Date: Sat, 21 Oct 2017 21:00:00 -0400
<h3>Summary</h3> <p>Do you wish that you had a self-driving car of your own? With Donkey you can make that dream a reality. This week Will Roscoe shares the story of how he got involved in the arena of self-driving car hobbyists and ended up building a Python library to act as his pilot. We talked about the hardware involved, how he has evolved the code to meet unexpected challenges, and how he plans to improve it in the future. So go build your own self driving car and take it for a spin!</p> <h3>Preface</h3> <ul> <li>Hello and welcome to Podcast.__init__, the podcast about Python and the people who make it great.</li> <li>I would like to thank everyone who supports us on <a href="https://www.pythonpodcast.com/podcastinit?utm_source=rss&utm_medium=rss">Patreon</a>. Your contributions help to make the show sustainable.</li> <li>When you’re ready to launch your next project you’ll need somewhere to deploy it. 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You can reach me on Twitter at <a href="https://twtiter.com/podcastinit?utm_source=rss&utm_medium=rss" rel="noopener" target="_blank">@Podcast__init__</a> or email <a href="mailto:hosts@podcastinit.com">hosts@podcastinit.com</a>)</li> <li>To help other people find the show please leave a review on <a href="https://itunes.apple.com/us/podcast/podcast.-init/id981834425?mt=2&uo=6&at=&ct=&utm_source=rss&utm_medium=rss" rel="noopener" target="_blank">iTunes</a>, or <a href="https://play.google.com/music/m/I7ogju4xv6adasgqz6545jndgsy?t=Podcastinit_-_Python_and_the_people_who_make_it_great&utm_source=rss&utm_medium=rss" rel="noopener" target="_blank">Google Play Music</a>, tell your friends and co-workers, and share it on social media.</li> <li>Your host as usual is Tobias Macey and today I’m interviewing Will Roscoe about <a href="http://www.donkeycar.com?utm_source=rss&utm_medium=rss" rel="noopener" target="_blank">Donkey</a>, a python library for building DIY self driving cars.</li> </ul> <h3>Interview</h3> <ul> <li>Introductions</li> <li>How did you get introduced to Python?</li> <li>What is Donkey and what was your reason for creating it? <ul> <li>What is the story behind the name?</li> </ul> </li> <li>What was your reason for choosing Python as the language for implementing Donkey and if you were to start over today would you make the same choice?</li> <li>How is Donkey implemented and how has its software architecture evolved?</li> <li>Is the library built in a way that you can process inputs from additional sensor types, such as proximity detectors or LIDAR?</li> <li>For training the autopilot what are the input features that the model is testing against for the input data, and is it possible to change the features that it will try to detect?</li> <li>Do you have plans to incorporate any negative reinforcement techniques for training the pilot models so that errors in data collection can be identified as undesirable outcomes?</li> <li>What have been some of the most interesting or humorous successes and failures while testing your cars?</li> <li>What are some of the challenges involved with getting such a sophisticated stack of software running on a Raspberry Pi?</li> <li>What are some of the improvements or new features that you have planned for the future of Donkey?</li> </ul> <h3>Media</h3> <p><a href="https://photos.google.com/u/1/share/AF1QipNJln5tOUIaI65IzlpPkD37LtODCtl_RiSiuOApyayAKh2m0U3zERBiMslmdVigoA?key=bkdkek5vaUtNeG1laGtvdlFoUmZCWVotTm4zNWRR&utm_source=rss&utm_medium=rss" rel="noopener" target="_blank">Donkey Car Photos</a></p> <h3>Keep In Touch</h3> <ul> <li><a href="http://www.donkeycar.com/community.html?utm_source=rss&utm_medium=rss" rel="noopener" target="_blank">Donkey Slack Channel</a></li> <li><a href="https://twitter.com/dataduce?utm_source=rss&utm_medium=rss" rel="noopener" target="_blank">Wills Twitter – @dataduce</a></li> <li><a href="https://twitter.com/search?q=%23donkeycar&src=typd&utm_source=rss&utm_medium=rss" rel="noopener" target="_blank">#donkeycar on social</a></li> </ul> <h3>Picks</h3> <ul> <li>Tobias <ul> <li><a href="http://www.orgzly.com/help?utm_source=rss&utm_medium=rss" rel="noopener" target="_blank">Orgzly</a></li> <li><a href="https://github.com/danielmagnussons/orgmode?utm_source=rss&utm_medium=rss" rel="noopener" target="_blank">Org Mode for Sublime</a></li> <li><a href="https://marketplace.visualstudio.com/items?itemName=tootone.org-mode&utm_source=rss&utm_medium=rss" rel="noopener" target="_blank">Org Mode for VSCode</a></li> <li><a href="https://github.com/jceb/vim-orgmode?utm_source=rss&utm_medium=rss" rel="noopener" target="_blank">Org Mode for Vim</a> </li> </ul> </li> <li>Will <ul> <li><a href="https://www.audible.com/pd/Business/Algorithms-to-Live-By-Audiobook/B01D24NLWO?utm_source=rss&utm_medium=rss" rel="noopener" target="_blank">Algorithms to Live By</a></li> <li><a href="https://en.wikipedia.org/wiki/The_Structure_of_Scientific_Revolutions?utm_source=rss&utm_medium=rss" rel="noopener" target="_blank">The Structure of Scientific Revolutions</a></li> <li><a href="https://play.google.com/music/m/T2dg4fdal7vhqn7spay4kc45oba?t=Preem_-_Super_Flu&utm_source=rss&utm_medium=rss" rel="noopener" target="_blank">A song I can’t stop nodding my head to</a></li> </ul> </li> </ul> <h3>Links</h3> <ul> <li><a href="http://www.donkeycar.com/?utm_source=rss&utm_medium=rss" rel="noopener" target="_blank">Donkey Car</a></li> <li><a href="https://diyrobocars.com/?utm_source=rss&utm_medium=rss" rel="noopener" target="_blank">DIY Robocars</a></li> <li><a href="http://www.tornadoweb.org/en/stable/?utm_source=rss&utm_medium=rss" rel="noopener" target="_blank">Tornado</a></li> <li>[Tornado on Podcast.<strong>init</strong>](https://www.pythonpodcast.com/episode-40-ben-darnell-on-tornado/?utmsource=rss&utmmedium=rss</li> <li><a href="https://www.raspberrypi.org/?utm_source=rss&utm_medium=rss" rel="noopener" target="_blank">Raspberry Pi</a></li> <li><a href="https://www.tensorflow.org/?utm_source=rss&utm_medium=rss" rel="noopener" target="_blank">TensorFlow</a></li> <li><a href="https://en.wikipedia.org/wiki/Convolutional_neural_network?utm_source=rss&utm_medium=rss" rel="noopener" target="_blank">Convolutional Neural Network</a></li> <li><a href="https://www.adafruit.com/?utm_source=rss&utm_medium=rss" rel="noopener" target="_blank">Adafruit</a></li> <li><a href="https://en.wikipedia.org/wiki/Lidar?utm_source=rss&utm_medium=rss" rel="noopener" target="_blank">LIDAR</a></li> <li><a href="http://www.ros.org/?utm_source=rss&utm_medium=rss" rel="noopener" target="_blank">ROS (Robot Operating System)</a></li> <li><a href="https://unity3d.com/?utm_source=rss&utm_medium=rss" rel="noopener" target="_blank">Unity</a></li> <li><a href="https://www.udacity.com/course/self-driving-car-engineer-nanodegree--nd013?utm_source=rss&utm_medium=rss" rel="noopener" target="_blank">Udacity self driving car nano-degree</a></li> <li><a href="https://www.sparkfun.com/?utm_source=rss&utm_medium=rss" rel="noopener" target="_blank">SparkFun</a></li> <li><a href="http://beagleboard.org/?utm_source=rss&utm_medium=rss" rel="noopener" target="_blank">Beagleboard</a></li> <li><a href="https://www.linkedin.com/in/adammconway/?utm_source=rss&utm_medium=rss" rel="noopener" target="_blank">Adam Conway</a></li> </ul> <p>The intro and outro music is from Requiem for a Fish <a href="http://freemusicarchive.org/music/The_Freak_Fandango_Orchestra/?utm_source=rss&utm_medium=rss" rel="noopener" target="_blank">The Freak Fandango Orchestra</a> / <a href="http://creativecommons.org/licenses/by-sa/3.0/?utm_source=rss&utm_medium=rss" rel="noopener" target="_blank">CC BY-SA</a><img alt="" height="0" src="https://analytics.boundlessnotions.com/piwik.php?idsite=1&rec=1&url=https%3A%2F%2Fwww.pythonpodcast.com%2Fdonkey-with-will-roscoe-episode-132%2F&action_name=Donkey%3A+Building+Self+Driving+Cars+with+Will+Roscoe+-+Episode+132&urlref=https%3A%2F%2Fwww.pythonpodcast.com%2Ffeed%2F&utm_source=rss&utm_medium=rss" style="border: 0; width: 0; height: 0;" width="0" /></p>