Name: Self Driving Car: Deep Learning Meets Robotics
Start: 2018-02-13T17:30:00-06:00
End: 2018-02-13T20:00:00-06:00
Location: DevJam

We will hear from David Frenk* on:

Intro
- The AI revolution and how self-driving cars fit in: Deep Learning meets Robotics
- Early attempts at autonomous vehicles (including some pretty funny video footage)
- The current state of the art (people will be surprised by how many AVs are already on the roads)
- The biggest breakthrough yet: YOLO network (with awesome video of real-time object detection)

Deep Dive - Computer Vision for AVs
- What a computer sees: Image pre-processing: filtering, etc.
- How a computer reasons about what it sees: Convolutional Neural Networks overview (including some cool examples of computer generated art and neural style transfer)
- Live Demo: YOLO network in action (have some people come up on stage with props, take a photo, and run real-time object detection on the photo)

My Self-Parking Car project
- Robot design
- Project structure
- Data-collection process
- Live Demo: Have an audience member set up a "curb" and watch the robot parallel park.

*David Frenk is a Twin Cities software engineer currently working as a consultant for Target. He has previously worked on AI-driven fintech at Masters Capital Management and IoT applications at Trane. David has a Masters degree in Philosophy from Oxford and did 2 years of postgraduate work at NYU where he studied artificial intelligence and mathematical models of cognition. He has been developing a self-parking robotic car since mid-2017.

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Self Driving Car: Deep Learning Meets Robotics

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