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The Wolverines Behind the Next Generation of Autonomous Vehicles
  1. The Wolverines Behind the Next Generation of Autonomous Vehicles

    The Center for Entrepreneurship profiles a team of EECS students, who are working to develop the next generation of delivery vehicles.

  2. A World Record for Robotic Deep Freeze Walking

    Cassie Blue, the bipedal robot, takes advantage of the 2019 polar vortex to set a record-breaking walk.

  3. AI-powered Whatsapp Bot fights fake news in India

    CE undergrad Amulya Parmar designed a machine learning algorithm to curb fake news as part of the Tavtech Fellowship program.

  4. U-M researchers provide control software to ensure autonomous vehicles stay in their lane

    The team was awarded a Best New Application Paper Award by the IEEE Robotics and Automation Society for their work developing reliable control systems for Lane Keeping and Adaptive Cruise Control.

  5. Six teams of ECE researchers make the finals at AP-S/URSI 2019

    Second Prize overall went to doctoral student Xiuzhang Cai for his radar target classification research applicable to autonomous vehicles.

  6. Computer vision: Finding the best teaching frame in a video for fake video fightback

    The frame in which a human marks out the boundaries of an object makes a huge difference in how well AI software can identify that object through the rest of the video.

  7. SLAM-ming good hardware for drone navigation

    Researchers built the first visual SLAM processor on a single chip that provides highly accurate, low-power, and real-time results.

  8. More efficient machine vision technology modeled on human vision

    Prof. Robert Dick and advisee Ekdeep Singh Lubana developed a new technique that significantly improves the efficiency of machine vision applications

  9. Prof. Jason Corso on artificial intelligence

    The most exciting use of AI for me focuses around a better collective use of our available resources, says Corso.

  10. Paper award for training computer vision systems more accurately

    PhD student Jean Young Song offers an improved solution to the problem of image segmentation.