Indiana Economic Development Corporation’s Post

It was a pleasure to return to University of Pennsylvania after many years to present at the GRASP Seminar earlier this month. I discussed some of the most pressing challenges in #autonomousdriving and shared insights from our research group on questions such as: - How do we measure AV safety ? - How do we improve AV safety ? - How can we handle unexpected traffic situations ? - How to drive within safety limits ? From #F1tenth to Cavalier Autonomous Racing in the Indy Autonomous Challenge, high speed #autonomousracing presents unique #robotics challenges and offers deep insights into the limits of #perception, multi-agent prediction and #motionplanning, dynamics modeling, and control for autonomous driving. 📹 For those interested, here’s a link to the talk recording: https://lnkd.in/gmwht__Y UVA Engineering Link Lab

Safer roads are on the horizon thanks to #uOttawaEngineering PhD student Mohammad Hossein Amini's research🚗💡 Mohammed Hossein's research focuses on improving the safety and reliability of autonomous vehicles by examining the #AI technology found in autonomous driving systems. Mohammad Hossein is one of the winners of this year’s Engineering Research Celebration Day. Read how this University of Ottawa Engineering PhD student is enhancing the safety and reliability of self-driving cars ▶️ https://bit.ly/4b4Tsb7 #ElectricalAndComputerEngineering #autonomousdriving

🚗 Excited to announce the completion of the Self-Driving Cars Specialization from the University of Toronto on Coursera! 🎉 Over the past few months, I've delved deep into the intricate world of autonomous vehicles, covering four comprehensive courses: 1️⃣ Introduction to Self-Driving Cars 2️⃣ State Estimation and Localization for Self-Driving Cars 3️⃣ Visual Perception for Self-Driving Cars 4️⃣ Motion Planning for Self-Driving Cars Throughout this specialization, I've gained a wealth of knowledge and practical skills: 🔹 Understanding the hardware and software components of self-driving cars 🔹 Programming vehicle modeling and control 🔹 Analyzing safety frameworks and industry practices 🔹 Implementing state estimation techniques like Kalman Filters 🔹 Mastering visual perception techniques and convolutional neural networks 🔹 Developing motion planning solutions using Dijkstra's and A* algorithms 🔹 Constructing hierarchical motion planners for real-world scenarios The final project, where I implemented a hierarchical motion planner in the CARLA simulator, was particularly rewarding. Navigating through dynamic scenarios while ensuring robustness to environmental changes provided invaluable hands-on experience. #SelfDrivingCars #AutonomousVehicles #UniversityofToronto #Coursera #Specialization #LearningJourney 🛣️🤖

Our Cavalier Autonomous Racing car is tearing down the Brickyard front straight at Indianapolis Motor Speedway, and I wouldn’t blame you for thinking #autonomousracing is all about #AI. But there’s so much more to it. While deep neural networks play their crucial roles in our autonomy stack (more on this later); where the rubber truly meets the road (literally), we rely on physics-based models, Model Predictive Control, optimal control design, and non-linear state estimation. These aren’t just theoretical #robotics and #control concepts - they’re the backbone that makes the race car stable and effective on the track. It’s incredibly satisfying to see these techniques come together in real-world testing. The driving force? Our incredible students. 🎓 💪 Here are two recent research papers from our group on the subject of #vehicledynamics modeling for autonomous racing: 📄 Scalable Deep Kernel Gaussian Process for Vehicle Dynamics in Autonomous Racing - Published at CoRL 2023 🔗 https://lnkd.in/eubAWntt 📄 Deep Dynamics: Vehicle Dynamics Modeling With a Physics-Constrained Neural Network for Autonomous Racing - Published in RA-L, to be presented at IROS 2024 🔗 https://lnkd.in/eU7xqVTW UVA Engineering UVA Engineering Link Lab Indy Autonomous Challenge #autonomousvehicles #safeautonomy

Autonomous Vehicles 🚙 🔸️STEM students begin learning about #autonomous vehicles with the basics: Bump Sensors and Scratch Programming 🔸️The task: Hit an object, back up, and turn. 🔸️Even simple algorithms get frustrating sometimes! 🔸️Check back later this week as we add color sensing and vision! Central Virginia Community College Virginia Department of Education VEX Robotics #automatedvehicles #vexrobotics #stemeducation #funlearning

In the next Arabian Robotics and ROS Meetup, I will discuss recent developments in autonomous racing competitions, with a focus on two key papers: the survey paper "Autonomous Vehicles on the Edge: A Survey on Autonomous Vehicle Racing," and TUM's autonomous racing software architecture, "TUM Autonomous Motorsport: An Autonomous Racing Software for the Indy Autonomous Challenge," Betz et al. in 2022.

🚀 Thrilled to announce I completed the "Introduction to Self-Driving Cars" by University of Toronto on Coursera! 🏆 👋 Greetings to my amazing LinkedIn network and fellow autonomous vehicle enthusiasts! 🤖 🌟These course, led by Steven Lake Waslander and Jonathan Kelly, deepened my understanding of autonomous vehicles, honed my Python skills, and gave me hands-on experience programming a self-driving car in CARLA. 💡 🚗 Passionate about the potential of self-driving cars to revolutionize transportation. Eager to apply this knowledge and connect with fellow enthusiasts! Let's dive into the exciting world of autonomous vehicles together! 🌍🤖 #SelfDrivingCars #UniversityofToronto #Coursera #AI #MachineLearning #Python #AutonomousVehicles #LinkedIn #CareerDevelopment

Congratulations to Nitin Varyani, Jason Carpenter, Rostand A. K. Fezeu, Steven Sleder, and Wei Ye (University of Minnesota/Center for Transportation Studies, University of Minnesota) for receiving the graduate student runner up award at the 2024 CCAT Student Poster Competition, co-sponsored by the Intelligent Transportation Society of Michigan! The team's work, 'Impact of Data Compression on AI Perception Tasks for Teleoperated Autonomous Vehicles', analyzes the tradeoff of using multiple compression algorithms and techniques to minimize the size of data and enhance latency as it pertains to teleoperating #autonomousVehicles. The team is advised by Professor Zhi-Li Zhang. Explore the team's poster: https://myumi.ch/M6V9R #ccatSymposium

🎓 Graduated! I am excited to share that I have completed my Master’s degree in Robotics from TU Delft. My thesis, titled "Mode Collapse Happens: Evaluating Critical Interactions in Joint Trajectory Prediction Models", was awarded an 8.5/10 grade. My research focused on evaluating trajectory prediction models, which are essential for autonomous vehicles to plan safe and collision-free paths. I developed a novel evaluation framework to explicitly assess the interaction modes among vehicle trajectories, providing researchers with new insights and ultimately enhancing the safety of autonomous driving systems. You can read more about it here: https://lnkd.in/eyQTypST I would also like to thank my supervisors, Anna Mészáros and Zlatan Ajanović, for their guidance and support throughout my research. For now, I’m taking some time to recharge and carefully consider my next career steps. If you have exciting opportunities in motorsport, robotics, or AI, please feel free to reach out! #Graduation #TUDelft #Robotics #Thesis #AutonomousVehicles #TrajectoryPrediction #CareerOpportunities #MotorSport #Robotics #AI