Indy Autonomous Challenge

🏎️ The Indy Autonomous Challenge fuses cutting-edge AI, high-speed robotics, and human emotion. Nine university teams from around the globe pushed the boundaries of autonomous racing at the iconic Indianapolis Motor Speedway on September 6, 2024. This is more than a race – it’s a step toward revolutionizing mobility and inspiring the next generation of STEM leaders. 🌍 Thank you Sabbir Rangwala for the great coverage of our September racing event! Read more in Forbes: https://lnkd.in/gQeMBsKK #IAC #AutonomousVehicles #AI #STEM #Innovation #AutonomousMobility

🦃 Some people fill up on turkeys for Thanksgiving... but the IAC? We load up on ENGINES! 🏎️💨 This year, we're trading in the dinner table for horsepower thanks to 4 Piston Racing. 🏁 #ThanksgivingTraditions #Autonomous #Racing #Horsepower

Looking back on our sunny summer days at Goodwood Festival of Speed 2024 ☀️ It was an incredible opportunity to push the boundaries of autonomous driving and proudly set the record for the fastest autonomous vehicle ever on the Hillclimb! Big thanks to our amazing sponsor, Bridgestone Americas, as we continue leading the charge in the physical AI revolution. 🏎️🛞🏁 #IndyAutonomousChallenge #Innovation #AI #Bridgestone #FestivalOfSpeed #FastestAutonomousVehicle PoliMOVE Autonomous Racing Team The Goodwood Group

PoliMOVE Autonomous Racing Team made history in 2022 with the Indy Autonomous Challenge, securing the fastest speed record by an autonomous racecar NASA - National Aeronautics and Space Administration Kennedy Space Center Visitor Complex Shuttle Landing Facility. The innovation now continues on Italian soil, where PoliMOVE has recently achieved an unprecedented milestone with a production car, the Maserati MC20. This groundbreaking test further proves how autonomous driving technology is no longer just a concept but a tangible reality, poised to revolutionize both high-speed racing and urban mobility. #IndyAutonomousChallenge #AutonomousDriving #Innovation #Polimove #FutureOfTransport

High-speed maneuvering in autonomous racecars and advanced aircraft share a common thread: precision, real-time AI decision-making, and pushing the limits of performance. Both rely on cutting-edge tech to handle extreme forces and optimize controls at breakneck speeds. The future is fast, smart, and autonomous! 🏎️✈️ Learn more in this Forbes article about the IAC leading the physical AI revolution and being selected by Defense Advanced Research Projects Agency (DARPA) as a Test & Evaluation partner for TIAMAT⬇️ https://lnkd.in/gjU3uNPP #TechInnovation #AutonomousVehicles #Racing #Aviation #autonomous

We just open-sourced trace-driven tooling developed to analyze the Cavalier Autonomous Racing stack. This new tooling can analyze traces 20x to 50x faster, depending on the analysis type. This tooling is based on the work of ROS 2 traces which uses LTTng tracepoints to log key events in any Robot Operating System (ROS) C++ node. However, the existing suite of trace analysis tools were 5 times slower than real-time for analyzing profiles of a single node. A rewrite was clearly needed. ROS2 Tracing C++ is a GitHub repository with a subset of the common analysis techniques for analyzing ROS nodes with trace-driven techniques, but written in C++ to be far more performant. ROS 2 Tracing C++ GitHub Repository: https://lnkd.in/gGiFYGMx Using this data, I was able to quantify improvements in the Q95 latency — the worst 5% of execution times — of a critical system component by a staggering 75%. This was done with a few focused optimizations, namely: - Reserving vector space in advance based on estimated final sizes - Switching from push_back to emplace_back for more efficient memory handling - Using single precision instead of double precision floating-point values - Eliminating unnecessarily published DDS topics To pinpoint these opportunities, I used perf for performance traces and visualized them with a flame graphs. Callback durations were also tracked using ROS 2 tracing, which gave us a deeper look into the system's timing behavior. I've included a before-and-after graph to highlight the performance improvements. If you are interested in trace analysis more generally, and do not have a specific performance requirement, I would recommend checking out tracing the ROS 2 tracing repository. ROS 2 Tracing GitHub Repository: https://lnkd.in/gAcKcT-E #ROS2 #PerformanceEngineering #RealTime #OpenSource #Tracing

Madhur Behl, Team Lead of Cavalier Autonomous Racing, recently had an insightful discussion with Paul Perrone on the DRIVEN Podcast. They explored the intersection of physical AI, safety, and speed in autonomous racing, where vehicles must make split-second decisions at speeds of 184 mph. This episode offers an in-depth look at the challenges and excitement of autonomous racing, highlighting the cutting-edge robotics research, inherent risks, and the vision that is propelling physical AI revolution. Watch the episode here ⬇️🤖🏎️ https://lnkd.in/giYx-HrJ #AI #Autonomous #SelfDrivingCars #motorsports

Get ready for the ultimate autonomous showdown at CES 2025! The IAC returns to Las Vegas Motor Speedway on January 9 with 3+ autonomous racecars simultaneously on track going for an iconic win. 🏎️🏁 Read more about this high speed innovation in the Forbes article below⬇️ https://lnkd.in/gFYVM23y #CES2025 #AutonomousRacing #IAC

Our autonomous racecars are set to navigate tracks worldwide without a ghost(car) of a chance of getting lost! With cutting-edge technologies at the helm, these AI drivers are ready to deliver thrills while steering clear of any spooky surprises!👻

This past weekend, several of the IAC teams revved up their engines at Kentucky Speedway, rigorously testing their algorithms and strategies as they gear up for our highly anticipated CES 2025 races. 🏎️🤖🏁