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A general framework for map-based visual localization. It contains 1) Map Generation which support traditional features or deeplearning features. 2) Hierarchical-Localizationvisual in visual(points or line) map. 3)Fusion framework with IMU, wheel odom and GPS sensors.
ICEpy4D is a multi-purpose Python package for 4D Image-based Continuos monitoring of glaciers' Evolution with deep learning SfM and low-cost stereo-cameras
2D Feature Tracking project using OpenCV detectors and descriptors for keypoint tracking in multiple frames. The project uses a variety of detectors and descriptors and performs analysis of the best possible combination with regards to processing time and detection precision.
The Kanade-Lucas-Tomasi (KLT) Feature Tracker algorithm estimates the 2D translation and scale changes of an image template between original template coordinates and a given reference image using the Inverse Compositional algorithm.