Statistics for topic visual-odometry
RepositoryStats tracks 598,732 Github repositories, of these 38 are tagged with the visual-odometry topic. The most common primary language for repositories using this topic is Python (15). Other languages include: C++ (14)
Stargazers over time for topic visual-odometry
Most starred repositories for topic visual-odometry (view more)
Trending repositories for topic visual-odometry (view more)
LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping
MACVO: Metrics-aware Covariance for Learning-based Stereo Visual Odometry
MACVO: Metrics-aware Covariance for Learning-based Stereo Visual Odometry
LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping
Visual SLAM/odometry package based on NVIDIA-accelerated cuVSLAM
MACVO: Metrics-aware Covariance for Learning-based Stereo Visual Odometry
LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping
A simple monocular visual odometry (part of vSLAM) by ORB keypoints with initialization, tracking, local map and bundle adjustment. (WARNING: Hi, I'm sorry that this project is tuned for course demo, ...
MACVO: Metrics-aware Covariance for Learning-based Stereo Visual Odometry
Visual SLAM/odometry package based on NVIDIA-accelerated cuVSLAM
A simple monocular visual odometry (part of vSLAM) by ORB keypoints with initialization, tracking, local map and bundle adjustment. (WARNING: Hi, I'm sorry that this project is tuned for course demo, ...
[ICRA'23] The official Implementation of "Structure PLP-SLAM: Efficient Sparse Mapping and Localization using Point, Line and Plane for Monocular, RGB-D and Stereo Cameras"
LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping
Visual SLAM/odometry package based on NVIDIA-accelerated cuVSLAM
MACVO: Metrics-aware Covariance for Learning-based Stereo Visual Odometry
MACVO: Metrics-aware Covariance for Learning-based Stereo Visual Odometry
RGBD-3DGS-SLAM is a monocular SLAM system leveraging 3D Gaussian Splatting (3DGS) for accurate point cloud and visual odometry estimation. By integrating neural networks, it estimates depth and camera...
StereoVision-SLAM is a real-time visual stereo SLAM (Simultaneous Localization and Mapping)
MACVO: Metrics-aware Covariance for Learning-based Stereo Visual Odometry
StereoVision-SLAM is a real-time visual stereo SLAM (Simultaneous Localization and Mapping)
RGBD-3DGS-SLAM is a monocular SLAM system leveraging 3D Gaussian Splatting (3DGS) for accurate point cloud and visual odometry estimation. By integrating neural networks, it estimates depth and camera...
Visual SLAM/odometry package based on NVIDIA-accelerated cuVSLAM
LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping
Underwater Dataset for Visual-Inertial Methods and data with transitioning between multiple refractive media.
