An artificial intelligence vehicle collision avoidance system demonstrated in a simulation that uses neural networks paired with a genetic algorithm and sensors.
In our solution we will create our collision avoidance system using machine learning techniques. It will take the form of a simulation which uses neural networks paired with a genetic algorithm and sensors. Our machine learning model will be responsible for slightly avoiding accidents when the driver is not interacting with the vehicle.
An artificial intelligence vehicle collision avoidance system demonstrated in a simulation that uses neural networks paired with a genetic algorithm and sensors.
https://github.com/iamjovani/vcas.capstone.io/