Carnd Extended Kalman Filter P1

Udacity Self-Driving Car Nanodegree - Extended Kalman Filter implementation
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Project NameStarsDownloadsRepos Using ThisPackages Using ThisMost Recent CommitTotal ReleasesLatest ReleaseOpen IssuesLicenseLanguage
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An unscented Kalman Filter implementation for fusing lidar and radar sensor measurements.
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An extended Kalman Filter implementation in C++ for fusing lidar and radar sensor measurements.
Ai_for_robotics73
5 years agoPython
Visualizations of algorithms covered in Sebastian Thrun's excellent Artificial Intelligence for Robotics course on Udacity.
Sasensorfusionlocalization30
6 years agoC++
Sensor Fusion and Localization related projects of Udacity's Self-driving Car Nanodegree Program:
Extended Kalman Filter23
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Udacity Self-Driving Car Engineer Nanodegree. Project: Extended Kalman Filters
Sensor Fusion21
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Filters: KF, EKF, UKF || Process Models: CV, CTRV || Measurement Models: Radar, Lidar
Self Driving17
6 years agoC++
This project is Udacity Self-Driving Car Engineer Nanodegree implementations.
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Self-Driving Engineer Car Nanodegree
Unscented Kalman Filter9
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Udacity Self-Driving Car Engineer Nanodegree. Project: Unscented Kalman Filters
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Implementation of Kalman Filters - EKF and UKF
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