Unimore Racing

Enjoy the onboard of our fastest lap of the race, 58.7s around Yas Marina north layout. Unfortunately our race ended too soon and we could not carry out our progression; just notice, this was lap 6 👀 And stay tuned, new technical content is coming... AbuDhabi Autonomous Racing League Università degli Studi di Modena e Reggio Emilia #A2RL #AI #AutonomousRacing #AutonomousDriving #YasMarinaCircuit #Racing #Innovation #RaceToInnovate

It was a pleasure to share data with our colleague Elena Govi to explore monocular 3D detection, an interesting topic for our future research. Stay tuned to know more about her research!

🚀 𝗝𝗢𝗜𝗡 𝗨𝗡𝗜𝗠𝗢𝗥𝗘 𝗥𝗔𝗖𝗜𝗡𝗚! Are you a 𝗨𝗻𝗶𝗺𝗼𝗿𝗲 or 𝗠𝗨𝗡𝗘𝗥 student willing to work on cutting-edge autonomous racing technology? We are looking for students with background (mainly - not only) in 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 and 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 for 𝘪𝘯𝘵𝘦𝘳𝘯𝘴𝘩𝘪𝘱𝘴, 𝘵𝘩𝘦𝘴𝘪𝘴 𝘱𝘳𝘰𝘫𝘦𝘤𝘵𝘴, or 𝘤𝘰𝘭𝘭𝘢𝘣𝘰𝘳𝘢𝘵𝘪𝘰𝘯𝘴 in the following areas: 🔹 𝗣𝗲𝗿𝗰𝗲𝗽𝘁𝗶𝗼𝗻 🔹 𝗦𝘁𝗮𝘁𝗲 𝗘𝘀𝘁𝗶𝗺𝗮𝘁𝗶𝗼𝗻 🔹 𝗦𝘆𝘀𝘁𝗲𝗺 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 🔹 𝗦𝗶𝗺𝘂𝗹𝗮𝘁𝗶𝗼𝗻 🔹 𝗖𝗼𝗻𝘁𝗿𝗼𝗹 Join us and contribute to the development of our autonomous racing software, working with classical algorithms, computer vision techniques, and machine learning models. Not exactly your field, but still interested? 𝗡𝗼 𝗽𝗿𝗼𝗯𝗹𝗲𝗺! Send us your application anyway, we’re always happy to evaluate standout profiles! 📅 Want to meet us in person?
We’ll be hosting an 𝗢𝗽𝗲𝗻 𝗗𝗮𝘆 at the beginning of the new year.
Stay tuned, more details coming soon! 📩 Apply now!
Send your updated CV or inquiries to: 𝘂𝗻𝗶𝗺𝗼𝗿𝗲𝗿𝗮𝗰𝗶𝗻𝗴@𝘂𝗻𝗶𝗺𝗼𝗿𝗲.𝗶𝘁 Università degli Studi di Modena e Reggio Emilia Motor Valley University of Emilia Romagna (MUNER)

Under the lights at Yas Marina Circuit, I watched six fully autonomous (not remotely controlled as I initially thought) race cars battle wheel-to-wheel at speeds exceeding 250 km/h. No drivers. No remote controls. Just pure AI making split-second decisions at the absolute limits of physics. 18 months ago, I discovered A2RL - the Autonomous Racing League - and since then, I’ve wanted to work with them to better understand their mission, what they are building, the actual technology and why they are working on this. Last weekend, this was all made possible as I joined the A2RL press trip for their second-ever race. When Germany’s TUM and Italy’s Unimore traded the lead through sweeping corners with less than a second between them, it was easy to forget these were algorithms, not athletes. And then you caught a glimpse of humans looking out onto the track, just waiting for the cars to make their next move, and you were swiftly reminded that the humans weren’t in control here. The Autonomous Racing League’s second season grand final wasn’t just spectacular - it was necessary. And understanding why requires rethinking what we mean by “testing” in the age of autonomous vehicles. And critically, it proved that we can develop autonomous systems without diminishing human achievement. The goal isn’t to replace drivers but to create tools that make transportation safer, more efficient, and more accessible. As autonomous vehicles slowly and carefully make their way from test tracks to city streets, initiatives like A2RL provide the platform where algorithms are forged under pressure. The technology emerging from these competitions won’t just make faster race cars - it will make the autonomous vehicles sharing our roads more reliable when they encounter their own edge cases at 50 kph on a rainy Tuesday morning. That’s why we’re racing robots. Not because it’s spectacular (though it is), but because competition accelerates innovation in ways nothing else can match. The spectacle is just a bonus. Although one final question I did have was whether this would be an interesting spectacle to watch, and it was. Full article link in the comments.

🔸Prestazione record del team Unimore Racing all’Abu Dhabi Autonomous Racing League 👉 La squadra di studenti, con la propria macchina a guida autonoma, ha conquistato il prestigioso premio "Fastest Lap", per il miglior tempo assoluto sul giro, nell’edizione 2025 dell’A2RL, una delle competizioni più prestigiose al mondo dedicate alla guida autonoma, ospitata sul celebre circuito di Formula 1 di Yas Marina, davanti a oltre 10mila spettatori. 📌Il tempo registrato dalla vettura targata Unimore è stato di poco superiore (meno di un secondo) a quello ottenuto nello stesso giorno dal pilota professionista di Formula 1 Daniil Kvyat, fermando il cronometro a 58.7 secondi. Un risultato straordinario che porta la tecnologia sviluppata dall’Ateneo di Modena e Reggio Emilia a livelli paragonabili alle performance umane nel motorsport professionistico. Per leggere l'articolo sul nostro sito: https://lnkd.in/d3wGU8nQ

Autonomous racing is way more than just taking the pilot out of the equation. Sure, you might picture crazy speeds, tight corners, and bold overtakes. But let’s slow down for a second and look at what really makes all of this come alive: the people. It’s not just algorithms and AI. Behind every line of code and every sensor, there are real stories, different backgrounds, and one shared passion. A passion for trying new things, for pushing what’s possible in autonomy and in motorsport. There are frustrating days too. A sensor acting up, a bug that refuses to be fixed, a corner on the track that just doesn’t feel right, a crash 👀 But then there are the good days: the laughs, the high-fives, the moments where everything finally clicks. Those wins are what make it all worth it, no matter the challenges or the skepticism. We want you to know who’s really inside the car. It’s us. Ayoub Raji Gabriele Chiesura Matteo Villa Matteo Pini Davide Malvezzi Michele Pestarino Fausto Lupo Nicolò Vella Alessandro Toschi Francesco Iacovacci Giovanni Scapicchi Giovanni Lambertini Nicola Musiu Simone Bondi Martina Rossi Marko Bertogna #UnimoreRacing #AutonomousRacing #Racing #Innovation #Team #TeamWork #People #AI

Watch the view and the spontaneous emotions of the public on the main grandstands during our overtake!

Despite the frustration, and the sense that it definitely could have been better managed, we are proud of the aggressive performance, of the close fight with TUM, and the autonomous system’s ability to push to and beyond human level pace. After the green light, our race began with strong pace, overtaking TUM early and maintaining the lead despite pressure. On lap 12, while lapping for the second time the last car, the backmarker slowed unpredictably and failed to follow the instructions to hold the outside line, forcing an adjustment that allowed our competitors to draw alongside and to gain the right of way by the current rules. With TUM on the inside and the slow car ahead our software tried to pass on the outside, but a sudden move by car #8 caused a collision that unfortunately ended our race. Our car could not have done much to avoid the crash. After qualifying first but losing to TUM in the sprint race, we promised then that in the Grand Finale we would have demonstrated not only to be the fastest but also more fierce during the overtakes, and we did. Shout out to Technical University of Munich for the win, as well as to all the other teams that took part in this event. Together we showcased what we are capable of, opening the path to a bright future ahead. We can’t wait to be back on track next year, stronger and hopefully luckier. 💪🏻 AbuDhabi Autonomous Racing League PoliMOVE Autonomous Racing Team Kinetiz Constructor University Code19 RacingRapson FR4IAV - French Autonomous Racing Technology Innovation Institute Fly Eagle TGMGP FTM Institute of Automotive Technology TUM Università degli Studi di Modena e Reggio Emilia MegaRide - applied vehicle research Hipert HiPeRT-Lab Claytex #AutonomousRacing #AutonomousDriving #YasMarinaCircuit #A2RL #AutonomousAD #ADAW #ADAutonomousWeek #RaceToInnovate #AIOnTrack #AI #Innovation

Temperature is definitely rising 🔥 See you on track! AbuDhabi Autonomous Racing League Università degli Studi di Modena e Reggio Emilia Megaride Group Claytex Hipert HiPeRT-Lab #AutonomousRacing #AutonomousDriving #YasMarinaCircuit #A2RL #AutonomousAD #ADAW #ADAutonomousWeek #RaceToInnovate #AIOnTrack #AI #Innovation