WSDC 6
Details
3 pretentions:
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Can a robot race like a pro? State of the art of high-velocity vehicle control. By Adam Gotlib
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From zero to simple self-driving car using DonkeyCar. By Michał Sochoń
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Training a neural network for driving an autonomous RC car. By Maciej Dziubiński
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2:
Michał Sochoń is a Senior Systems and Network Engineer, helping within a team and organization in overall automation, especially in CI/CD integration, managing and helping from moving from testing to production systems idependently if it is on-premise, hybrid or pure cloud setup. He always wanted to have a RC car and also was recently getting interested with ML/AI, but never had time to even start it. By coincidence he discovered DonkeyCar project, which integrates both technologies, but in the pricing range of a hobby and not a full-time job. In his presentation we will be able to get more details how to start with self-driving car in 1:16 scale from complete zero.
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3:
I will present a RC-based model of an autonomous car that can drive around a pond next to my house.
The main sensor is an Intel D435i depth camera (IMU included) and the main computational unit is the Jetson TX1 which has a GPGPU which I utilized for faster inference.
The car is controlled by a tiny convnet (trained on low-res depth images) that yields predictions in 3.5ms (on average).
The presentation will be in a form of Q&A where I'll try to answer questions like:
how to build a car like this?
where to look for resources / inspirations?
what limitations should one be aware of before starting?
what else can one do with a simple model like this?
and, hopefully, other questions from the participants of the talk.
The presentation is an extension / discussion of a blog post published on Medium:
https://medium.com/asap-report/training-a-neural-network-for-driving-an-autonomous-rc-car-3906db91f3e
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=== Important info ===
Building closes at 6pm, but you will still be able to enter, there will be more information on window.
WSDC 6