Extended Kalman Filter

Full Video on YouTube

Objective

Utilize a kalman filter to estimate the state of a moving object of interest with noisy lidar and radar measurements. Passing the project requires obtaining RMSE values that are lower than the tolerance outlined in the project rubric.

What I Learned

Bayes Theorm

Sensor Fusion: Radar and Lidar

Languages

C++

Included Files

Extended Kalman Filter

Name		Name	Last commit message	Last commit date
Latest commit History 103 Commits
Docs		Docs
ScreenShots		ScreenShots
WriteUp		WriteUp
data		data
ide_profiles		ide_profiles
src		src
.gitignore		.gitignore
CMakeLists.txt		CMakeLists.txt
FusionEKF.cpp		FusionEKF.cpp
FusionEKF.h		FusionEKF.h
LICENSE		LICENSE
README.md		README.md
cmakepatch.txt		cmakepatch.txt
install-mac.sh		install-mac.sh
install-ubuntu.sh		install-ubuntu.sh
json.hpp		json.hpp
kalman_filter.cpp		kalman_filter.cpp
kalman_filter.h		kalman_filter.h
main.cpp		main.cpp
measurement_package.h		measurement_package.h
tools.cpp		tools.cpp
tools.h		tools.h

License

JohnMansell/CarND-Extended-Kalman-Filter-Project

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Extended Kalman Filter

Full Video on YouTube

Objective

What I Learned

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Included Files

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