gaoxiang12/slambook

Features

• Visual SLAM Implementations - Provides a complete implementation of visual simultaneous localization and mapping using visual sensor data.
• Volumetric Scene Mapping - Creates detailed volumetric representations of scenes by processing depth data and spatial information.
• Loop Closure Detection - Implements loop closure detection to recognize previously visited locations and correct accumulated spatial drift.
• Pose Optimization - Uses non-linear pose optimization to refine the robot trajectory by minimizing errors across spatial constraints.
• Visual Odometry Systems - Provides a visual odometry system that estimates camera position and orientation by analyzing sequential image data.
• Volumetric Integration Pipelines - Features a volumetric integration pipeline that fuses sensor depth data into unified grids for dense 3D mapping.
• Bundle Adjustment Algorithms - Implements bundle adjustment algorithms to optimize camera poses and 3D points for global geometric consistency.
• 3D Reconstruction - Generates detailed 3D geometry and volumetric representations of physical spaces from visual and depth data.
• Volumetric Reconstruction Tools - Ships a tool for creating dense volumetric representations of scenes by processing depth and spatial data.
• Bilateral Feature Matching - Implements bilateral feature matching to establish spatial correspondences between image frames for camera motion calculation.

Star history