Latest Research in Computer Vision and Pattern Recognition
20 research papers · 2026 median publication year
Top Research Topics in Computer Vision and Pattern Recognition
- Robotics and Sensor-Based Localization — 8 papers
- Robotics — 4 papers
- Computer Vision and Pattern Recognition — 4 papers
- 3D Surveying and Cultural Heritage — 2 papers
- Landslides and related hazards — 1 papers
- Underwater Vehicles and Communication Systems — 1 papers
Highest-Cited Papers
- Autonomous Exploration-Based Precise Mapping for Mobile Robots through Stepwise and Consistent Motions
- A Height-Constrained 2-Point Minimal Solver for Pose Estimation from Active LED Markers with Event Cameras
- P3P Made Easy
- LiDAR-Based Multi-Modal UAV Navigation Dataset for Robust Benchmarking in Complex-Structured, GNSS-Denied Industrial Environments
- Protection Levels for Vision-Based Pose Estimation
- Differential 6-DOF Pose Estimation with Provable First-Order Immunity to Camera Calibration Errors
- Multi-LiDAR SLAM and intelligent navigation for autonomous logistic robots in ROS2 environments
- Accuracy potential of visual localization exploiting high-end street-level imagery
- Flight-Ready LiDAR-Inertial Odometry for Embedded Drone Platforms
- A practical workflow for road slopes monitoring using handled mobile mapping systems
- Comparative Assessment of Low-Cost SLAM-Based Scanners for Indoor Surveying Applications
- Evaluating Gaussian Splatting Maps for Absolute Visual Localization of UAVs
- i2Nav-Robot: A Large-Scale Indoor-Outdoor Robot Dataset for Multi-Sensor Fusion Navigation
- Precision Increase for LiDAR-based Localisation using a predefined global Map
- Geometric and Visual SLAM: The accuracy of modern handheld LiDAR scanners
- Vehicle-Based Mobile Mapping Test Platform: Direct Georeferencing and TLS-Based Accuracy Assessment
- An RTK-SLAM Dataset for Absolute Accuracy Evaluation in GNSS-Degraded Environments
- Simultaneous Calibration of Boresight and Lever Arm for Mobile LiDAR Systems on Hydrographic Platforms Using Synthetic and Real Data
- Anchor Relative Topology for Sparse Point Correspondence in Sensor-Derived Observations
- Multi-Modal Tightly Coupled Robust Pose Estimation for Mobile Robots in Complex Degraded Scenarios