First position at the Indy Autonomous Challenge multi car exhibition at the Las Vegas Motor Speedway, passing Cavalier Autonomous Racing at the finish line! ??????? Despite being run at a low speed, this demonstration is unique in history, considering that 4 teams worked together in the last week, aiming to produce as many interactions and overtakes as possible balancing risks and learnings. This is a further step towards full-speed autonomous multi-car racing. Great job to Korea Advanced Institute of Science and Technology team and PoliMOVE Autonomous Racing Team. Stay tuned for more details and videos about what happened during the exhibition race and the strategy used. As always, thanks to our technical collaborators and sponsors! Università degli Studi di Modena e Reggio Emilia HiPeRT-Lab Hipert Hexagon Manufacturing Intelligence Claytex MegaRide - applied vehicle research
关于我们
The official autonomous racing team of the University of Modena and Reggio Emilia
- 所属行业
- 研究服务
- 规模
- 11-50 人
- 总部
- Modena
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- 个体经营
地点
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主要
IT,Modena
Unimore Racing员工
动态
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For the first time, four autonomous vehicles operated simultaneously on track and at close distance to each other, marking a significant milestone in autonomous racing. This is what happened at the last Indy Autonomous Challenge event at the CES25. Despite the limited top speed, it has been a unique experience to test our software stack in new scenarios during the testing phase before the official multi-car exhibition race. In this video, we included onboard footage with the outcome of our perception pipeline to demonstrate the ability to detect and track multiple running cars in real time. In particular, in the view on the right the red boxes represent the cars that we are tracking, as a result of the fusion of different detections generated by each sensor. Only cars detected reliably with more sensors are tracked in order to avoid false positives. Producing accurate tracking helps also the planning modules in always keeping the planned longitudinal safety distance depicted with the horizontal red line over our vehicle. Università degli Studi di Modena e Reggio Emilia Hipert HiPeRT-Lab MegaRide - applied vehicle research Claytex #autonomousdriving #autonomouscars #IAC #autonomousracing #CES2025 #autonomous #innovation #AI
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?? February, 18th - 10:00 am ?? Unimore Datacenter ??? Via E.Gorrieri, 51 (MO) ? WE WANT YOU! Join us for our open day! We will hold a presentation to introduce you the team and you will have the chance to have a chat with us at our office. We are looking for students from Università degli Studi di Modena e Reggio Emilia to join us for an internship, thesis project, or collaboration. You’ll have the opportunity to enhance our autonomous racing software using various approaches, including classical algorithms, computer vision, and machine learning. Can't make it in person? No worries - the presentation will be streamed online so you won’t miss out. ?? Send your updated CV or request to: [email protected] ?? Deadline: FEBRUARY 28th #unimoreracing #unimore #modena #autonomousracing #autonomousdriving
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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
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Check out our latest paper on the software stack we used in the first two seasons (from 2021 to 2023) of the Indy Autonomous Challenge!
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
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We want to take a moment to express our heartfelt gratitude to our amazing sponsors! ?? Your support empowers us to innovate, achieve our goals, and keep pushing boundaries. Thank you to Hipert and its researchers for the essential support since the beginning. Your help in developing the low-level framework used as the backbone of our technologies has been key to improving the vehicle’s perception, mapping, localization, and simulation pipeline. Many thanks to Claytex for supporting us since the beginning of our journey in autonomous racing. By providing their VeSyMA - Motorsports libraries, they allowed us to create a high-fidelity model of the vehicles we use in our competitions, and by sharing their expertise, we have been able to run this models in real-time on our simulator. The team thanks Hexagon Manufacturing Intelligence for their essential contribution in providing RTK services for our GNSS units, enabling centimeter-level positioning accuracy, which is crucial at high speeds. Also, thank you to MegaRide - applied vehicle research for your invaluable contribution in providing your tire-model expertise to us. This was crucial at the beginning of our journey and is now an important validation of our vehicle-model-based approach. Thank you all for being essential parts of our journey! #autonomous #autonomousracing #racing #AI #autonomousvehicles
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"The?Indy Autonomous Challenge?(IAC) made history during?CES?2025 with what it says is the world’s first successful multi-car autonomous race. Once again held at the Las Vegas Motor Speedway, this year’s event marked a major milestone with four AV-24 fully autonomous racecars piloted by AI drivers from?top university teams?competing in a 20-lap exhibition race. The race ended in a thrilling photo finish, with Unimore Racing from the?Università degli Studi di Modena e Reggio Emilia crossing the finish line less than 0.3 s ahead of the Cavalier Autonomous Racing team from the?University of Virginia." Read the full article at Futurride: https://lnkd.in/dkJd_h9s
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A strongly connected mission in Italian research for #AutonomousRacing! Unimore Racing, Hipert ???? ?? #MegaRide has been starring with activities already performed at the highest level in other areas of motorsport: optimizing vehicle dynamic #performance and the complex interaction between #tires, #car and #road surface. Aleksandr Sakhnevych, CTO of MegaRide: “Many decision-makers and #automotive key- players wonder how autonomous vehicles will affect future mobility. There could not be a better occasion to get a view on it, than something highly demanding as autonomous #motorsport. We are proud to continue supporting our #partners in the development of reliable and potentially affordable technologies which could provide huge savings and benefits, to win races today, to move people tomorrow.”
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In corsa c'erano gli ingegneri delle migliori università del mondo, da Berkeley al CalTech, dal Mit al Kaist coreano e tanti altri istituti carichi di talenti e finanziamenti. Ma a vincere la gara tra auto a guida completamente autonoma, nei giorni scorsi sul circuito di Las Vegas, è stato il team automobilistico 'Unimore Racing', coordinato da Marko Bertogna, professore di Informatica all'Università degli Studi di Modena e Reggio Emilia. In pratica siamo stati i migliori a programmare gli algoritmi per far sfrecciare una Dallara, con sorpassi a 300 all'ora, gestione degli imprevisti e tattiche da Formula 1, senza nessuno a bordo. Soddisfazione per il nostro Paese? Certo (tra l'altro in ottimo piazzamento anche la squadra del Politecnico di Milano). Ma lo sconforto arriva dal fatto che, malgrado il successo in pista, nessuno ha ancora bussato all'ateneo emiliano per offrirsi come sponsor alle prossime competizioni (se qualcuno è disponibile, non esitate). Per la rubrica Sportello Italia su Radio1 Rai ho sentito il professor Bertogna che spiega le applicazioni della sua ricerca in ambiti come l'agricoltura, la logistica o la sicurezza dei veicoli in generale. Ma ha parlato anche di previsioni sulle vetture a guida autonoma nelle nostre città e degli altri progetti in cantiere. Trovate l'intervista nella puntata odierna di Sportello Italia su RaiPlaysound. #car #selfdrivecar #auto #automotive #guidaautoma #università #informatica #ai
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A historic milestone for our team at the Indy Autonomous Challenge! At the Las Vegas Motor Speedway, during CES 2025, the first-ever fully autonomous multi-vehicle race took place. Four cars were on the track, breathtaking overtakes were made, and a victory was decided by mere tenths of a second: the Unimore Racing team, with HIPERT, claimed first place ahead of Cavalier Autonomous Racing. ?? An unprecedented event For the first time in motorsport history, four autonomous race cars completed an entire race featuring multiple overtakes and zero incidents. This event demonstrated that autonomous systems can handle extreme speeds and complex multi-agent interactions in real-time. It wasn’t just a race; it was a proving ground for the future.? Our team focused on maximizing data collection, testing strategies like the Push to Pass system, and ensuring every maneuver prioritized safety. The result? Clean and safe overtakes and a showcase of what AI-driven systems are capable of. Thanks to the testing conducted in the days leading up to the event, we validated new algorithms, refined our autonomous driving software, and gained invaluable experience for the future of autonomous racing. A big round of applause to PoliMOVE Autonomous Racing Team ?and Korea Advanced Institute of Science and Technology for their exceptional work, and congratulations to Cavalier Autonomous Racing for making the final thrilling right up to the last second. Together, we showcased to the world the potential of high-speed autonomy. ?? Thank you to our collaborators: Università degli Studi di Modena e Reggio Emilia HiPeRT-Lab Claytex MegaRide - applied vehicle research Hexagon Manufacturing Intelligence This event represents another step forward for the future of autonomous racing. Stay tuned for more updates!?