Rather than the traditional entire pipeline, we can use a deep neural network to execute the intermediate multi-branch steps:

$Camera:Images-\left(Deep:Learning\right)->Steering:direction$

Autonomous driving relies heavily on machine learning to detect objects and take action accordingly. The pipeline for this is not linear and is more complex. The three components of this pipeline detect cars, detect pedestrians, and then plot a path for the car to take to avoid both of these.