Implemented an Extended Kalman Filter algorithm in C++ capable of tracking a pedestrian's motion in two dimensions.
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Updated
Jul 29, 2017 - C++
Implemented an Extended Kalman Filter algorithm in C++ capable of tracking a pedestrian's motion in two dimensions.
Un projet de recyclage de plastique en vue d'une utilisation en impression
the 2nd term of Udacity SDC nanodegree, 5 projects in the scope of sensor fusion, localization
Fuzzy fusion finder for next generation sequencing data.
HDR-MRI Algorithms from "Local contrast-enhanced MR images via high dynamic range processing" published in MRM
Single object tracking through fusion methods
Filters: KF, EKF, UKF || Process Models: CV, CTRV || Measurement Models: Radar, Lidar
fuses obstacles from multiple sources using a Kalman Filter
CPU implementation of "Pixelwise View Selection for Unstructured Multi-View Stereo (Schönberger et al.)"
A JSON stringifier / parser that uses boost fusion introspection methods for automagic struct <-> JSON conversion (including allmost all STL containers)
基于opencv实现图像处理功能(包括平滑、锐化、减影、伪彩以及融合)
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