Speeding to Tier Victory at CES 2025
LAS VEGAS, NV, January 9 - Under unusually cold and blustery conditions at Las Vegas Motor Speedway, the UC Berkeley-led AI Racing Tech autonomous racing team ran away with the trophy for their victory in the passing competition at the Indy Autonomous Challenge (IAC) at CES 2025.
“This is just amazing,” Team Principal Gary Passon said in an interview after the win. “These students have worked so hard. To come here and have everything go exactly as we planned it, exactly like we wanted to see it, was just an amazing experience.”
Read the full story, Speeding to Tier Victory @CES ’25, on the ROAR website.
NEWS & EVENTS
AV-24s RETURN TO LAS VEGAS
BERKELEY, CA, December 19, 2024 – The world’s fastest autonomous racecars – the AV-24s, unveiled last year at CES 2024 – return to the Las Vegas Motor Speedway next month, this time at top speeds. After a year of testing and pushing boundaries, AI Racing Tech and the nine competing teams of the international Indy Autonomous Challenge (IAC) reconvene for a head-to-head match-up on January 9 at CES 2025.
See the story on the ROAR website.
A.R.T. Competes @IAC 2024 @IMS
INDIANAPOLIS, September 6, 2024 – AI Racing Tech, led by UC Berkeley, along with the UC San Diego and Carnegie Mellon University, competed in the 2024 Indy Autonomous Challenge (IAC) at the "Racing Capital of the World," Indianapolis Motor Speedway. In the first-ever head-to-head competition of the new AV-24s – World’s Fastest Autonomous Racecars – nine international teams representing a total of 18 universities put their software to the test at speeds up to 184 MPH.
See the story on the ROAR website.
UC Berkeley ROAR Takes the Lead
BERKELEY, November 13, 2023 - The University of California, Berkeley, the world’s number one public university, assumes leadership of the nation’s most decorated autonomous racecar team in the Indy Autonomous Challenge. Since its launch at the University of Hawai’i, AI Racing Tech has risen to prominence for advancing a sophisticated stack of autonomy, AI, and “sim-to-real” technologies under high-stakes, high-speed racing conditions, as well as for winning races and setting speed records.
LAS VEGAS - At CES 2023, AI Racing Tech sweeps into third place, taking out MIT. Watch the winning race here.
ART takes 2nd Place at Texas 2022!
FORT WORTH - In an upset, AI Racing Tech swept into second place in the international head-to-head race at IAC 2022 on the Texas Motor Speedway. Find out more. & learn how you can support us!
In the final stretch to prepare for the November 11 Indy 2022 Autonomous Challenge at Texas Motor Speedway, the team put in long days and long nights in Fort Worth. Footage courtesy of Zhihao Deng/filmmaker Cute Cake.
AI Racing Tech at IAC 2021, first-ever international driverless car competition!
INDIANAPOLIS - The University of Hawaiʻi made history competing in the Indy Autonomous Challenge 2021 — the first-ever autonomous race car event. AI Racing Tech achieved its fastest speed ever and placed sixth in the competition.
2020-2023 Gallery
INITIATIVES
No driver, just software. Imagine driverless autonomous vehicles battling wheel-to-wheel for track position and podium success. All to improve the performance and safety of vehicles of tomorrow.
Autonomous racing is the ultimate engineering challenge. Driver are replaced with sensors that act as the eyes and ears of the vehicle, feeding data to planning and control algorithms devekped and fine-tuned by university engineering students.
AI Racing Tech team is one of 10 teams that compete in the Indy Autonomous Challenge (IAC), a collaborative effort bringing together public-private partnerships with 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.
A primary focus of AI Racing Tech has been developing advanced simulation environments that test autonomous software stacks in a real-world setting ("Sim-to-Real"). AI Racing Tech has been a leading developer in simulation environments for Indianapolis Motor Speedway and Las Vegas Motor Speedway, developing 3D maps and race car dynamics for SVL Simulator and CARLA simulator. The team also supports integration with BeamNG.
