Python Deep Learning - Second Edition
by Ivan Vasilev, Daniel Slater, Gianmario Spacagna, Peter Roelants, Valentino Zocca
Planning
Planning (or driving policy) is the process of calculating the vehicle trajectory and speed. Although we might have an accurate map and exact location of the vehicle, we still need to keep in mind the dynamics of the environment. The car is surrounded by other moving vehicles, pedestrians, traffic lights, and so on. What happens if the vehicle in front stops suddenly? Or if it's moving too slow? Our AV has to make the decision to overtake and then execute the maneuver. This is an area where ML and DL in particular can be especially useful.
One obstacle in AV research is that building an AV and obtaining the necessary permits to test it is very expensive and time consuming. Thankfully, we can still train our algorithms with the help ...
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