Statistics for topic visual-odometry
RepositoryStats tracks 584,797 Github repositories, of these 37 are tagged with the visual-odometry topic. The most common primary language for repositories using this topic is Python (15). Other languages include: C++ (13)
Stargazers over time for topic visual-odometry
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LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping
LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping
Visual SLAM/odometry package based on NVIDIA-accelerated cuVSLAM
Unsupervised Scale-consistent Depth Learning from Video (IJCV2021 & NeurIPS 2019)
Visual SLAM/odometry package based on NVIDIA-accelerated cuVSLAM
MACVO: Metrics-aware Covariance for Learning-based Stereo Visual Odometry
Visual SLAM/odometry package based on NVIDIA-accelerated cuVSLAM
LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing 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)
Underwater Dataset for Visual-Inertial Methods and data with transitioning between multiple refractive media.
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.
Implementation of the paper "Transformer-based model for monocular visual odometry: a video understanding approach".