ICRA 2021会议也已经开完了, 所以对原来总结SLAM方向相关的文章进行了重新整理和补全,由于总结比较广泛,大约有200多篇,本文对论文进行了分类,并给出了下载地址和开源代码地址,希望对一起做SLAM研究的同行们提供一些有益的参考。完整版的分类论文原文见下方百度网盘链接,后续将在github上持续更新。
链接:https://pan.baidu.com/s/1NplHJezNTN_YetYmqI0qUg
提取码:gban
语义定位建图
- Visual Semantic Localization Based on HD Map for Autonomous Vehicles in Urban Scenarios
- RoadMap: A Light-Weight Semantic Map for Visual Localization towards Autonomous Driving
- Road Mapping and Localization Using Sparse Semantic Visual Features https://ieeexplore.ieee.org/document/9387091
- Kimera-Multi: A System for Distributed Multi-Robot Metric-Semantic Simultaneous Localization and Mapping https://arxiv.org/abs/2011.04087
- Semantic SLAM with Autonomous Object-Level Data Association https://arxiv.org/abs/2011.10625
- Hybrid Bird's-Eye Edge Based Semantic Visual SLAM for Automated Valet Parking (AVP) https://www.zhenzhenxiang.xyz/publication/icra2021/
- Compositional and Scalable Object SLAM https://arxiv.org/abs/2011.02658
- Robust Semantic Map Matching Algorithm Based on Probabilistic Registration Model
- Semantically Guided Multi-View Stereo for Dense 3D Road Mapping
- Robust Improvement in 3D Object Landmark Inference for Semantic Mapping
- Any Way You Look at It: Semantic Crossview Localization and Mapping with LiDAR https://github.com/iandouglas96/cross_view_slam / https://ieeexplore.ieee.org/document/9361130
- PSF-LO: Parameterized Semantic Features Based Lidar Odometry https://arxiv.org/abs/2010.13355
- Point Set Registration with Semantic Region Association Using Cascaded Expectation Maximization
视觉SLAM
Visual SLAM
- Asynchronous Multi-View SLAM https://arxiv.org/abs/2101.06562
- B-Splines for Purely Vision-Based Localization and Mapping on Non-Holonomic Ground Vehicles
- UPSLAM: Union of Panoramas SLAM https://arxiv.org/abs/2101.00585
- Multi-Parameter Optimization for a Robust RGB-D SLAM System
- SD-DefSLAM: Semi-Direct Monocular SLAM for Deformable and Intracorporeal Scenes https://arxiv.org/abs/2010.09409
- MOLTR: Multiple Object Localisation, Tracking and Reconstruction from Monocular RGB Videos https://arxiv.org/abs/2012.05360
- ManhattanSLAM: Robust Planar Tracking and Mapping Leveraging Mixture of Manhattan Frames https://arxiv.org/abs/2103.15068
- Markov Parallel Tracking and Mapping for Probabilistic SLAM
- Avoiding Degeneracy for Monocular Visual SLAM with Point and Line Features https://arxiv.org/abs/2103.01501
- Learning a State Representation and Navigation in Cluttered and Dynamic Environments https://arxiv.org/pdf/2103.04351
- TT-SLAM: Dense Monocular SLAM for Planar Environments https://hal.inria.fr/hal-03169199/
- OV2SLAM : A Fully Online and Versatile Visual SLAM for Real-Time Applications https://arxiv.org/abs/2102.04060
- DOT: Dynamic Object Tracking for Visual SLAM https://arxiv.org/abs/2010.00052
- DefSLAM: Tracking and Mapping of Deforming Scenes from Monocular Sequences (I) https://arxiv.org/abs/1908.08918
- RGB-D SLAM with Structural Regularities https://arxiv.org/abs/2010.07997
- RigidFusion: Robot Localisation and Mapping in Environments with Large Dynamic Rigid Objects
- CAROM - Vehicle Localization and Traffic Scene Reconstruction from Monocular Cameras on Road Infrastructures https://arxiv.org/abs/2104.00893
- VOLDOR-SLAM: For the Times When Feature-Based or Direct Methods Are Not Good Enough https://arxiv.org/abs/2104.06800
- Kimera-Multi: A System for Distributed Multi-Robot Metric-Semantic Simultaneous Localization and Mapping https://arxiv.org/abs/2011.04087
VO
- Accurate and Robust Scale Recovery for Monocular Visual Odometry Based on Plane Geometry https://arxiv.org/abs/2101.05995
- Accurate and Robust Stereo Direct Visual Odometry for Agricultural Environment
- Deep Online Correction for Monocular Visual Odometry https://arxiv.org/abs/2103.10029
- A Heteroscedastic Likelihood Model for Two-Frame Optical Flow https://arxiv.org/abs/2010.06871
- Learning Optical Flow with R-CNN for Visual Odometry
- Optimizing RGB-D Fusion for Accurate 6DoF Pose Estimation https://ieeexplore.ieee.org/abstract/document/9361135/
- Tight Integration of Feature-Based Relocalization in Monocular Direct Visual Odometry https://arxiv.org/abs/2102.01191
- Continuous Scale-Space Direct Image Alignment for Visual Odometry from RGB-D Images https://hal.archives-ouvertes.fr/hal-03130945/document
- A Front-End for Dense Monocular SLAM Using a Learned Outlier Mask Prior
Visual Mapping
- Structure Reconstruction Using Ray-Point-Ray Features: Representation and Camera Pose Estimation
- Hough2Map – Iterative Event-Based Hough Transform for High-Speed Railway Mapping https://arxiv.org/pdf/2102.08145.pdf / https://github.com/ethz-asl/Hough2Map
- Lightweight Semantic Mesh Mapping for Autonomous Vehicles
- Polarimetric Monocular Dense Mapping Using Relative Deep Depth Prior https://arxiv.org/abs/2102.05212
- Mesh Reconstruction from Aerial Images for Outdoor Terrain Mapping Using Joint 2D-3D Learning https://arxiv.org/abs/2101.01844
- Direct Sparse Mapping (I)https://arxiv.org/abs/1904.06577 / https://github.com/jzubizarreta/dsm
- HyperMap: Compressed 3D Map for Monocular Camera Registration https://www.cs.cmu.edu/~kaess/pub/Chang21icra.pdf
- Probabilistic Multi-View Fusion of Active Stereo Depth Maps for Robotic Bin-Picking https://arxiv.org/abs/2103.10968
- Reconstructing Interactive 3D Scenes by Panoptic Mapping and CAD Model Alignments https://arxiv.org/abs/2103.16095
VIO
- UVIP: Robust UWB Aided Visual-Inertial Positioning System for Complex Indoor Environments
- Range-Focused Fusion of Camera-IMU-UWB for Accurate and Drift-Reduced Localization https://ieeexplore.ieee.org/abstract/document/9350155
- CodeVIO: Visual-Inertial Odometry with Learned Optimizable Dense Depth https://arxiv.org/abs/2012.10133
- Direct Sparse Stereo Visual-Inertial Global Odometry
- Collaborative Visual Inertial SLAM for Multiple Smart Phones
- VID-Fusion: Robust Visual-Inertial-Dynamics Odometry for Accurate External Force Estimation https://arxiv.org/abs/2011.03993
- Run Your Visual-Inertial Odometry on NVIDIA Jetson: Benchmark Tests on a Micro Aerial Vehicle https://arxiv.org/abs/2103.01655
- Bidirectional Trajectory Computation for Odometer-Aided Visual-Inertial SLAM https://arxiv.org/abs/2002.00195
- Optimization-Based Visual-Inertial SLAM Tightly Coupled with Raw GNSS Measurements https://arxiv.org/abs/2010.11675
- An Equivariant Filter for Visual Inertial Odometry https://arxiv.org/abs/2104.03532
- Revisiting Visual-Inertial Structure-From-Motion for Odometry and SLAM Initialization https://arxiv.org/abs/2006.06017
- Cooperative Visual-Inertial Odometry https://hal.inria.fr/hal-02427991/document
Tracking
- Tracking 6-DoF Object Motion from Events and Frames https://arxiv.org/abs/2103.15568
- Visual Tracking of Deforming Objects Using Physics-Based Models https://hal.inria.fr/hal-03179253/document
- Deep 6-DoF Tracking of Unknown Objects for Reactive Grasping https://arxiv.org/abs/2103.05401
- TSDF++: A Multi-Object Formulation for Dynamic Object Tracking and Reconstruction
深度
- Robust Monocular Visual-Inertial Depth Completion for Embedded Systems http://udel.edu/~pgeneva/downloads/papers/c19.pdf
- Multimodal Scale Consistency and Awareness for Monocular Self-Supervised Depth Estimation https://arxiv.org/abs/2103.02451
- SelfDeco: Self-Supervised Monocular Depth Completion in Challenging Indoor Environments https://arxiv.org/abs/2011.04977
- Stereo-Augmented Depth Completion from a Single RGB-LiDAR Image
- PENet: Towards Precise and Efficient Image Guided Depth Completion https://arxiv.org/abs/2103.00783 / https://github.com/JUGGHM/PENet_ICRA2021
- Volumetric Propagation Network: Stereo-LiDAR Fusion for Long-Range Depth Estimation https://arxiv.org/abs/2103.12964
- PLG-IN: Pluggable Geometric Consistency Loss with Wasserstein Distance in Monocular Depth Estimation https://arxiv.org/abs/2006.02068
- Bidirectional Attention Network for Monocular Depth Estimation https://arxiv.org/abs/2009.00743
- Self-Guided Instance-Aware Network for Depth Completion and Enhancement
- Deep Multi-View Depth Estimation with Predicted Uncertainty https://arxiv.org/abs/2011.09594
- MultiViewStereoNet: Fast Multi-View Stereo Depth Estimation Using Incremental Viewpoint-Compensated Feature Extraction
- Linear Inverse Problem for Depth Completion with RGB Image and Sparse LIDAR Fusion
- Toward Robust and Efficient Online Adaptation for Deep Stereo Depth Estimation
视觉场景识别
- Intelligent Reference Curation for Visual Place Recognition Via Bayesian Selective Fusion https://arxiv.org/abs/2010.09228
- Appearance-Based Loop Closure Detection Via Bidirectional Manifold Representation Consensus
- SoftMP: Attentive Feature Pooling for Joint Local Feature Detection and Description for Place Recognition in Changing Environments
- Simultaneous Multi-Level Descriptor Learning and Semantic Segmentation for Domain-Specific Relocalization
- Resolving Place Recognition Inconsistencies Using Intra-Set Similarities https://ieeexplore.ieee.org/abstract/document/9359453/
- Spherical Multi-Modal Place Recognition for Heterogeneous Sensor Systems https://arxiv.org/abs/2104.10067
- Retrieval and Localization with Observation Constraints
- A Flexible and Efficient Loop Closure Detection Based on Motion Knowledge
- Semantic Reinforced Attention Learning for Visual Place Recognition
- STA-VPR: Spatio-Temporal Alignment for Visual Place Recognition https://arxiv.org/abs/2103.13580
- Visual Place Recognition Via Local Affine Preserving Matching
激光场景识别
- DiSCO: Differentiable Scan Context with Orientation https://arxiv.org/abs/2010.10949
- Robust Place Recognition Using an Imaging Lidar https://arxiv.org/abs/2103.02111
- Locus: LiDAR-Based Place Recognition Using Spatiotemporal Higher-Order Pooling https://arxiv.org/abs/2011.14497
- Resolving Place Recognition Inconsistencies Using Intra-Set Similarities https://ieeexplore.ieee.org/document/9359453/
- Beyond ANN: Exploiting Structural Knowledge for Efficient Place Recognition https://arxiv.org/abs/2103.08366
- Place Recognition in Forests with Urquhart Tessellations http://arxiv.org/pdf/2010.03026
多传感器融合定位
- LVI-SAM: Tightly-Coupled Lidar-Visual-Inertial Odometry Via Smoothing and Mapping https://arxiv.org/abs/2104.10831 / https://github.com/TixiaoShan/LVI-SAM
- MSTSL: Multi-Sensor Based Two-Step Localization in Geometrically Symmetric Environments
- LatentSLAM: Unsupervised Multi-Sensor Representation Learning for Localization and Mapping https://arxiv.org/abs/2105.03265
- Visual-Laser-Inertial SLAM Using a Compact 3D Scanner for Confined Space
- Efficient Multi-Sensor Aided Inertial Navigation with Online Calibration
- Range-Visual-Inertial Odometry: Scale Observability without Excitation https://arxiv.org/pdf/2103.15215
- Airflow-Inertial Odometry for Resilient State Estimation on Multirotors
- Fusion-DHL: WiFi, IMU, and Floorplan Fusion for Dense History of Locations in Indoor Environments
- Interval-Based Visual-LiDAR Sensor Fusion https://www.researchgate.net/publication/349141103_Interval-Based_Visual-LiDAR_Sensor_Fusion
- CamVox: A Low-Cost and Accurate Lidar-Assisted Visual SLAM System https://arxiv.org/abs/2011.11357
- Multi-Session Underwater Pose-Graph SLAM Using Inter-Session Opti-Acoustic Two-View Factor https://irap.kaist.ac.kr/publications/hsjang-2021-icra.pdf
- Simple but Effective Redundant Odometry for Autonomous Vehicles https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/reinke2021icra.pdf
- Markov Localisation Using Heatmap Regression and Deep Convolutional Odometry https://cvssp.org/Personal/OscarMendez/papers/pdf/MendezICRA2021.pdf
- Unified Multi-Modal Landmark Tracking for Tightly Coupled Lidar-Visual-Inertial Odometry https://arxiv.org/abs/2011.06838
- Vanishing Point Aided LiDAR-Visual-Inertial Estimator https://people.inf.ethz.ch/pomarc/pubs/CamposecoICRA15.pdf
- Any Way You Look at It: Semantic Crossview Localization and Mapping with LiDAR https://github.com/iandouglas96/cross_view_slam / https://ieeexplore.ieee.org/document/9361130
多传感器融合建图
- Lidar-Monocular Surface Reconstruction Using Line Segments https://arxiv.org/abs/2104.02761
- Automatic Mapping of Tailored Landmark Representations for Automated Driving and Map Learning
激光SLAM
lidar SLAM
- SA-LOAM: Semantic-Aided LiDAR SLAM with Loop Closure
- Greedy-Based Feature Selection for Efficient LiDAR SLAM https://arxiv.org/abs/2103.13090
- Inertial Aided 3D LiDAR SLAM with Hybrid Geometric Primitives in Large-Scale Environments
- π-LSAM: LiDAR Smoothing and Mapping with Planes
- R-LOAM: Improving LiDAR Odometry and Mapping with Point-To-Mesh Features of a Known 3D Reference Object https://ieeexplore.ieee.org/document/9357902
- LoLa-SLAM: Low-Latency LiDAR SLAM Using Continuous Scan Slicing https://ieeexplore.ieee.org/document/9359468
- LiTAMIN2: Ultra Light LiDAR-Based SLAM Using Geometric Approximation Applied with KL-Divergence https://arxiv.org/abs/2103.00784
- 2D Laser SLAM with Closed Shape Features: Fourier Series Parameterization and Submap Joining
- Intensity-SLAM: Intensity Assisted Localization and Mapping for Large Scale Environment https://arxiv.org/abs/2102.03798
- Online Range-Based SLAM Using B-Spline Surfaces https://welcome.isr.tecnico.ulisboa.pt/wp-content/uploads/2021/03/09359349.pdf
- MULLS: Versatile LiDAR SLAM Via Multi-Metric Linear Least Square https://arxiv.org/abs/2102.03771 / https://github.com/YuePanEdward/MULLS
- Dynamic Object Aware LiDAR SLAM Based on Automatic Generation of Training Data https://arxiv.org/abs/2104.03657
- A FastSLAM Approach Integrating Beamforming Maps for Ultrasound-Based Robotic Inspection of Metal Structures https://hal.archives-ouvertes.fr/hal-03017841/document
lidar localization
- Robust LiDAR Feature Localization for Autonomous Vehicles Using Geometric Fingerprinting on Open Datasets https://github.com/dcmlr/fingerprint-localization / https://ieeexplore.ieee.org/abstract/document/9363614/
- Robust SRIF-Based LiDAR-IMU Localization for Autonomous Vehicles
- NDT-Transformer: Large-Scale 3D Point Cloud Localisation Using the Normal Distribution Transform Representation https://arxiv.org/abs/2103.12292
- Connecting Semantic Building Information Models and Robotics: An Application to 2D LiDAR-Based Localization
lidar mapping
- BALM: Bundle Adjustment for Lidar Mapping https://arxiv.org/pdf/2010.08215
- Accelerating Probabilistic Volumetric Mapping Using Ray-Tracing Graphics Hardware https://arxiv.org/abs/2011.10348
- ERASOR: Egocentric Ratio of Pseudo Occupancy-Based Dynamic Object Removal for Static 3D Point Cloud Map Building https://arxiv.org/abs/2103.04316
- Multiresolution Representations for Large-Scale Terrain with Local Gaussian Process Regression
- Kernel-Based 3-D Dynamic Occupancy Mapping with Particle Tracking
- Poisson Surface Reconstruction for LiDAR Odometry and Mapping https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/vizzo2021icra.pdf
- Dynamic Occupancy Grid Mapping with Recurrent Neural Networks https://arxiv.org/abs/2011.08659
- Semantic Mapping of Construction Site from Multiple Daily Airborne LiDAR Data https://ieeexplore.ieee.org/document/9364688/
- Multi-Resolution 3D Mapping with Explicit Free Space Representation for Fast and Accurate Mobile Robot Motion Planning https://arxiv.org/abs/2010.07929
- MCMC Occupancy Grid Mapping with a Data-Driven Patch Prior
- Elastic and Efficient LiDAR Reconstruction for Large-Scale Exploration Tasks https://arxiv.org/abs/2010.09232
LO & LIO
- FAST-LIO: A Fast, Robust LiDAR-Inertial Odometry Package by Tightly-Coupled Iterated Kalman Filter https://arxiv.org/abs/2010.08196
- KFS-LIO: Key-Feature Selection for Lightweight Lidar Inertial Odometry
- LIRO: Tightly Coupled Lidar-Inertia-Ranging Odometry https://arxiv.org/abs/2010.13072
- PSF-LO: Parameterized Semantic Features Based Lidar Odometry https://arxiv.org/abs/2010.13355
- ENCODE: A dEep poiNt Cloud ODometry NEtwork
- Automatic Hyper-Parameter Tuning for Black-Box LiDAR Odometry
- Self-Supervised Learning of LiDAR Odometry for Robotic Applications https://arxiv.org/pdf/2011.05418
Point Cloud Registration
- PHASER: A Robust and Correspondence-Free Global Pointcloud Registration https://arxiv.org/abs/2102.02767
- Differential Information Aided 3-D Registration for Accurate Navigation and Scene Reconstruction https://www.researchgate.net/publication/349678605_Differential_Information_Aided_3-D_Registration_for_Accurate_Navigation_and_Scene_Reconstruction/link/603be223299bf1cc26fbc4c3/download
- Robust Motion Averaging under Maximum Correntropy Criterion https://arxiv.org/pdf/2004.09829
- Toward a Unified Framework for Point Set Registration http://cvl.ist.osaka-u.ac.jp/wp-content/uploads/2021/03/li_icra2021.pdf
- Voxelized GICP for Fast and Accurate 3D Point Cloud Registration https://easychair.org/publications/preprint/ftvV
- Probabilistic Scan Matching: Bayesian Pose Estimation from Point Clouds
- Learning the Next Best View for 3D Point Clouds Via Topological Features https://arxiv.org/abs/2103.02789
- A New Framework for Registration of Semantic Point Clouds from Stereo and RGB-D Cameras https://arxiv.org/abs/2012.03683
feature
- SKD: Keypoint Detection for Point Clouds Using Saliency Estimation https://arxiv.org/abs/1912.04943
- Unsupervised Learning of Lidar Features for Use in a Probabilistic Trajectory Estimator https://arxiv.org/pdf/2102.11261
固态激光
- Lightweight 3-D Localization and Mapping for Solid-State LiDAR https://arxiv.org/abs/2102.03800
点云压缩
- Deep Compression for Dense Point Cloud Maps https://github.com/PRBonn/deep-point-map-compression / https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/wiesmann2021ral.pdf
全局定位
- Robust LiDAR Feature Localization for Autonomous Vehicles Using Geometric Fingerprinting on Open Datasets https://github.com/dcmlr/fingerprint-localization / https://ieeexplore.ieee.org/document/9363614
- Learned Uncertainty Calibration for Visual Inertial Localization
- Deep Samplable Observation Model for Global Localization and Kidnapping https://arxiv.org/abs/2009.00211
- Camera Relocalization Using Deep Point Cloud Generation and Hand-Crafted Feature Refinement
- Semantic Histogram Based Graph Matching for Real-Time Multi-Robot Global Localization in Large Scale Environment https://arxiv.org/abs/2010.09297
- LiDAR-Based Initial Global Localization Using Two-Dimensional (2D) Submap Projection Image (SPI)
- Global Aerial Localisation Using Image and Map Embeddings
- Range Image-Based LiDAR Localization for Autonomous Vehicles https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/chen2021icra.pdf
- RadarLoc: Learning to Relocalize in FMCW Radar https://arxiv.org/abs/2103.11562
- Freetures: Localization in Signed Distance Function Maps https://arxiv.org/abs/2010.09378
- Self-Supervised Learning of Domain-Invariant Local Features for Robust Visual Localization under Challenging Conditions https://ieeexplore.ieee.org/abstract/document/9354898/
- Learning to Localize in New Environments from Synthetic Training Data https://arxiv.org/abs/2011.04539
- Tightly-Coupled Multi-Sensor Fusion for Localization with LiDAR Feature Maps
- Robust Dual Quadric Initialization for Forward-Translating Camera Movements https://ieeexplore.ieee.org/document/9384189
- 3D Surfel Map-Aided Visual Relocalization with Learned Descriptors https://arxiv.org/abs/2104.03856
学习
- End-To-End Semi-Supervised Learning for Differentiable Particle Filters https://arxiv.org/abs/2011.05748
- Initialisation of Autonomous Aircraft Visual Inspection Systems Via CNN-Based Camera Pose Estimation
Radar
- Do We Need to Compensate for Motion Distortion and Doppler Effects in Spinning Radar Navigation? https://github.com/keenan-burnett/yeti_radar_odometry / https://www.semanticscholar.org/paper/Do-We-Need-to-Compensate-for-Motion-Distortion-and-Burnett-Schoellig/1f20dab73a7e04c4f8dc801bd1de104b808a07db / https://arxiv.org/pdf/2011.03512
- RadarLoc: Learning to Relocalize in FMCW Radar https://arxiv.org/abs/2103.11562
- A Normal Distribution Transform-Based Radar Odometry Designed for Scanning and Automotive Radars
定位与建图(不确定传感器)
- Simultaneous Estimation and Modeling of Robotic Systems with Non-Gaussian State Belief
数据关联
- CLEAR: A Consistent Lifting, Embedding, and Alignment Rectification Algorithm for Multiview Data Association (I) https://arxiv.org/abs/1902.02256
- ROBIN: A Graph-Theoretic Approach to Reject Outliers in Robust Estimation Using Invariants https://arxiv.org/abs/2011.03659
- CLIPPER: A Graph-Theoretic Framework for Robust Data Association https://arxiv.org/abs/2011.10202
后端
- NF-iSAM: Incremental Smoothing and Mapping Via Normalizing Flows
- A Switching-Coupled Backend for Simultaneous Localization and Dynamic Object Tracking
分布式SLAM
- Distributed Client-Server Optimization for SLAM with Limited On-Device Resources https://arxiv.org/abs/2103.14303
- Invariant Extended Kalman Filtering Using Two Position Receivers for Extended Pose Estimation https://arxiv.org/abs/2104.14711
- Compartmentalized Covariance Intersection: A Novel Filter Architecture for Distributed Localization
- Towards Robust State Estimation by Boosting the Maximum Correntropy Criterion Kalman Filter with Adaptive Behaviors https://arxiv.org/abs/2103.15354
- Vehicle-To-Vehicle Collaborative Graph-Based Proprioceptive Localization https://scholar.google.com/scholar?oi=bibs&hl=es&cluster=16177649896940716005
long-term
- Lifelong Localization in Semi-Dynamic Environment
标定
- Extrinsic Calibration of Multiple LiDARs of Small FoV in Targetless Environments https://ieeexplore.ieee.org/document/9361153
- Efficient Online Calibration for Autonomous Vehicle's Longitudinal Dynamical System: A Gaussian Model Approach
- Automated Extrinsic Calibration for 3D LiDARs with Range Offset Correction Using an Arbitrary Planar Board
- Targetless Multiple Camera-LiDAR Extrinsic Calibration Using Object Pose Estimation
- Online Photometric Calibration of Automatic Gain Thermal Infrared Cameras https://arxiv.org/abs/2012.14292
- A Continuous-Time Approach for 3D Radar to Camera Extrinsic Calibration https://arxiv.org/abs/2103.07505
- Learned Camera Gain and Exposure Control for Improved Visual Feature Detection and Matching https://arxiv.org/abs/2102.04341
- Auto-Calibration Method Using Stop Signs for Urban Autonomous Driving Applications https://arxiv.org/abs/2010.07441
UWB
- Bias Compensated UWB Anchor Initialization Using Information-Theoretic Supported Triangulation Points https://www.aau.at/wp-content/uploads/2021/03/UWB_Initialization_ICRA_CNS.pdf
- Relative Position Estimation between Two UWB Devices with IMUs https://arxiv.org/abs/2104.10730
- UWB Indoor Global Localisation for Nonholonomic Robots with Unknown Offset Compensation
- Consistent State Estimation on Manifolds for Autonomous Metal Structure Inspection https://www.researchgate.net/profile/Alessandro-Fornasier/publication/350459466_Consistent_State_Estimation_on_Manifolds_for_Autonomous_Metal_Structure_Inspection/links/6061b364a6fdccbfea147687/Consistent-State-Estimation-on-Manifolds-for-Autonomous-Metal-Structure-Inspection.pdf
数学相关
- Efficient Modification of the Upper Triangular Square Root Matrix on Variable Reordering https://www.researchgate.net/publication/347950562_Efficient_Modification_of_the_Upper_Triangular_Square_Root_Matrix_on_Variable_Reordering/link/6009d60a92851c13fe2a8084/download
- Robust 360-8PA: Redesigning the Normalized 8-Point Algorithm for 360-FoV Images https://arxiv.org/abs/2104.10900
数据集
- RADIATE: A Radar Dataset for Automotive Perception in Bad Weather https://arxiv.org/pdf/2010.09076
- Cirrus: A Long-Range Bi-Pattern LiDAR Dataset https://arxiv.org/abs/2012.02938
- VIODE: A Simulated Dataset to Address the Challenges of Visual-Inertial Odometry in Dynamic Environments https://github.com/kminoda/VIODE / https://www.semanticscholar.org/paper/VIODE%3A-A-Simulated-Dataset-to-Address-the-of-in-Minoda-Schilling/2f339961731cbaedf54d71f874541a5894ef5a15
- A Multi-Spectral Dataset for Evaluating Motion Estimation Systems https://arxiv.org/abs/2007.00622
- PicoVO: A Lightweight RGB-D Visual Odometry Targeting Resource-Constrained IoT Devices
- Are We Ready for Unmanned Surface Vehicles in Inland Waterways? the USVInland Multisensor Dataset and Benchmark https://arxiv.org/abs/2103.05383
- DSEC: A Stereo Event Camera Dataset for Driving Scenarios https://arxiv.org/abs/2103.06011
- AcinoSet: A 3D Pose Estimation Dataset and Baseline Models for Cheetahs in the Wild https://github.com/African-Robotics-Unit/AcinoSet / https://arxiv.org/abs/2103.13282
医学定位
- Robotically Surgical Vessel Localization Using Robust Hybrid Video Motion Magnification https://ieeexplore.ieee.org/document/9353981
声源定位
- GCC-PHAT with Speech-Oriented Attention for Robotic Sound Source Localization
GNSS
- Towards Robust GNSS Positioning and Real-Time Kinematic Using Factor Graph Optimization
UAV
- Tracking and Relative Localization of Drone Swarms with a Vision-Based Headset https://ieeexplore.ieee.org/document/9324934
- UAV Localization Using Autoencoded Satellite Images https://arxiv.org/abs/2102.05692
- Learning-Based Bias Correction for Time Difference of Arrival Ultra-Wideband Localization of Resource-Constrained Mobile Robots https://arxiv.org/abs/2103.01885
- Sensing Via Collisions: A Smart Cage for Quadrotors with Applications to Self-Localization
机器人定位建图
- Improving Ranging-Based Location Estimation with Rigidity-Constrained CRLB-Based Motion Planning
- Relative Position Estimation in Multi-Agent Systems Using Attitude-Coupled Range Measurements
- Rover Relocalization for Mars Sample Return by Virtual Template Synthesis and Matching https://arxiv.org/abs/2103.03395
- A Comparison between Joint Space and Task Space Mappings for Dynamic Teleoperation of an Anthropomorphic Robotic Arm in Reaction Tests https://arxiv.org/abs/2011.02508
- State Estimation for Hybrid Wheeled-Legged Robots Performing Mobile Manipulation Tasks
- Robust Localization for Planar Moving Robot in Changing Environment: A Perspective on Density of Correspondence and Depth https://arxiv.org/abs/2011.00439
PPA
- Weighted Node Mapping and Localisation on a Pixel Processor Array https://www.researchgate.net/publication/350187131_Weighted_Node_Mapping_and_Localisation_on_a_Pixel_Processor_Array/link/6054d443299bf17367550a00/download
Sonar
- Predictive 3D Sonar Mapping of Underwater Environments Via Object-Specific Bayesian Inference https://arxiv.org/abs/2104.03203
触觉SLAM
- Tactile SLAM: Real-Time Inference of Shape and Pose from Planar Pushing https://arxiv.org/abs/2011.07044
主动SLAM
- Invariant EKF Based 2D Active SLAM with Exploration Task
IMU
- IMU Data Processing for Inertial Aided Navigation: A Recurrent Neural Network Based Approach https://arxiv.org/abs/2103.14286
- Highly Efficient Line Segment Tracking with an IMU-KLT Prediction and a Convex Geometric Distance Minimization
- IMU/Vehicle Calibration and Integrated Localization for Autonomous Driving
- Reinforcement Learning for Orientation Estimation Using Inertial Sensors with Performance Guarantee https://arxiv.org/abs/2103.02357