Statistics for topic visual-odometry
RepositoryStats tracks 616,201 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
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An unsupervised learning framework for depth and ego-motion estimation from monocular videos
An unsupervised learning framework for depth and ego-motion estimation from monocular videos
EndoSLAM Dataset and an Unsupervised Monocular Visual Odometry and Depth Estimation Approach for Endoscopic Videos: Endo-SfMLearner
LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping
EndoSLAM Dataset and an Unsupervised Monocular Visual Odometry and Depth Estimation Approach for Endoscopic Videos: Endo-SfMLearner
LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping
Visual SLAM/odometry package based on NVIDIA-accelerated cuVSLAM
LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping
Vop2el is a simple, fast and accurate stereo visual odometry algorithm
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...
MAC-VO: Metrics-aware Covariance for Learning-based Stereo Visual Odometry
StereoVision-SLAM is a real-time visual stereo SLAM (Simultaneous Localization and Mapping)
Vop2el is a simple, fast and accurate stereo visual odometry algorithm
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
Vop2el is a simple, fast and accurate stereo visual odometry algorithm
Underwater Dataset for Visual-Inertial Methods and data with transitioning between multiple refractive media.