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This is an archived project. Repository and other project resources are read-only.
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RoboGuide
filter_bay
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v0.2
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3
dev
master
default
protected
no_conan
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4
v0.4.3
v0.42
v0.3
v0.2
7 results
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Created with Raphaël 2.2.0
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plain cmake so no catkin_lint
master
master
Update .gitlab-ci.yml
Merge branch 'gitlab-ci' into 'master'
Gitlab ci
Merge branch 'no_conan' into 'master'
No conan
Fixed typo in readme
no_conan
no_conan
proper cmake Config: imported targets and find_dependency
removed conanfile in favour of cmake package
particles replacer added, v0.4.3
v0.4.3
v0.4.3
Refactor to uniform_sampler.
Using std::normal_distribution.
v0.42
v0.42
Output of maximum likelihood for particle filters
better returns of effective samples size
fixed wrong type in states vector
v0.3
v0.3
fixed cmake, update conan version
less templated particle filter
Merge branch 'master' of git.rwth-aachen.de:robo_guide/filter_bay
removed cmake config
Update README.md
using bincrafters conan googletest
v0.2
v0.2
Using conan to package this library.
Upgrade CMake Versiong
using the log effective sample size
effective sample size can be retrieved
Removed namespace in export
targeting c++11
fixed the config.cmake
inlining log_arithmetics to avoid multiple definition errors
Improved CMAKE for in-source build
marked as using doxygen
Improved the update by likelihoods flow.
Removed input from prediction function.
The normal sampler has templated functions instead of a templated class.
switched to dynamically sized particle count (statea & weights)
Enabled batch likelihoods
cmake package can be found via find_package()
Added MAP estimator to the particle filters.
Merge pull request #2 from Tuebel/dev
using std math functions in log_arithmetics.
dev
dev
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