Trending repositories for topic visual-odometry
Visual SLAM/odometry package based on NVIDIA-accelerated cuVSLAM
Implementation of the paper "Transformer-based model for monocular visual odometry: a video understanding approach".
LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping
Implementation of the paper "Transformer-based model for monocular visual odometry: a video understanding approach".
Visual SLAM/odometry package based on NVIDIA-accelerated cuVSLAM
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
Implementation of the paper "Transformer-based model for monocular visual odometry: a video understanding approach".
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, ...
An unsupervised learning framework for depth and ego-motion estimation from monocular videos
Implementation of the paper "Transformer-based model for monocular visual odometry: a video understanding approach".
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, ...
LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping
An unsupervised learning framework for depth and ego-motion estimation from monocular videos
Visual SLAM/odometry package based on NVIDIA-accelerated cuVSLAM
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
Implementation of the paper "Transformer-based model for monocular visual odometry: a video understanding approach".
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, ...
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...
An unsupervised learning framework for depth and ego-motion estimation from monocular videos
Harness the power of GPU acceleration for fusing visual odometry and IMU data with an advanced Unscented Kalman Filter (UKF) implementation. Developed in C++ and utilizing CUDA, cuBLAS, and cuSOLVER, ...
Dense Prediction Transformer for scale estimation in monocular visual odometry
A curated list of awesome visual odometry resources.
Underwater Dataset for Visual-Inertial Methods and data with transitioning between multiple refractive media.
Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency (AAAI 2021)
Harness the power of GPU acceleration for fusing visual odometry and IMU data with an advanced Unscented Kalman Filter (UKF) implementation. Developed in C++ and utilizing CUDA, cuBLAS, and cuSOLVER, ...
Implementation of the paper "Transformer-based model for monocular visual odometry: a video understanding approach".
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...
Dense Prediction Transformer for scale estimation in monocular visual odometry
EndoSLAM Dataset and an Unsupervised Monocular Visual Odometry and Depth Estimation Approach for Endoscopic Videos: Endo-SfMLearner
A curated list of awesome visual odometry resources.
Underwater Dataset for Visual-Inertial Methods and data with transitioning between multiple refractive media.
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, ...
LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping
Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency (AAAI 2021)
Efficient monocular visual odometry for ground vehicles on ARM processors
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
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"
EndoSLAM Dataset and an Unsupervised Monocular Visual Odometry and Depth Estimation Approach for Endoscopic Videos: Endo-SfMLearner
StereoVision-SLAM is a real-time visual stereo SLAM (Simultaneous Localization and Mapping)
An unsupervised learning framework for depth and ego-motion estimation from monocular videos
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...
Vop2el is a simple, fast and accurate stereo visual odometry algorithm
[CoRL 21'] TANDEM: Tracking and Dense Mapping in Real-time using Deep Multi-view Stereo
Implementation of the paper "Transformer-based model for monocular visual odometry: a video understanding approach".
Vop2el is a simple, fast and accurate stereo visual odometry algorithm
Harness the power of GPU acceleration for fusing visual odometry and IMU data with an advanced Unscented Kalman Filter (UKF) implementation. Developed in C++ and utilizing CUDA, cuBLAS, and cuSOLVER, ...
Underwater Dataset for Visual-Inertial Methods and data with transitioning between multiple refractive media.
A curated list of awesome visual odometry resources.
Implementation of the paper "Transformer-based model for monocular visual odometry: a video understanding approach".
Visual SLAM/odometry package based on NVIDIA-accelerated cuVSLAM
EndoSLAM Dataset and an Unsupervised Monocular Visual Odometry and Depth Estimation Approach for Endoscopic Videos: Endo-SfMLearner
[ICCV 2021] Official implementation of "The Surprising Effectiveness of Visual Odometry Techniques for Embodied PointGoal Navigation"
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, ...
"Visual-Inertial Dataset" (RA-L'21 with ICRA'21): it contains harsh motions for VO/VIO, like pure rotation or fast rotation with various motion types.
[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"
Dense Prediction Transformer for scale estimation in monocular visual odometry
LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping
Sample code and supplementary materials of IEEE Robotics and Automation Letters (RA-L) with ICRA 2022 paper: "Quasi-globally Optimal and Real-time Visual Compass in Manhattan Structured Environments"