OmniSLAM: Omnidirectional Localization and Dense Mapping for Wide-Baseline Multi-Camera Systems
Real-Time Graph-Based SLAM with Occupancy Normal Distributions Transforms
Spatio-Temporal Non-Rigid Registration of 3D Point Clouds of Plants
Uncertainty-Based Adaptive Sensor Fusion for Visual-Inertial Odometry under Various Motion Characteristics
Loam_livox: A Fast, Robust, High-Precision LiDAR Odometry and Mapping Package for LiDARs of Small FoV
Active SLAM Using 3D Submap Saliency for Underwater Volumetric Exploration
Are We Ready for Service Robots? the OpenLORIS-Scene Datasets for Lifelong SLAM
Intensity Scan Context: Coding Intensity and Geometry Relations for Loop Closure Detection
TextSLAM: Visual SLAM with Planar Text Features
FlowNorm: A Learning-Based Method for Increasing Convergence Range of Direct Alignment
Redesigning SLAM for Arbitrary Multi-Camera Systems
Dynamic SLAM: The Need for Speed
GradSLAM: Dense SLAM Meets Automatic Differentiation
Long-Term Place Recognition through Worst-Case Graph Matching to Integrate Landmark Appearances and Spatial Relationships
Linear RGB-D SLAM for Atlanta World
Stereo Visual Inertial Odometry with Online Baseline Calibration
Lidar-Monocular Visual Odometry Using Point and Line Features
Probabilistic Data Association Via Mixture Models for Robust Semantic SLAM
Closed-Loop Benchmarking of Stereo Visual-Inertial SLAM Systems: Understanding the Impact of Drift and Latency on Tracking Accuracy
Metrically-Scaled Monocular SLAM Using Learned Scale Factors
Inertial-Only Optimization for Visual-Inertial Initialization
Hierarchical Quadtree Feature Optical Flow Tracking Based Sparse Pose-Graph Visual-Inertial SLAM
Keypoint Description by Descriptor Fusion Using Autoencoders
Towards Noise Resilient SLAM
LAMP: Large-Scale Autonomous Mapping and Positioning for Exploration of Perceptually-Degraded Subterranean Environments
Modeling Semi-Static Scenes with Persistence Filtering in Visual SLAM
Broadcast Your Weaknesses: Cooperative Active Pose-Graph SLAM for Multiple Robots
FlowFusion: Dynamic Dense RGB-D SLAM Based on Optical Flow
Efficient Algorithms for Maximum Consensus Robust Fitting (I)
MulRan: Multimodal Range Dataset for Urban Place Recognition
GPO: Global Plane Optimization for Fast and Accurate Monocular SLAM Initialization
Large-Scale Volumetric Scene Reconstruction Using LiDAR
Topological Mapping for Manhattan-Like Repetitive Environments
Structure-Aware COP-SLAM
Robust RGB-D Camera Tracking Using Optimal Key-Frame Selection
Voxgraph: Globally Consistent, Volumetric Mapping Using Signed Distance Function Submaps
DeepFactors: Real-Time Probabilistic Dense Monocular SLAM
DOOR-SLAM: Distributed, Online, and Outlier Resilient SLAM for Robotic Teams
Windowed Bundle Adjustment Framework for Unsupervised Learning of Monocular Depth Estimation with U-Net Extension and Clip Loss
StructVIO : Visual-Inertial Odometry with Structural Regularity of Man-Made Environments (I)
Flow-Motion and Depth Network for Monocular Stereo and Beyond
Online LiDAR-SLAM for Legged Robots with Robust Registration and Deep-Learned Loop Closure
Hybrid Camera Pose Estimation with Online Partitioning for SLAM
Analysis of Minima for Geodesic and Chordal Cost for a Minimal 2D Pose-Graph SLAM Problem
Voxel Map for Visual SLAM
LiDAR Inertial Odometry Aided Robust LiDAR Localization System in Changing City Scenes
ROI-Cloud: A Key Region Extraction Method for LiDAR Odometry and Localization
To Learn or Not to Learn: Visual Localization from Essential Matrices
Hierarchical Multi-Process Fusion for Visual Place Recognition
Camera Tracking in Lighting Adaptable Maps of Indoor Environments
Fast, Compact and Highly Scalable Visual Place Recognition through Sequence-Based Matching of Overloaded Representations
Vision-Based Multi-MAV Localization with Anonymous Relative Measurements Using Coupled Probabilistic Data Association Filter
UrbanLoco: A Full Sensor Suite Dataset for Mapping and Localization in Urban Scenes
Map As the Hidden Sensor: Fast Odometry-Based Global Localization
Joint Human Pose Estimation and Stereo 3D Localization
Self-Supervised Deep Pose Corrections for Robust Visual Odometry
Ultra-High-Accuracy Visual Marker for Indoor Precise Positioning
Accurate Position Tracking with a Single UWB Anchor
Association-Free Multilateration Based on Times of Arrival
Adversarial Feature Disentanglement for Place Recognition across Changing Appearance
A Fast and Accurate Solution for Pose Estimation from 3D Correspondences
Ground Texture Based Localization Using Compact Binary Descriptors
Reliable Data Association for Feature-Based Vehicle Localization Using Geometric Hashing Methods
Vehicle Localization Based on Visual Lane Marking and Topological Map Matching
RISE: A Novel Indoor Visual Place Recogniser
Beyond Photometric Consistency: Gradient-Based Dissimilarity for Improving Visual Odometry and Stereo Matching
ICS: Incremental Constrained Smoothing for State Estimation
Drone-Aided Localization in LoRa IoT Networks
A Fast and Practical Method of Indoor Localization for Resource-Constrained Devices with Limited Sensing
GN-Net: The Gauss-Newton Loss for Multi-Weather Relocalization
A Data-Driven Motion Prior for Continuous-Time Trajectory Estimation on SE(3)
Estimation with Fast Feature Selection in Robot Visual Navigation
A Tightly Coupled VLC-Inertial Localization System by EKF
Localization of Inspection Device Along Belt Conveyors with Multiple Branches Using Deep Neural Networks
Localising PMDs through CNN Based Perception of Urban Streets
The Complex-Step Derivative Approximation on Matrix Lie Groups
Hybrid Localization Using Model and Learning-Based Methods: Fusion of Monte Carlo and E2E Localizations Via Importance Sampling
Measurement Scheduling for Cooperative Localization in Resource-Constrained Conditions
Quantifying Robot Localization Safety: A New Integrity Monitoring Method for Fixed-Lag Smoothing
Visual Localization with Google Earth Images for Robust Global Pose Estimation of UAVs
Relax and Recover: Guaranteed Range-Only Continuous Localization
SPRINT: Subgraph Place Recognition for Intelligent Transportation
OneShot Global Localization: Instant LiDAR-Visual Pose Estimation
Relocalization on Submaps: Multi-Session Mapping for Planetary Rovers Equipped with Stereo Cameras
DeepTIO: A Deep Thermal-Inertial Odometry with Visual Hallucination
RSL-Net: Localising in Satellite Images from a Radar on the Ground
Kidnapped Radar: Topological Radar Localisation Using Rotationally-Invariant Metric Learning
Global Visual Localization in LiDAR-Maps through Shared 2D-3D Embedding Space
Unsupervised Learning Methods for Visual Place Recognition in Discretely and Continuously Changing Environments
LOL: Lidar-Only Odometry and Localization in 3D Point Cloud Maps
Localising Faster: Efficient and Precise Lidar-Based Robot Localisation in Large-Scale Environments
LiStereo: Generate Dense Depth Maps from LIDAR and Stereo Imagery
Monocular Visual-Inertial Odometry in Low-Textured Environments with Smooth Gradients: A Fully Dense Direct Filtering Approach
Gated Recurrent Fusion to Learn Driving Behaviour from Temporal Multimodal Data
Cooperative Visual-Inertial Odometry: Analysis of Singularities, Degeneracies and Minimal Cases
A Lightweight and Accurate Localization Algorithm Using Multiple Inertial Measurement Units
Accelerating the Estimation of Metabolic Cost Using Signal Derivatives: Implications for Optimization and Evaluation of
Deep Depth Fusion for Black, Transparent, Reflective and Texture-Less Objects
LiDAR-Enhanced Structure-From-Motion
Low Latency and Low-Level Sensor Fusion for Automotive Use-Cases
Spatiotemporal Camera-LiDAR Calibration: A Targetless and Structureless Approach
Robot-Assisted and Wearable Sensor-Mediated Autonomous Gait Analysis
Gaussian Process Preintegration for Inertial-Aided State Estimation
A Code for Unscented Kalman Filtering on Manifolds (UKF-M)
Efficient and Precise Sensor Fusion for Non-Linear Systems with Out-Of-Sequence Measurements by Example of Mobile Robotics
UNO: Uncertainty-Aware Noisy-Or Multimodal Fusion for Unanticipated Input Degradation
Intermittent GPS-Aided VIO: Online Initialization and Calibration
A Mathematical Framework for IMU Error Propagation with Applications to Preintegration
Radar-Inertial Ego-Velocity Estimation for Visually DegradedEnvironments
Observability Analysis of Flight State Estimation for UAVs and Experimental Validation
OpenVINS: A Research Platform for Visual-Inertial Estimation
Decentralized Collaborative State Estimation for Aided Inertial Navigation
Analytic Combined IMU Integration (ACI^2) for Visual Inertial Navigation
Second-Order Kinematics for Floating-Base Robots Using the Redundant Acceleration Feedback of an Artificial Sensory Skin
Clock-Based Time Synchronization for an Event-Based Camera Dataset Acquisition Platform
Set-Membership State Estimation by Solving Data Association
SLOAM: Semantic Lidar Odometry and Mapping for Forest Inventory
Unified Intrinsic and Extrinsic Camera and LiDAR Calibration under Uncertainties
AC/DCC : Accurate Calibration of Dynamic Camera Clusters for Visual SLAM
Analytic Plane Covariances Construction for Precise Planarity-Based Extrinsic Calibration of Camera and LiDAR
A Stable Adaptive Observer for Hard-Iron and Soft-Iron Bias Calibration and Compensation for Two-Axis Magnetometers: Theory and Experimental Evaluation
Extrinsic Calibration of an Eye-In-Hand 2D LiDAR Sensor in Unstructured Environments Using ICP
Geometric Robot Dynamic Identification: A Convex Programming Approach (I)
A Novel Calibration Method between a Camera and a 3D LiDAR with Infrared Images
Online Camera-LiDAR Calibration with Sensor Semantic Information
Precise 3D Calibration of Wafer Handling Robot by Visual Detection and Tracking of Elliptic-Shape Wafers
Globally Optimal Relative Pose Estimation for Camera on a Selfie Stick
Online Calibration of Exterior Orientations of a Vehicle-Mounted Surround-View Camera System
Learning Camera Miscalibration Detection
Exploring Performance Bounds of Visual Place Recognition Using Extended Precision
Deep Reinforcement Learning for Instruction Following Visual Navigation in 3D Maze-Like Environments
Aggressive Perception-Aware Navigation Using Deep Optical Flow Dynamics and PixelMPC
Visual-Inertial Mapping with Non-Linear Factor Recovery
Interactive Gibson Benchmark: A Benchmark for Interactive Navigation in Cluttered Environments
Highly Robust Visual Place Recognition through Spatial Matching of CNN Features
Robust and Efficient Estimation of Absolute Camera Pose for Monocular Visual Odometry
Robust Vision-Based Obstacle Avoidance for Micro Aerial Vehicles in Dynamic Environments
Proximity Estimation Using Vision Features Computed on Sensor
Efficient Globally-Optimal Correspondence-Less Visual Odometry for Planar Ground Vehicles
EgoTEB: Egocentric, Perception Space Navigation Using Timed-Elastic-Bands
Graduated Non-Convexity for Robust Spatial Perception: From Non-Minimal Solvers to Global Outlier Rejection
Reliable Frame-To-Frame Motion Estimation for Vehicle-Mounted Surround-View Camera Systems
Enabling Topological Planning with Monocular Vision
DeepMEL: Compiling Visual Multi-Experience Localization into a Deep Neural Network
7. [VSLAM] 2020-01-13-Direct Sparse Visual-Inertial Odometry with Stereo Cameras Quantitative evaluation demonstrates that the proposed Stereo VI-DSO is superior to Stereo DSO both in terms of tracking accuracy and robustness. But the result is worse than VINS.
17. [VSLAM] 2020-02-10-Bidirectional Trajectory Computation for Odometer-Aided Visual-Inertial SLAM not only solves the problem of the unobservability of accelerometer bias and extrinsic parameters before the first turning, but also results in more accurate trajectories in comparison with the state-of-the-art approaches.
21. [Semantic] 2020-02-12-Edge Assisted Mobile Semantic Visual SLAM edgeSLAM leverages the state-of-the-art semantic segmentation algorithm to enhance localization and mapping accuracy, and speeds up the computation-intensive SLAM and semantic segmentation algorithms by computation offloading.
33. [VSLAM] 2020-02-16-DeepFactors: Real-Time Probabilistic Dense Monocular SLAM use of a learned compact depth map representation and reformulating three different types of errors: photometric, reprojection and geometric, which we make use of within standard factor graph software. code
39. [VSLAM] 2020-03-02-Dynamic SLAM: The Need For Speedfeature-based, model-free, object-aware dynamic SLAM algorithm that exploits semantic segmentation to allow estimation of motion of rigid objects in a scene without the need to estimate the object poses or have any prior knowledge of their 3D models.
42. [Math] 2020-03-04-Least Squares Optimization: from Theory to Practice a unified methodology to design and develop efficient Least-Squares Optimization algorithms, focusing on the structures and patterns of each specific domain.code