Adrenaline Fueled Development: Racing With Autonomous Vehicles - - PowerPoint PPT Presentation

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Adrenaline Fueled Development: Racing With Autonomous Vehicles - - PowerPoint PPT Presentation

Adrenaline Fueled Development: Racing With Autonomous Vehicles Session: 23317 D A T E Jendrik Jrdening Anthony Navarro Data Scientist Product Lead Akka Technologies Udacity jendrik.joerdening@akka.eu anthony.n@udacity.com 1 7/28/17


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D A T E

Adrenaline Fueled Development: Racing With Autonomous Vehicles

Session: 23317

Jendrik Jördening Anthony Navarro Data Scientist Product Lead Akka Technologies Udacity jendrik.joerdening@akka.eu anthony.n@udacity.com

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The Program

Udacity launched the world’s only Self-Driving Car training program in November 2016 receiving over 15,000 applications for this Nanodegree program!

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The Challenge

Udacity teamed up with PolySync to sponsor a team to participate in the Self-Racing Cars event at Thunderhill Raceway, California on April 1-2, 2017. The challenge was to send a Kia Soul, provided by PolySync, around Thunderhill Raceway autonomously using only a single camera and GPS as sensors.

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The Team

A team of 17 Self-Driving Car students came together on February 15th to participate in the race and represent Udacity and PolySync. The international team was represented 5 different countries from diverse backgrounds with two things in common: a love for learning and self-driving cars!

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Development Phases

weeks to work as a team days of on-site development, training, and integration hours of adrenaline fueled racing and coding Only possible with GPU computations powered by GTX 1070

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Preparation

  • Build a simulator for the

thunderhill race track

  • Examined Polysync Car Sensor

Samples

  • Trained and Tested Neural

Networks

  • Discovered big difference

between Real and Simulation Data

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29th March – Meet & Greet

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30th March Morning – First Day on the Track Race Track

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30th March Evening – Turn, Baby, Turn!

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31st March – Double Failure (Brakes and Steering)

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31st March 4 p.m. – Testing the first models

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1st April 9 a.m. - Race Day 1 Master One Turn

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2nd April 9 a.m. - Race Day 2

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Results

Made it around all turns autonomously! ...but not in one lap

  • How to deploy a real end-to-end deep neural network on a car
  • Integrating physical systems can be difficult
  • Reality and simulation are completely different things
  • Hybrid team from students and industry can benefit each other a lot!
  • Nothing can replace the real-world experience
  • Such events are the greatest networking opportunities
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Path Forward - ROS Bridge and SegNet

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Semantic Segmentation Utilising a U-Net and Feature Extraction from Yolov2 @Akka

Credit: M. Cordts, M. Omran, S. Ramos, T. Rehfeld, M. Enzweiler, R. Benenson, U. Franke, S. Roth, and B.

Schiele, "The Cityscapes Dataset for Semantic Urban Scene Understanding," in Proc. of the IEEE Conference

  • n Computer Vision and Pattern Recognition
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THANK YOU FOR YOUR ATTENTION

Jendrik Jördening Anthony Navarro Data Scientist Product Manager Mailto: jendrik.joerdening@akka.eu Mailto: anthony.n@udacity.com

The full story:

Our Very Own Grand Challenge