Advanced transportation technology projects receive $600,000 in grants

Seven advanced transportation technology projects have secured a share of $600,000 in grants that intend to help developers and researchers commercialize their product.

The grant is funded in part by Michigan Translational Research and Commercialization’s advanced transportation innovation hub at the University of Michigan and the Michigan Economic Development Corp.’s Entrepreneur and Innovation initiative.

Five projects will get a $100,000 grant and two others will receive $50,000 each with the chance to receive additional funding, which are being led by faculty at UM and Michigan State University.

The following projects received funding, according to the news release:

  • High-Frequency RADAR for Automotive Autonomous Applications – UM: a sub-millimeter-wave radar system with superior detection resolutions, wide-scanning range and minimal size, weight and power consumption; $100,000
  • High-Performance Coatings for Engine Cylinder Bores – MSU: a process to deposit diamond-like coatings onto the inner surface of cylinder bores to reduce friction and resultant fuel consumption; $100,000
  • Multi-Material 3D Printing – UM: a method which integrates electrical assemblies into components through micro-additive manufacturing; $100,000
  • Variable Coupling Wireless Power Transfer System – UM: a wireless power transfer system that achieves high efficiency at a wide range of positions and distances between transmitter and receiver; $100,000
  • Your Own Planner – UM, an optimal travel planning search engine producing lower costs at minimal effort for given constraints and preferences; $100,000
  • Enhanced Object Recognition LIDARs for Robotics – UM: a system to compliment the distance ranging of LIDARs with fast and accurate object recognition, which will enable LIDAR point clouds to be efficiently translated into object semantics; $50,000
  • Sensor Fusion and Cognitive Computing Solution for Autonomous Driving – UM: A reduced computing power system that converts raw sensor inputs into…

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