Michigan Engineering | University of Michigan The Center for Entrepreneurship profiles a team of EECS students, who are working to develop the next generation of delivery vehicles.
The Wolverines Behind the Next Generation of Autonomous Vehicles
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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.
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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.
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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.
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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.
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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.
The post Computer vision: Finding the best teaching frame in a video for fake video fightback appeared first on Michigan Engineering News.
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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.
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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
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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.
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Paper award for training computer vision systems more accurately
PhD student Jean Young Song offers an improved solution to the problem of image segmentation.