Videos from 2017 event at Thunderhill Raceway

We produced some short videos with an event recap, and short summaries about our participants.

Overall event summary and race results!

AutonomouStuff, providing autonomy components and engineering 

SwiftNav, a high precision satellite-based positioning system

PointOne, a high precision localization system and winner of this year's race!

XSens, an inertial measurement system (IMU)

Right Turn Clyde, an autonomous go-kart

PolySync with their OSCC autonomous control platform

DIYRobocars, a miniature autonomous vehicle league

Dataset from event winner Point One Navigation

Point One Navigation, our April 2017 event winner, has just posted a dataset captured from their vehicle.

This data contains the system logs for Point One Navigation’s autonomous vehicle that won the Self Racing Cars event in April 2017.

The log files are simple CSV with commanded and actual actuation data as well as position, velocity and heading solutions and subsampled raw inertial data. Images are also available for Saturday’s run.

April 2017 Time Trial Results

Congratulations to all who competed in our April 1-2 event and thank you to everyone who came to watch!

The fastest fully autonomous laps for this event were:

Right Turn Clyde and Team Soulless (Udacity's student team) came just shy of full autonomous laps. We are excited to see them compete again at the next event, which is hopefully soon!


Run your code on a real car with Udacity & PolySync

Udacity and PolySync have partnered to offer developers and students the opportunity to run code on their OSCC car at the next Self Racing Cars event.

Udacity is also a prize for the fastest lap of the track, so this is a good opportunity for anyone who wants to try their hand at laying down an autonomous hot lap.

More information about the challenge is available at Udacity's blog post.

Announcing our next event

Note - this event has passed. Subscribe to our announcements to find out about the one.

Announcing our next Event, April 1-2, 2017

Following the success of the inaugural event last year, Self Racing Cars returns with a new track day designed to push autonomous cars towards true race-ready shape.  We're expecting more cars, higher speeds, and some very clever engineering.  We will be running a testing and competition event at Thunderhill West on April 1-2, 2017

Testing and Demoing

Please apply to attend if you have any of the following things to test or demo:

  • Autonomous vehicles
  • Drivetrain innovation (electric or otherwise)
  • Sensors
  • Cameras
  • Software and Algorithms
  • Teleoperation
  • Connected Cars (v2v or v2i)

Independent and hobbyist teams are especially welcome. Smaller vehicles and robots can be tested and demoed in the paddock.

We can help match you with a driver and vehicle if you are testing systems, especially sensors. 


We will be running timing and scoring for best autonomous laps the full-sized 2.1 mile track. Any vehicle that can make the two mile lap is welcome to attempt.  Awards will be given for top performers in each class, with competition classes (e.g. "full-sized vehicle", "gas-powered go-kart", "teleoperated", etc.) to be determined as the event unfolds. will be sponsoring a prize for "fastest full track by comma neo vehicle." More details are available!

Udacity will be  competing and sponsoring a prize for “fastest full track by an independent or small company team” and “fastest 1/10th scale lap". More details are available!

If you are interested in sponsoring a challenge, please contact us at

We are currently working on simple vehicle build based on a CIK competition go-kart so that there is a starting point for a future competition class. We are also working on a simple radio flags system. Both of these will be documented as they develop.


As with our last event, we will be sharing data collected with various sensors and systems. Developers building on your systems will be able to see what the output looks like in a real-world yet controlled situation.

Confirmed Attendees

Smaller Courses for Smaller Vehicles

Chris Anderson of DIYRobocars will be running two courses for smaller autonomous cars (1/10th scale and 1/16th scale), which can use cameras, GPS, LIDAR and other sensors to navigate the course. The larger track for 1/10th scale cars will have white lines and obstacles. The smaller track for 1/16th scale will be marked with RGB tape lanes. DIYRobocars also runs a monthly hack and test in Oakland, CA.

Sign Up

Please sign up to participate here, or send us an email at

1/10th and 1/16th scaled entrants should sign up at the DIYRoboCars meetup page.

Spectators (including press, investors, students, engineers), please sign up here.

Participate via Social Media

We've created a subreddit, /r/selfracingcars/ for discussing implementation of autonomous vehicles of any size.

Sign up for announcements at our mailing list, follow @selfracingcars on twitter, and follow us on Facebook.

Videos from May Event

We've produced some videos about the event to let people find out about what happened and get people excited about future events.

Overall Event Summary

Power Series Racing with Jim Burke - sub $1000 autonomous vehicle competition

Comma.AI with George Hotz - company developing autonomous vehicles

Swift Navigation with Dennis Zollo - centimeter accurate GPS

PolySync with Josh Hartung - vehicle software platform

Renovo with Chris Heiser - high end electric vehicle platform

AutonomouStuff with Bobby Hambrick - autonomous development platform

Plus a bonus video, The Race to Autonomous Driving,  produced by our friends at Velodyne

Thanks to Matt Cross at Frame44 for filming, editing, and producing these videos!

XSens/Fairchild Dataset Available

Fairchild Semiconductor and Xsens have shared the datasets captured on their MEMS Attitude Heading Reference Systems (AHRS) and GNSS/INS systems. The files include measurements from the Fairchild FIS1100 6 Degree of Freedom (DoF) IMU, the Fairchild FMT-1030 AHRS, the Xsens MTi-3 AHRS, and the Xsens MTi-G-710 GNSS/INS. The files from the event can all be read in the MT Manager software, available as part of the MT Software Suite, available here.

The dataset is now available at

PolySync Dataset Available

We're happy to announce the release of the PolySync dataset from our first event. This dataset represents an entire session at Thunderhill Raceway, as captured by our research vehicle using multiple LiDAR, GPS, video, MobilEye, radar, and ultrasonic sensors. 

Download the PolySync dataset here. To view and interact with the dataset, you will need to request a free trial of PolySync. We recommend you visit and learn more about PolySync, how it works, and how to use it for your project.

While you're at it, you can check out a preview of the visualized dataset (as seen in PolySync Studio) here

PS: PolySync's Kia was piloted by none other than Mark Drennan, who recently stepped up to be a professional race car driver in the 2016 Battery Tender MX-5 Cup!

Event Photos and First Dataset

Got Blue Milk took photos from our event. I've uploaded them to a photo album. Please help me annotate who is in each picture! If you have photos to contribute, please drop us a line.

Velodyne released three runs captured on track with both the HDL-32 and VLP-16. I have uploaded the data to A free viewer is available as well as documentation.

Several other teams are preparing datasets for release and we will announce them shortly.

More Data Is Needed

In order to make it easier for people to build autonomous vehicles for this event in the future, we will be publishing datasets captured from various sensors on the cars and near the track at

Our first dataset is an optical and thermal aerial survey from our friends at Kairos Aerospace. A lovely tile viewer is available.

The raw data behind that web page is available for download under a Creative Commons Attribution 4.0 International license and include:


Announcing the First Autonomous Track Day

Note - this event has passed. Subscribe to our announcements to get the next one.

We're running a testing weekend for groups interested in autonomous vehicles and related technologies on May 28th and 29th at Thunderhill Raceway. We intend to extend this out to several events, and eventually add autonomous racing to the events.

Please drop us a note at if you have any of the following things to test:

  • Autonomous vehicles
  • Drivetrain innovation (electric or otherwise)
  • Sensors and Cameras
  • Software and Algorithms
  • Teleoperation
  • Connected Cars (v2v or v2i)

We can supply cars and drivers available for teams that need it (eg cameras, sensors, etc.)

Confirmed vehicles:

Sensor and Platform teams:


  • Joshua Schachter
  • Darren Liccardo
  • Chris Heiser
  • Damien Scott
  • Lars Buttler
  • Jon Alain Guzik
  • David Sosnow
  • Josh Hartung
  • Mark Dadgar

Sign up for announcements at our mailing list and follow @selfracingcars on twitter.

Apply to attend the event.