RightHook is making a community version of their cloud-based simulator available to Self Racing Cars teams! Each team has access to the simulator for 40 hours to win one or more of the four challenges around the Thunderhill West track. To help get everyone started, they are providing an example controller and ten laps of training data. Sign up to get access.
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.
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!
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 data.selfracingcars.com.
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 polysync.io and support.polysync.io 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!
Swift Navigation has published documentation and a dataset of high resolution GPS data collected at our last event at Thunderhill West. Developers interested in using the Piksi in their designs can see what the racetrack would look like. We also have published a copy of the data at data.selfracingcars.com.
Several other teams are preparing datasets for release and we will announce them shortly.
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 data.selfracingcars.com.
The raw data behind that web page is available for download under a Creative Commons Attribution 4.0 International license and include:
- Georeferenced optical scans (warning: 200mb!)
- Georeferenced false color infrared data (and raw as well)
- Digital elevation map
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 email@example.com if you have any of the following things to test:
- Autonomous vehicles
- Drivetrain innovation (electric or otherwise)
- Sensors and Cameras
- Software and Algorithms
- Connected Cars (v2v or v2i)
We can supply cars and drivers available for teams that need it (eg cameras, sensors, etc.)
- comma.ai (Autonomous Cars)
- Renovo Motors (Vehicle Platform for Autonomous/Connected/Electric)
- "Right Turn Clyde" (Autonomous GoKart)
- EV Race Systems (Electric Racing Platform)
- PolySync (Autonomous Vehicle Software Platform)
- AutonomouStuff (Autonomous Hardware and Development Platform)
- Varden Labs (Autonomous Vehicle)
- DENSO International America (Developer and Implementer of ADAS technologies)
- A+PRS HackPittsburgh (Autonomous Vehicle)
- Yamaha Motor Ventures & Laboratory
Sensor and Platform teams:
- Scanse (LIDAR)
- Swift Navigation, Inc. (GPS for Autonomous Vehicles)
- Velodyne LIDAR
- Hyperdrive (Driving, gamified)
- Revl (Camera)
- StereoLabs (Optical Depth Sensing Cameras)
- Ansync (Custom Engineering)
- NVIDIA (Self-Driving Car Platforms)
- Nauto (Cloud Sensor Platform)
- RaceCast (Motorsports Live Streaming Platform)
- Point One Navigation (Spatial Localization for Autonomous Cars)
- Xsens (GNSS/INS)
- Fairchild Semiconductor (Inertial Measurement Units)
Prenav (Precise, autonomous robots)
- Joshua Schachter
- Darren Liccardo
- Chris Heiser
- Damien Scott
- Lars Buttler
- Jon Alain Guzik
- David Sosnow
- Josh Hartung
- Mark Dadgar
Apply to attend the event.