Skip to Content
Python Deep Learning - Second Edition
book

Python Deep Learning - Second Edition

by Ivan Vasilev, Daniel Slater, Gianmario Spacagna, Peter Roelants, Valentino Zocca
January 2019
Intermediate to advanced
386 pages
11h 13m
English
Packt Publishing
Content preview from Python Deep Learning - Second Edition

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 ...

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Python Deep Learning

Python Deep Learning

Valentino Zocca, Gianmario Spacagna, Daniel Slater, Peter Roelants

Publisher Resources

ISBN: 9781789348460Supplemental Content