Motion Estimation
Showing 7 of 7 projects
A curated list of papers, software, and resources for 3D reconstruction from images, covering SLAM, SfM, and MVS.
PyTorch implementation of FlowNet 2.0 for optical flow estimation using deep neural networks.
A fast semi-direct monocular visual odometry pipeline for robotics and computer vision applications.
A robust visual-inertial odometry framework for real-time motion estimation using cameras and IMUs.
Official PyTorch implementation for joint monocular 3D vehicle detection and tracking from ICCV 2019.
A ROS wrapper for libviso2, enabling visual odometry for monocular and omnidirectional camera systems in robotics.
A recursive B-spline-based state estimation framework for 6-DoF LiDAR odometry, supporting LiDAR-only, LiDAR-inertial, and multi-LiDAR configurations.
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