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https://github.com/pptacher/probabilistic_robotics

solution of exercises of the book "probabilistic robotics"
https://github.com/pptacher/probabilistic_robotics

armadillo-library autonomous-vehicles bayesian-inference cpp fastslam google-cloud-platform intel-mkl-library julia kalman-filter lapack matlab navigation numpy particle-filter probabilistic-robotics robotics seif slam textbook-solutions victoria-park-dataset

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solution of exercises of the book "probabilistic robotics"

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# probabilistic_robotics
I am working on detailed solutions of exercises of the book "probabilistic robotics". This is a work in progress, any helpful feedback is welcomed.

I also deployed the fastslam nodejs/c++ app on google cloud [here](http://35.242.140.13:8080) (server running from 0000 to 0800 UTC).

![alt text](https://github.com/pptacher/probabilistic_robotics/blob/master/ch12_the_sparse_extended_information_filter/seif.jpg)
***SEIF** algorithm running on Victoria Park dataset*

## references

- *Probabilistic robotics*, *MIT press*, Sebastian Thrun, Wolfram Burgard and Dieter Fox, [Probabilistic Robotics](https://mitpress.mit.edu/books/probabilistic-robotics)

- *Victoria Park dataset*, The University of Sidney, Eduardo Nebot, [Victoria Park dataset](http://www-personal.acfr.usyd.edu.au/nebot/victoria_park.htm)