Unimore Racing

What can you expect in Season 2? The unexpected. Strap in, because this season we're going all out. #A2RL #AutonomousRacing #Season2

In #motorsport, both humans and autonomous driving algorithms push the boundaries: achieving more performance in less training time! Technische Universität Graz, UC San Diego, Università degli Studi di Modena e Reggio Emilia, and Know Center have recently collaborated to push the boundaries of autonomous racing. Lots of fun collaborating with Nicklas Hansen, Ayoub Raji, Nicola Musiu, Marko Bertogna, Eduardo Veas, and Xiaolong Wang on our autonomous driving project! 🚗🤝 This work aims to push the limits of #automation in motorsports, enabling the simulation of various cars and tracks with a driver model capable of handling the car like a professional driver. We released a cutting-edge racing simulation platform based on the racing simulator #AssettoCorsa KUNOS Simulazioni, featuring reinforcement learning, imitation learning, and MPC and a comprehensive dataset from human drivers to train our models and compare these approaches against human performance. 📌 We look forward to seeing what the learning, control, AI, and autonomous racing communities will use our work for! 📌 Find out more and access our publicly released code, environment, benchmarks, datasets: https://lnkd.in/gyxp4fiP 📌 Paper: https://lnkd.in/gEXPZMXG #racing #AI #racingdriver #automotivefuture #AutonomousDriving #ReinforcementLearning #AssettoCorsa #LearningFromDemonstration #MPCControl

Our paper, "Guess the Drift with LOP-UKF: LiDAR Odometry and Pacejka Model for Real-Time Racecar Sideslip Estimation," has been accepted at the 35th IEEE Intelligent Vehicles Symposium (IEEE IV 2024)! This is a significant step in Unimore Racing's research into enhancing safety and performance for autonomous racing through innovative techniques. 📅 With great excitement, I announce that I'll present our findings in the poster session on Monday, June 3, 2024, from 10:50 AM to 12:40 PM in the Yeongsil + Eorimok Rooms. If you are at the symposium, come by to discuss our study and gain insights into our new approach! 🔍 Our study introduces the LOP-UKF method, which integrates LiDAR Odometry with the Pacejka tire model predictions, employing an Unscented Kalman Filter for robust estimation of the sideslip angle. Our tests with the Dallara AV-21 during the Indy Autonomous Challenge have shown promising results in real-world racing scenarios, in different grip conditions of both road courses and oval speedways. 🔗 Preprint is now available for those interested in the technical details and potential applications. Read the full paper here: https://lnkd.in/dwEdwDx4 A huge thank you to all the co-authors for their contribution Nicola Musiu Francesco Gatti Ayoub Raji Francesco Amerotti Micaela Verucchi Marko Bertogna. #IEEEIV2024 #IndyAutonomousChallenge #research #innovation #racing #motorsport #selfdrvingcars #autonomousdriving #autonomousvehicles

🏎 🤖 The Indy Autonomous Challenge is making a return to the Indianapolis Motor Speedway on September 6, 2024! 👩🎓 This historic event will feature a head-to-head race of the world's fastest autonomous racecars, driven by AI software developed by 10 teams from 18 top universities across the globe. 🏆 In October 2021, IAC organized the world's first head-to-head autonomous racing competition at IMS. Since then, the IAC and its university teams have set multiple records for high-speed ground-based autonomy, including 9000 miles of autonomous racing! 💡 The upcoming race, held in partnership with the Indiana Economic Development Corporation, will feature the best minds in autonomous vehicle technology. It's not just a race, but a showcase of how AI drivers can safely navigate high speeds, revolutionizing future mobility and supply chain logistics. 🌎 The race day will include interactive events, including an Innovation Paddock, a Future Mobility Summit, and a STEM Zone to inspire the next generation of leaders and innovators. 📍 Learn more: https://lnkd.in/gX6wMjnP 🎟 Get tickets: https://lnkd.in/gEEum66E

Oops.. we did it again: lost the glory in the last lap! Last week, our team Unimore Racing participated to the AbuDhabi Autonomous Racing League, an incredible showdown of technology culminated in Saturday's 2.25M$ autonomous race. The car was simply amazing. Kudos to ASPIRE that managed assembling it in record times. It was delivered to the teams just a few weeks before the racing event. Since then, our car always got the fastest lap, until the trials, where we got the 2nd starting position in the Grand Finale, between our friends of Milan and Munich. I wouldn't recommend being in a sandwich between PoliMOVE Autonomous Racing Team and FTM Institute of Automotive Technology TUM, incredible teams that are never afraid of hitting the full throttle. We had to attack Milan, while defending from Munich. Try to do it without sending any command to your car, having to pre-program everything beforehand. Easy, ain't it? Well, it turns out PoliMOVE spins, and our car manages to safely overtake them. Detection and emergency maneuvering around the spinning car ran amazingly. We are leading over our german friends with a one minute gap. I start wondering how can we lose it this time. We ask permission to lap Constructor University stopped in the main straight. Permission denied by race control. Cars sent back to boxes, neutralizing all time gaps. We start smelling bad luck. Race restarts with us in leading over TUM, that has additional hp thanks to the push-to-pass option allowed to followers. We manage keeping the lead, setting the best time in the first sector. Car is stable, ready to give some good show to the public with TUM, when suddenly our car decelerates and stops. TUM keeps its racing line and gets the victory in the same lap. History repeating like in the first historic Indy Autonomous Challenge race in Indianapolis, when we also stopped in the last lap after setting the best time in the final. Back then, it was a stupid 1M$ bug in the number of laps. This time, a HW problem beyond our control: we suddenly lost all odometry sources (IMU, GPS, GPU, wheels, Kistler). As we did not yet find a solution to drive a blind car, we decelerate until a safe stop. Victory fading away. I am incredibly proud of the team. Fastest lap, sectors and highest speed in the final. You guys are amazing, and it was heartbreaking seeing your sadness after the race. Victory may or may not come, but what you achieved with limited resources will stay with you forever, witnessing your value and your passion. And I am honestly really happy for our friends at TUM. Kudos to Markus Lienkamp Johannes Betz and their amazing team. They deserve the glory. This is the beauty of this circus: hard but fair competition. A bit of a pity seeing EU teams struggling to find sponsors and funds, while they keep leading this incredibly difficult race. This tells you something about EU. Hope we will wake up and the trend will change. https://lnkd.in/dhDYud8U

So proud of you guys!!! Unimore Racing Università degli Studi di Modena e Reggio Emilia Alessandro Toschi Ayoub Raji Davide Malvezzi Francesco Prignoli Francesko Hyso Alessandro Canossa Michele Pestarino Nicola Musiu Maria Vittoria Cavicchioli Federico Sacco Pietro Musso Eugenio Mascaro Niccolò Enrico Marcati Silvia Severi Francesco Amerotti Giovanni Lambertini Andrea Bernardi Francesco Gatti Micaela Verucchi Massimiliano Bosi Paolo Falcone Luca Bartoli Fabio Bagni Francesco Moretti Girolamo Oddo Valentina La Gamba Matteo Pini

We're still incredibly excited to have been part of such an ambitious project like AbuDhabi Autonomous Racing League A2RL that ended a few days ago.🏎🎇 It was an honour for Meccanica 42 being the key which allowed the vehicles to challenge each other on the track in complete autonomy. Shout-out to ASPIRE and Technology Innovation Institute for making this event possible and for having achieved these great results. A big applause for the winning team, Technical University of Munich, and congratulations to all the other teams that participated, you showed extraordinary commitment and competence.🏆 PoliMOVE Autonomous Racing Team Unimore Racing Code19 Racing Constructor University @kinetiz @FlyEagle HUMDA Lab Nonprofit Ltd. The event was simply remarkable, in full style Emirates! The combination of advanced technology and entertainment made this experience unforgettable. We also want to thank all the people we had the pleasure to meet during the week before the race. The inspiring conversations and the shared passion for innovation were a real enrichment for us. The race is over, but this is only the beginning! 🏁 We will continue to work hard to help shape the future of the automotive industry. #AutonomousRacingLeague #ASPIREUAE #Meccanica42 #FutureShaper