University of Hawai'i
UC San Diego
Team AI Racing Tech
"Advanced artificial intelligence supporting high speed autonomous racing "
BREAKING NEWS: AI Racing Tech wins 2nd place in the 2022
INDY AUTONOMOUS CHALLENGE!!!
On Friday November 11th AI Racing Tech became the top ranked US Team after the final race of the head to head Indy Autonomous Challenge at Texas Motor Speedway, on November 11th. Check the recorded livestream at https://www.twitch.tv/indyachallenge
The University of Hawai’i AI Racing Tech (ART) team has grown out of the spring 2020 UH-Maui Autonomous Vehicle Technology (AVT) class. It started small and went from scaled vehicles to go-kart-sized to full-sized Indy Lights racing cars. The Maui ART team has partnered with the brilliant faculty and students from UH-Manoa, UC Berkeley, Carnegie Mellon, and Triton-AI UC San Diego to proudly be called AI Racing Teach!
This collaboration is working to enrich the skills and resources of the schools as well as to demonstrate the collaboration and valuable Ohan'a (Good Will) the various campuses have for each other.
No driver, just software. Imagine driver-less autonomous vehicles battling wheel to wheel for track position and podium success. All to help improve the performance and safety of vehicles of tomorrow...
Autonomous racing is the ultimate engineering challenge. The driver is replaced with a variety of sensors that act as the eyes and ears of the vehicle, feeding the data to a planning and control algorithm that students develop and tune!
AI Racing Tech team is one of nine teams that currently compete in the Indy Autonomous Challenge (IAC). The IAC is a broadly collaborative effort that brings together public-private partnerships and academic institutions to challenge university students around the world to imagine, invent and prove a new generation of automated vehicle software to run fully autonomous racecars. As this competition is a significantly greater challenge the UH-ART team is proud to be collaborating with the UH-Manoa Robotics Lab, UC Berkeley, and Triton-AI UC San Diego to form the AI Racing Tech team!
One of AI Racing Tech's main focuses has been to develop advanced simulation environments that test autonomous software stacks in an "as real-world" setting as possible (Sim to Real). This Sim to Real focus is a valuable solution to the challenge of needing many hours on a racetrack to properly advance an autonomous software stack.
AI Racing Tech has been a leading developer in simulation environments for both the Indianapolis Motor Speedway and Las Vegas Motor Speed Way. Developing accurate 3d maps and race car dynamics for SVL Simulator and VRExperence powered by Ansys.
As part of the AI Racing Tech team, the goal was to pull together the resources to allow both UH and Triton-AI UC San Diego classes (team) to put together a human-scale autonomous vehicle based on an evKart to compete in the 2022 Purdue-sponsored international competition for racing an evKart in the Autonomous Masters division. In preparing for that competition the class acquired a base evKart from TopKart and is actively working toward building and improving its autonomous capability. AI Racing Tech team has successfully competed and placed 3rd for the 2021 evGrandPrix challenge and is currently working on improvements for the 2022 race at Purdue.
In 2020 UHMC built its first dedicated course on Autonomous Vehicle Technology. The course was UH-MC ETRO293v – Autonomous Vehicle Technologies. The focus of the course was to build up undergraduate students’ knowledge of the many elements of autonomous vehicle design and operation as well as give the students additional hands-on experience using their knowledge from other UH-MC classes. At the core was an emphasis on addressing autonomous racing considerations and pushing the envelope on the software and hardware used in autonomous vehicles. The Class is proposed for Spring 2022 and will move from Jetson Racers to much more sophisticated F1Tenth vehicles and give the students a chance to participate in both virtual as well as actual track events. We also plan to add a possible intern or two from a local high school under a “fast start program”.
The AI Racing Tech team proudly counts on the support of a number of industry corporations and leaders as well as many local community sources.
Some of these are New Eagle LLC (DbW), ADLINK (Compute processors and ROS2 support), Luxonis (Camera and Neural Networking), PointOneNav(GNSS/RTK/IMU), Emlid (GNSS/RTK), RockWestComposites (Composite Mat’ls) and many others.
Beyond the amazing international support for the University of Hawai’i, we locally have the support of the Maui Robotic Vehicle Association (MRVA), St. Anthony School STEM program, VectorAero LLC, and many others. We look to add to this list.
Gaia Platform is a data-centric, high-performance environment for rapidly building complex applications at the edge. This allows edge and autonomous machines to carry out complex activities over long periods of time, unsupervised, and often disconnected. The platform is written in a declarative programming language allowing developers to write 10X less code, making it easier to write, debug, test, deploy and maintain.
WHAT ARE WE UP TO
2nd place @ Ev-Grand Prix, 2022!
CES , Race Day Recap!
Once again, #history was made by the teams at this year's #ces2022. Although we did not get the chance to compete on race day, we made huge advancements thanks to UC San Diego, Triton AI UC San Diego, and some help from our #Berkeley friends! We can't wait for the next race, where we expect to make some heads turn and go even faster! Big Mahalo to everyone that made this race possible!
Indy, Race Day Recap!
Race day being a little over a week ago, the AI Racing Tech team couldn't be more proud of all the hard work that went into ACHIEVING 6th place!! Big Mahalo to Triton AI UC San Diego for being our partner in crime, Gaia Platform for the amazing guidance and support, and ADLINK Technology for making such fast robots! We would also like to give a special shoutout to Ubuntu for the ultra-reliable operating system, and #Z1analyzer for the amazing live telemetry!
See more about Racing Simulations!