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. Student (Alumni) nate@cs.utexas.edu
Kenneth Stanley Postdoc (Alumni) kstanley@cs.ucf.edu
Risto Miikkulainen Professor risto@cs.utexas.edu
IJCNN-2013 Tutorial on Evolution of Neural Networks 2013
Risto Miikkulainen
Evolving a Real-World Vehicle Warning System 2006
Nate Kohl, Kenneth Stanley, Risto Miikkulainen, Michael Samples, and Rini Sherony
Neuroevolution of an Automobile Crash Warning System 2005
Kenneth Stanley, Nate Kohl, Rini Sherony, and Risto Miikkulainen
NEAT C++ The NEAT package contains source code implementing the NeuroEvolution of Augmenting Topologies method. The source code i... 2010