Indy Autonomous Challenge

💥 History was made at CES 2025 as the Indy Autonomous Challenge achieved a world first: the successful completion of a multi-car autonomous race! 🏁 Four IAC AV-24 racecars, each driven by AI pilots from top global universities, competed in a thrilling 20-lap race exhibition at Las Vegas Motor Speedway. This groundbreaking event marks a major leap forward in physical AI and autonomous racing! 🏎️🌎 ⬇️Read more about the incredible race ⬇️ https://lnkd.in/gnfcwXnJ #AIracing #Innovation #AutonomousVehicles #CES2025 #AI

🏎️💡 The physical AI revolution is here! During CES 2025, the Indy Autonomous Challenge brought together government and industry leaders on the CTA Center Stage to explore how we can speed up AI's impact on the physical world. 🤖🌎 From smarter cars to safer infrastructure, collaboration is key! How can we work together to push AI beyond the digital realm and transform the way we live and move? 🔧💼 Watch the full conference session here ⬇️ https://lnkd.in/gRyE6NUY #AI #AutonomousTech #FutureOfAI #CES2025 #PhysicalAI

🚗🤖 AI is learning to drive, but what does it take to safely and securely build, test, and deploy physical AI solutions for mobility? At CES 2025, the IAC hosted a conference session on the CES Mobility Stage with leaders from industry and academia tackling this very challenge! From robust testing to seamless integration, the future of transportation relies on smart, secure AI.💡 Watch the full discussion here ⬇️ https://lnkd.in/gJiujkkv #AI #AutonomousVehicles #MobilityTech #CES2025 #FutureOfTransport #PhysicalAI

🚥 How do we start our fully autonomous racecars? 🚥 🎥 Watch this fun video captured by one of the IAC’s teams, Cavalier Autonomous Racing, as they walk through the cutting-edge startup sequence developed by the Indy Autonomous Challenge for the IAC AV-24 racecars! 🏎️ 💨 #AI #autonomous #racing UVA Engagement University of Virginia UVA Engagement UVA Engineering

Ever wonder what happens when AI takes the wheel? 🤖 At CES 2025, four AI-driven IAC AV-24 racecars, piloted by top university teams, went head-to-head in a nail-biting 20-lap race. Unimore Racing won by less than three-tenths of a second, with five overtakes and no crashes, showing the future of physical AI is here. 🏎️💨 💥Read more about the event in this Autobody News article ⬇️ https://lnkd.in/gt8aYiYH #CES2025 #AutonomousRacing #AI #PhysicalAI

Indy Autonomous Challenge holds 'world’s first' multi-car autonomous race This event held at the Las Vegas Motor Speedway during CES 2025 marked a milestone in physical AI and autonomous racing, with four AV-24 racecars piloted by AI drivers from university teams competing in a race, with Unimore Racing crossing the finish line just ahead of Cavalier Autonomous Racing. Indy Autonomous Challenge CES Università degli Studi di Modena e Reggio Emilia University of Virginia Auburn University Indiana University Indianapolis Caltech Purdue University University of California, Berkeley University of Hawai‘i System UC San Diego Carnegie Mellon University Politecnico di Milano Michigan State University The University of Alabama Korea Advanced Institute of Science and Technology Bridgestone Americas Luminar Technologies Cisco Continental dSPACE Marelli NI (National Instruments) VectorNav Technologies Defense Advanced Research Projects Agency (DARPA) droneport.eu Aidoptation SFPIM Ethias #AuburnUniversity #autonomousracecars #Bridgestone #CaliforniaInstituteofTechnology #CarnegieMellonUniversity #CES2025 #Cisco #Continental #DefenseAdvancedResearchProjectsAgency #dSPACE #Ethias #Futurride #IndianaUniversity #IndyAutonomousChallenge #KoreaAdvancedInstituteofScienceandTechnology #Luminar #Marelli #MichiganStateUniversity #NewEagle #NI #PolitecnicodiMilano #PurdueUniversity #sustainablemobility #UCBerkeley #UCSanDiego #UniversityofAlabama #UniversityofHawaii #UniversityofModenaandReggioEmilia #UniversityofVirginia #VectorNav https://lnkd.in/eYF2TdvD

🏆Three out of 10 are companies based in #Indiana. The Hoosier state truly is a global hub for #SportsTech! 👀We see you, Davinci Wearables, Fitasy and Indy Autonomous Challenge! #CES2025

Congratulations to the Purdue AI Racing team, who competed in the Indy Autonomous Challenge at the Las Vegas Motor Speedway this month as part of the 2025 Consumer Electronics Show! "For the first time, Purdue AI Racing competed in Tier 2, which is a two-car passing competition. During the 30-minute race, Purdue AI Racing overtook the car of University of California, Berkeley’s AI Racing Tech Team at 120 mph and broke a personal record of 159 mph." Read more about the event from Purdue Today: https://ow.ly/knQC50UL51F #PurdueUniversity #Engineering #Autonomy

We’re an autonomous racing team – why is someone driving? For our next competition, we are taking on a new challenge: road courses. With this new challenge, braking and control in the chicanes is paramount to our success. This represents a new curveball for our motion-planning and controls teams. On the screen is dSPACE’s Aurelion, a vehicle software suite we use to simulate races before ever stepping foot on track. So, combing back from our CES exhibition race, we wanted a way to manually control our car with a wheel on track to give our members and intuition with what it feels like to drive the car. This allows us to, for example, build an intuition for our brake points or test out taking corners at different speeds. Building an intuition for racing and the car’s limits is much easier to do when controlling the car. And of course, we can’t resist a little competition. Running hot laps in the simulator has turned into a friendly rivalry—and an awesome way to push the car to its limits while having fun. Indy Autonomous Challenge UVA Engineering

I am glad to share that our paper, er.autopilot 1.1, has been published in the IEEE Transactions on Field Robotics and will also be presented in May at IEEE RAS ICRA 2025 Conference in Atlanta! In "er.autopilot 1.1: A Software Stack for Autonomous Racing on Oval and Road Course Tracks", we present an updated version of our initial stack used by our team Unimore Racing for the first two seasons of the Indy Autonomous Challenge. 🏎️ It includes some interesting features such as: - LiDAR-based localization - Sideslip angle estimation exploiting the Pacejka tire model and the LiDAR Odometry - Refined vehicle model for the Model Predictive Controller - Radar-based local control - Analysis of the performance at the tire limits at Texas Motor Speedway and insights from a severe crash in this scenario - Updates made to make our stack work on road course racetracks, in particular at the F1 racetrack Autodromo Nazionale Monza. 🔗 Download the paper at: https://lnkd.in/d8Zuy2aX If you don't have access to the platform to download it contact me and I'll be happy to share it with you in private. 🙏 Thanks to all the coauthors: Danilo Caporale, Francesco Gatti, Alessandro Toschi, Nicola Musiu, Micaela Verucchi, Francesco Prignoli, Davide Malatesta, André Fialho Jesus, Andrea Finazzi, Francesco Amerotti, Fabio Bagni, Eugenio Mascaro, Pietro Musso, Marko Bertogna as well as Alexander Liniger and Andrea Giove for their extremely important contribution to the previous version of the software stack. #autonomous #racing #icra25