Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities
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pySLAM is a hybrid Python/C++ Visual SLAM pipeline supporting monocular, stereo, and RGB-D cameras. It provides a broad set of modern local and global feature extractors, multiple loop-closure strategies, a volumetric reconstruction module, integrated depth-prediction models, and semantic segmentation capabilities for enhanced scene understanding.
- 3d-reconstruction
- depth-prediction
- feature-matching
- global-features
A Versatile and Accurate Monocular SLAM
Robust and efficient coverage paths for autonomous agricultural vehicles. A modular and extensible Coverage Path Planning library
- agriculture
- autonomous-vehicles
- coverage-path-planning
- cpp17
CubeSLAM: Monocular 3D Object Detection and SLAM
- slam
A lightweight, accurate and robust monocular visual inertial odometry based on Multi-State Constraint Kalman Filter.
- visual-inertial-odometry
- msckf
- localization
- ekf-mono-slam
RBDL is a C++ library that contains some essential and efficient rigid body dynamics algorithms such as the Articulated Body Algorithm (ABA) for forward dynamics, Recursive Newton-Euler Algorithm (RNEA) for inverse dynamics, the Composite Rigid Body Algorithm (CRBA) for the efficient computation of the joint space inertia matrix and is also able to compute forward dynamics with external contact constraints and collision impulses. Furthermore it has some basic support for forward and inverse kinematics.
- articulated-body-algorithm
- inverse-dynamics
- forward-dynamics
- multi-body-dynamics
Geometry-Aware Monocular RGB Planning
Python package for inverse kinematic calculations of hybrid serial parallel robots
- python
- robotics
- kinematics
- inverse-kinematics