vo-howard08
Visual odometry algorithm
A MATLAB implementation of Visual Odometry using Andrew Howard's 2008 paper.
[Reimplementation Howard 2008] A MATLAB implementation of Visual Odometry using Andrew Howard's 2008 paper.
59 stars
9 watching
44 forks
Language: Matlab
last commit: over 9 years ago
Linked from 1 awesome list
Related projects:
Repository | Description | Stars |
---|---|---|
| A MATLAB implementation of visual odometry using Stereo Odometry based on careful feature selection and tracking. | 201 |
| Software for visual-inertial odometry and mapping with camera and IMU sensor fusion | 867 |
| A dataset providing realistic and comprehensive benchmarking data for visual-inertial odometry in various real-world environments. | 240 |
| A visual-inertial odometry system that estimates motion and location using camera and inertial data | 2,238 |
| An implementation of a monocular visual inertial odometry algorithm based on Multi-State Constraint Kalman Filter for accurate and robust localization | 737 |
| An animation-based odometer component for VueJS applications | 98 |
| A ROS wrapper for libviso2, providing an omnidirectional visual odometry solution using a monocular camera system. | 241 |
| A Python implementation of a Visual SLAM pipeline supporting monocular, stereo and RGBD cameras. | 2,004 |
| A low-cost Visual Inertial Odometry (VIO) accelerator project that aims to develop a cost-effective and efficient solution for visual processing on an FPGA. | 28 |
| Real-time visual odometry using raw events from a stereo camera | 434 |
| A MATLAB implementation of a variable-model data fusion algorithm for removing noise from images and generating denoised images | 81 |
| An implementation of dense visual odometry and SLAM from RGB-D camera streams. | 647 |
| MATLAB implementation of popular path planning algorithms for motion planning in robotics and related fields. | 47 |
| An open-source implementation of a visual object tracking algorithm using adaptive correlation filters and spatial feature selection | 92 |
| A Matlab implementation of an algorithm for fully automatically fitting a 3D Morphable Model to a single image using landmarks and edge features. | 146 |