconstruct and Understand Indoor Scenes from Sparse Views](https://arxiv.org/abs/1906.07892) 10 | 11 | - [Indoor GeoNet: Weakly Supervised Hybrid Learning for Depth and Pose Estimation](https://arxiv.org/abs/1811.07461) 12 | 13 | # 经典文章 14 | > 这里是关于SLAM与深度学习结合的比较经典的文章 15 | - [Probabilistic Data Association for Semantic SLAM](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7989203) ICRA 2017 16 | 17 | - [VSO: Visual Semantic Odometry](http://openaccess.thecvf.com/content_ECCV_2018/papers/Konstantinos-Nektarios_Lianos_VSO_Visual_Semantic_ECCV_2018_paper.pdf) ECCV 2018 18 | 19 | - [Stereo Vision-based Semantic 3D Object and Ego-motion Tracking for Autonomous Driving](http://openaccess.thecvf.com/content_ECCV_2018/papers/Peiliang_LI_Stereo_Vision-based_Semantic_ECCV_2018_paper.pdf) ECCV 2018 20 | 21 | - [Long-term Visual Localization using Semantically Segmented Images](https://arxiv.org/pdf/1801.05269) ICRA 2018 22 | 23 | - [DynaSLAM: Tracking, Mapping, and Inpainting in Dynamic Scenes](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8421015) IROS 2018 24 | 25 | - [DS-SLAM: A Semantic Visual SLAM towards Dynamic Environments](https://arxiv.org/pdf/1809.08379) IROS 2018 26 | 27 | - [SemanticFusion: Dense 3D Semantic Mapping with Convolutional Neural Networks](http://wp.doc.ic.ac.uk/bjm113/wp-content/uploads/sites/113/2017/07/SemanticFusion_ICRA17_CameraReady.pdf) ICRA 2017 28 | 29 | - [MaskFusion: Real-Time Recognition, Tracking and Reconstruction of Multiple Moving Objects](https://arxiv.org/pdf/1804.09194) ISMAR 2018 30 | 31 | # CVPR 2019 32 | ## 三维重建 + 深度学习 33 | - Revealing Scenes by Inverting Structure from Motion Reconstructions 34 | - Deep Reinforcement Learning of Volume-guided Progressive View Inpainting for 3D Point Scene Completion from a Single Depth Image 35 | - What Do Single-view 3D Reconstruction Networks Learn? 36 | - Learning View Priors for Single-view 3D Reconstruction 37 | ## 定位 + 深度学习 38 | - Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation 39 | - Extreme Relative Pose Estimation for RGB-D Scans via Scene Completion 40 | - Understanding the Limitations of CNN-based Absolute Camera Pose Regression 41 | - DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion 42 | - Segmentation-driven 6D Object Pose Estimation 43 | - PointFlowNet: Learning Representations for Rigid Motion Estimation from Point Clouds 44 | - From Coarse to Fine: Robust Hierarchical Localization at Large Scale 45 | 46 | # ICRA 2019 47 | > 这里摘录的是ICRA 2019的文章列表中看上去内容相近或者比较感兴趣的文章名称 48 | - Autonomous Exploration, Reconstruction, and Surveillance of 3D Environments Aided by Deep Learning 49 | - Sparse2Dense - From Direct Sparse Odometry to Dense 3D Reconstruction 50 | - A Variational Observation Model of 3D Object for Probabilistic Semantic SLAM 51 | - Hierarchical Depthwise Graph Convolutional Neural Network for 3D Semantic Segmentation of Point Clouds 52 | - Robust 3D Object Classification by Combining Point Pair Features and Graph Convolution 53 | - A Fast and Robust 3D Person Detector and Posture Estimator for Mobile Robotic Applications 54 | - ScalableFusion - High-Resolution Mesh-Based Real-Time 3D Reconstruction 55 | - Dense 3D Visual Mapping Via Semantic Simplification 56 | - 2D3D-MatchNet - Learning to Match Keypoints across 2D Image and 3D Point Cloud 57 | - Prediction Maps for Real-Time 3D Footstep Planning in Dynamic Environments 58 | - DeepFusion - Real-Time Dense 3D Reconstruction for Monocular SLAM Using Single-View Depth and Gradient Predictions 59 | - MVX-Net - Multimodal VoxelNet for 3D Object Detection 60 | - Sparse2Dense - From Direct Sparse Odometry to Dense 3D Reconstruction 61 | - On-Line 3D Active Pose-Graph SLAM Based on Key Poses Using Graph Topology and Sub-Maps 62 | - Tightly-Coupled Visual-Inertial Localization and 3D Rigid-Body Target Tracking 63 | 64 | 65 | --------------------------------------------------------------------------------