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This project aims at the estimation of the vehicle state (i.e., pose, velocity, etc.) starting from a dynamic model of a car-like vehicle.

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DunderGG/Vehicle-State-Estimator

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Vehicle State Estimator (VSE) using Kalman Filtering

###PROJECT DESCRIPTION

The control of an autonomous vehicle may be far from trivial since a complete observation (i.e. direct measure) of all parameters involved in the system dynamic cannot be ensured, in particular in the case of non-linear systems. According to the VSE problem, this project aims at the estimation of the vehicle state (i.e., pose, velocity, etc.) starting from a dynamic model of a car-like vehicle. Ground truth positioning data can be automatically generated as a lane-change maneuver then Gaussian noise must be added to assess the filter performances in the noise reduction.

###Build using CMake

Navigate yourself to the root directory of the project. Then run:

$ cmake .

CMake will generate the makefile for the whole project. Then build using:

$ make

And you will see the executable file after that.

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This project aims at the estimation of the vehicle state (i.e., pose, velocity, etc.) starting from a dynamic model of a car-like vehicle.

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