Evolving Vehicle Warning Systems (2006)
Author: Nate Kohl
Many serious automobile accidents could be avoided if drivers were warned of impending crashes before they occur. Creating such warning systems by hand, however, is a difficult and time-consuming task. The goal of this project is to evolve neural networks with NEAT (NeuroEvolution of Augmenting Topologies) to warn about such crashes in real-world environments.

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Nate Kohl Ph.D. Alumni nate [at] natekohl net
Kenneth Stanley Postdoctoral Alumni kstanley [at] cs ucf edu
Risto Miikkulainen Faculty risto [at] cs utexas edu
Rini Sherony Formerly affiliated Collaborator rini sherony [at] tema toyota com
IJCNN-2013 Tutorial on Evolution of Neural Networks 2013
Risto Miikkulainen, To Appear In unpublished. Tutorial slides..
Evolving a Real-World Vehicle Warning System 2006
Nate Kohl, Kenneth Stanley, Risto Miikkulainen, Michael Samples, and Rini Sherony, In Proceedings of the Genetic and Evolutionary Computation Conference 2006.
Neuroevolution of an Automobile Crash Warning System 2005
Kenneth Stanley, Nate Kohl, Rini Sherony, and Risto Miikkulainen, In Proceedings of the Genetic and Evolutionary Computation Conference 2005.
NEAT C++ The NEAT package contains source code implementing the NeuroEvolution of Augmenting Topologies method. The source code i... 2010