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ICRA-2022-SLAM-paper-list

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Unofficial ICRA 2022 SLAM paper list

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# ICRA-2022-SLAM-paper-list

This repository is a collection of papers related to SLAM for personal research purposes.  
Based on [Infovoya](https://events.infovaya.com/event?id=88), categories were sorted by myself.  
If there are any missing papers or incorrect information, please feel free to contact me or leave an issue.

The title in **bold** is outstanding paper.

## Table of contents  
- [ICRA 2022 workshop related to SLAM](#icra-2022-workshop-related-to-slam)  
- [Dataset](#dataset)
- [Visual odometry / Visual SLAM / Structure-From-Motion](#visual-odometry--visual-slam--structure-from-motion)  
- [Visual-inertial odometry / Visual-inertial SLAM](#visual-inertial-odometry--visual-inertial-slam)  
- [Visual localization / Visual place recognition](#visual-localization--visual-place-recognition)
- [LiDAR odometry / LiDAR SLAM](#lidar-odometry--lidar-slam)  
- [LiDAR-inertial odometry / LiDAR-inertial SLAM](#lidar-inertial-odometry--lidar-inertial-slam)  
- [LiDAR localization / LiDAR place recognition](#lidar-localization--lidar-place-recognition)
- [Point cloud registration](#point-cloud-registration)  
- [Sensor fusion](#sensor-fusion)  
- [Inertial odometry](#inertial-odometry)  
- [WiFi SLAM / WiFi Structure-From-Motion](#wifi-slam--wifi-structure-from-motion)  
- [Collaborative SLAM](#collaborative-slam)
- [Scene Flow](#scene-flow)

## ICRA 2022 workshop related to SLAM  
- Robotic Perception and Mapping: Emerging Techniques - [Website](https://sites.google.com/view/ropm)  
- Future of Construction: Build Faster, Better, Safer - Together with Robots - [Website](https://construction-robots.github.io/)  
- 6TH WORKSHOP ON LEGGED ROBOTS - [Website](https://leggedrobots.org/)  
- Canonical DIY Tutorials on Non-Gaussian SLAM and Computation - [Website](https://www.navability.io/icra-2022-non-gaussian-slam-workshop/)

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## Dataset  
- M2DGR: A Multi-Sensor and Multi-Scenario SLAM Dataset for Ground Robots

## Visual odometry / Visual SLAM / Structure-From-Motion  
- Burst Imaging for Light-Constrained Structure-From-Motion  
- Self-Supervised Depth and Ego-Motion Estimation for Monocular Thermal Video Using Multi-Spectral Consistency Loss  
- LoopNet: Where to Focus? Detecting Loop Closures in Dynamic Scenes  
- SimVODIS++: Neural Semantic Visual Odometry in Dynamic Environments  
- PANet: A Novel Pixel-Level Attention Network for 6D Pose Estimation with Embedding Vector Features  
- Overhead Image Factors for Underwater Sonar-Based SLAM  
- MotionHint: Self-Supervised Monocular Visual Odometry with Motion Constraints  
- Non-Penetration Iterative Closest Points for Single-View Multi-Object 6D Pose Estimation  
- **Translating Images into Maps**  
- **EDPLVO: Efficient Direct Point-Line Visual Odometry**  
- DEVO: Depth-Event Camera Visual Odometry in Challenging Conditions  
- **Precise 3D Reconstruction of Plants from UAV Imagery Combining Bundle Adjustment and Template Matching**  
- ROW-SLAM: Under-Canopy Cornfield Semantic SLAM  
- Loop Closure Detection and SLAM in Vineyards with Deep Semantic Cues  
- Spatial Acoustic Projection for 3D Imaging Sonar Reconstruction  
- Robust Semantic Mapping and Localization on a Free-Flying Robot in Microgravity  
- 360VO: Visual Odometry Using a Single 360 Camera  
- SAGE: SLAM with Appearance and Geometry Prior for Endoscopy  
- Towards Scale Consistent Monocular Visual Odometry by Learning from the Virtual World  
- Continuous-Time vs. Discrete-Time Vision-Based SLAM: A Comparative Study  
- DKNAS: A Practical Deep Keypoint Extraction Framework Based on Neural Architecture Search  
- **Precise 3D Reconstruction of Plants from UAV Imagery Combining Bundle Adjustment and Template Matching**  
- MSC-VO: Exploiting Manhattan and Structural Constraints for Visual Odometry  
- A Model for Multi-View Residual Covariances Based on Perspective Deformation  
- Incremental Abstraction in Distributed Probabilistic SLAM Graphs  
- UV-SLAM: Unconstrained Line-Based SLAM Using Vanishing Points for Structural Mapping  
- A Right Invariant Extended Kalman Filter for Object Based SLAM  
- Self-Supervised Ego-Motion Estimation Based on Multi-Layer Fusion of RGB and Inferred Depth  
- Visual Localization and Mapping Leveraging the Constraints of Local Ground Manifolds  
- Panoptic Multi-TSDFs: A Flexible Representation for Online Multi-Resolution Volumetric Mapping and Long-Term Dynamic Scene Consistency  
- FD-SLAM: 3-D Reconstruction Using Features and Dense Matching  
- AirDOS: Dynamic SLAM Benefits from Articulated Objects  
- A Real-Time Online Learning Framework for Joint 3D Reconstruction and Semantic Segmentation of Indoor Scenes  
- Vision-Based Large-Scale 3D Semantic Mapping for Autonomous Driving Applications  
- Efficient and Robust Semantic Mapping for Indoor Environments  
- Asynchronous Optimisation for Event-Based Visual Odometry  
- **Optimizing Terrain Mapping and Landing Site Detection for Autonomous UAVs**  
- Exploration with Global Consistency Using Real-Time Re-Integration and Active Loop Closure  
- SO-SLAM: Semantic Object SLAM with Scale Proportional and Symmetrical Texture Constraints  
- Accurate and Robust Object-Oriented SLAM with 3D Quadric Landmarks in Outdoors

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## Visual-inertial odometry / Visual-inertial SLAM  
- High Definition, Inexpensive, Underwater Mapping  
- GVINS: Tightly Coupled GNSS-Visual-Inertial Fusion for Smooth and Consistent State Estimation  
- AstroLoc: An Efficient and Robust Localizer for a Free-Flying Robot  
- VIP-SLAM: An Efficient Tightly-Coupled RGB-D Visual Inertial Planar SLAM  
- 1D-LRF Aided Visual-Inertial Odometry for High-Altitude MAV Flight  
- Tightly-Coupled Magneto-Visual-Inertial Fusion for Long Term Localization in Indoor Environment  
- Interval-Based Visual-Inertial LiDAR SLAM with Anchoring Poses  
- The Visual-Inertial-Dynamical Multirotor Dataset  
- Map-Based Visual-Inertial Localization: A Numerical Study  
- GPS-Denied Global Visual-Inertial Ground Vehicle State Estimation Via Image Registration  
- Integrating Point and Line Features for Visual-Inertial Initialization  
- Periodic SLAM: Using Cyclic Constraints to Improve the Performance of Visual-Inertial SLAM on Legged Robots  
- DM-VIO: Delayed Marginalization Visual-Inertial Odometry  
- Constrained Visual-Inertial Localization with Application and Benchmark in Laparoscopic Surgery  
- Balancing the Budget: Feature Selection and Tracking for Multi-Camera Visual-Inertial Odometry  
- FEJ2: A Consistent Visual-Inertial State Estimator Design  
- Decoupled Right Invariant Error States for Consistent Visual-Inertial Navigation  
- Leveraging Structural Information to Improve Point Line Visual-Inertial Odometry

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## Visual localization / Visual place recognition  
- A Deep Feature Aggregation Network for Accurate Indoor Camera Localization  
- Learning Visual Localization of a Quadrotor Using Its Noise As Self-Supervision  
- Learning Cross-Scale Visual Representations for Real-Time Image Geo-Localization  
- Asynchronous Collaborative Localization by Integrating Spatiotemporal Graph Learning with Model-Based Estimation  
- Robust Localization of Occluded Targets in Aerial Manipulation Via Range-Only Mapping  
- DA-LMR: A Robust Lane Marking Representation for Data Association  
- Fusing Convolutional Neural Network and Geometric Constraint for Image-Based Indoor Localization  
- Diff-Net: Image Feature Difference Based High-Definition Map Change Detection for Autonomous Driving  
- Mobile Robot Localization Considering Uncertainty of Depth Regression From Camera Images  
- SemLoc: Accurate and Robust Visual Localization with Semantic and Structural Constraints from Prior Maps  
- PixSelect: Less but Reliable Pixels for Accurate and Efficient Localization  
- Robust Monocular Localization in Sparse HD Maps Leveraging Multi-Task Uncertainty Estimation  
- Keeping an Eye on Things: Deep Learned Features for Long-Term Visual Localization  
- OpenSceneVLAD: Appearance Invariant, Open Set Scene Classification  
- MultiRes-NetVLAD: Augmenting Place Recognition Training with Low-Resolution Imagery  
- LaneMatch: A Practical Real-Time Localization Method Via Lane-Matching  
- Binary Graph Descriptor for Robust Relocalization on Heterogeneous Data  
- Towards Accurate Loop Closure Detection in Semantic SLAM with 3D Semantic Covisibility Graphs  
- HD Ground - a Database for Ground Texture Based Localization  
- Crossview Mapping with Graph-Based Geolocalization on City-Scale Street Maps  
- Indoor Localization for Quadrotors Using Invisible Projected Tags  
- AirLoop: Lifelong Loop Closure Detection  
- HD Ground – A Database for Ground Texture Based Localization

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## LiDAR odometry / LiDAR SLAM
- Learning Spatiotemporal Occupancy Grid Maps for Lifelong Navigation in Dynamic Scenes  
- Reconstruction and Synthesis of Lidar Point Clouds of Spray  
- **CT-ICP: Real-Time Elastic LiDAR Odometry with Loop Closure**  
- GCLO: Ground Constrained LiDAR Odometry with Low-Drifts for GPS-Denied Indoor Environments  
- Robust Self-Supervised LiDAR Odometry Via Representative Structure Discovery and 3D Inherent Error Modeling  
- Direct LiDAR Odometry: Fast Localization with Dense Point Clouds  
- Ensemble Kalman Filter Based LiDAR Odometry for Skewed Point Clouds Using Scan Slicing  
- LLOL: Low-Latency Odometry for Spinning Lidars  
- Performance Guarantees for Spectral Initialization in Rotation Averaging and Pose-Graph SLAM  
- ART-SLAM: Accurate Real-Time 6DoF LiDAR SLAM  
- Performance Models in Robotics with a Use Case on SLAM  
- LT-Mapper: A Modular Framework for LiDAR-Based Lifelong Mapping  
- DynamicFilter: An Online Dynamic Objects Removal Framework for Highly Dynamic Environments  
- Memory-Efficient Gaussian Fitting for Depth Images in Real Time  
- Reconstructing Occluded Elevation Information in Terrain Maps with Self-Supervised Learning

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## LiDAR-inertial odometry / LiDAR-inertial SLAM  
- Globally Consistent and Tightly Coupled 3D LiDAR Inertial Mapping  
- Interval-Based Visual-Inertial LiDAR SLAM with Anchoring Poses  
- R3LIVE: A Robust, Real-Time, RGB-Colored, LiDAR-Inertial-Visual Tightly-Coupled State Estimation and Mapping Package  
- Graph-based Multi-sensor Fusion for Consistent Localization of Autonomous Construction Robots

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## LiDAR localization / LiDAR place recognition  
- LoGG3D-Net: Locally Guided Global Descriptor Learning for 3D Place Recognition  
- HiTPR: Hierarchical Transformer for Place Recognition in Point Cloud  
- FP-Loc: Lightweight and Drift-Free Floor Plan-Assisted LiDAR Localization  
- MinkLoc3D-SI: 3D LiDAR Place Recognition with Sparse Convolutions, Spherical Coordinates, and Intensity  
- OpenStreetMap-Based LiDAR Global Localization in Urban Environment without a Prior LiDAR Map  
- Retriever: Point Cloud Retrieval in Compressed 3D Maps  
- RINet: Efficient 3D Lidar-Based Place Recognition Using Rotation Invariant Neural Network

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## Point cloud registration  
- Translation Invariant Global Estimation of Heading Angle Using Sinogram of LiDAR Point Cloud  
- Generalized 3D Rigid Point Set Registration with Anisotropic Positional Error Based on Bayesian Coherent Point Drift  
- Fast and Robust Registration of Partially Overlapping Point Clouds  
- Deep Bayesian ICP Covariance Estimation  
- A Single Correspondence Is Enough: Robust Global Registration to Avoid Degeneracy in Urban Environments  
- K-Closest Points and Maximum Clique Pruning for Efficient and Effective 3-D Laser Scan Matching  
- FuzzyPSReg: Strategies of Fuzzy Cluster-Based Point Set Registration

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## Sensor fusion  
- Extrinsic Calibration and Verification of Multiple Non-Overlapping Field of View Lidar Sensors  
- LB-L2L-Calib: Accurate and Robust Extrinsic Calibration for Multiple 3D LiDARs with Long Baseline and Large Viewpoint Difference  
- Accurate Calibration of Multi-Perspective Cameras from a Generalization of the Hand-Eye Constraint  
- LTSR: Long-Term Semantic Relocalization Based on HD Map for Autonomous Vehicles  
- HDMapNet: An Online HD Map Construction and Evaluation Framework  
- Spatiotemporal Multisensor Calibration Via Gaussian Processes Moving Target Tracking  
- Extrinsic Calibration of Multiple Inertial Sensors from In-Flight Data  
- Information-Theoretic Online Multi-Camera Extrinsic Calibration  
- Self-Supervised Camera Self-Calibration from Video  
- FusionNet: Coarse-To-Fine Extrinsic Calibration Network of LiDAR and Camera with Hierarchical Point-Pixel Fusion  
- Graph-Based Multi-Sensor Fusion for Consistent Localization of Autonomous Construction Robots

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## Inertial odometry  
- A2DIO: Attention-Driven Deep Inertial Odometry for Pedestrian Localization Based on 6D IMU  
- Improved Kalman-Particle Kernel Filter on Lie Groups Applied to Angles-Only UAV Navigation  
- Improved State Propagation through AI-Based Pre-Processing and Down-Sampling of High-Speed Inertial Data

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## WiFi SLAM / WiFi Structure-From-Motion  
- Single User WiFi Structure from Motion in the Wild  
- P2SLAM: Bearing Based WiFi SLAM for Indoor Robots

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## Collaborative SLAM  
- Robust and Accurate Multi-Agent SLAM with Efficient Communication for Smart Mobiles  
- DiSCo-SLAM: Distributed Scan Context-Enabled Multi-Robot LiDAR SLAM with Two-Stage Global-Local Graph Optimization  
- Collaborative Robot Mapping Using Spectral Graph Analysis  
- MR-GMMapping: Communication Efficient Multi-Robot Mapping System Via Gaussian Mixture Model  
- Flexible and Resource-Efficient Multi-Robot Collaborative Visual-Inertial-Range Localization  
- A Test Platform for UWB-Based Localization of Dynamic Multi-Agent Systems  
- Multirobot Collaborative Monocular SLAM Utilizing Rendezvous  
- Self-Supervised Monocular Multi-Robot Relative Localization with Efficient Deep Neural Networks  
- Aerial-Ground Robots Collaborative 3D Mapping in GNSS-Denied Environments

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## Scene Flow  
- RMS-FlowNet: Efficient and Robust Multi-Scale Scene Flow Estimation for Large-Scale Point Clouds  
- Scalable Scene Flow from Point Clouds in the Real World  
- Fusion-FlowNet: Energy-Efficient Optical Flow Estimation Using Sensor Fusion and Deep Fused Spiking-Analog Network Architectures  
- From Scene Flow to Visual Odometry through Local and Global Regularisation in Markov Random Fields  
- SAFIT: Segmentation-Aware Scene Flow with Improved Transformer

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