Tag: Safety
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Michigan first-responders train on drone technology and use with experts at U-M
Two-day training, in realistic scenarios at Mcity, provides certification credits and helps communities plan for drone use in emergencies.
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Cars and planes could avoid hazardous ice and freezing rain with new sensors
Drivers can lose control when they hit invisible black ice, and freezing rain can lead to plane crashes. This pair of sensors could help avert disaster.
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AI for studying turbulence: A fresh look at an unsolved physics problem
Explainable AI helps find key drivers of turbulence, offering new insights that could improve flight safety and industrial efficiency.
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AI increases accuracy of National Water Model flood predictions
AI designed to weed out errors bolsters forecasts and could reduce damage costs.
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Motion sickness technology could alleviate symptoms for passengers in today’s cars, and tomorrow’s
New technology offers hope for those who get carsick.
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Fire-monitoring satellite aims to transform wildfire detection and response
Remote-sensing technology originally designed for hurricane forecasting at the University of Michigan inspires tools to help fight wildfires from space.
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Versatile knee exo for safer lifting
Helping out the quad muscles kept study participants lifting safely despite fatigue, with an algorithm that smoothly shifts between lifting and carrying tasks.
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With AV Challenge, engineers can put their decision-making algorithms to the test
U-M’s Mcity will provide the first-of-its-kind city-scale virtual proving ground for competitors from industry and academia.
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Auto industry deadlines loom for impaired-driver detection tech, U-M offers a low-cost solution
Current technologies already in use could help prevent crashes and deaths linked to impaired driving.
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Building Flint’s trust in its drinking water
Even with lead service line replacement, the city’s water has issues that require public education.
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$7.5 million to predict and communicate flood risk
Engineers, atmospheric scientists, psychologists and anthropologists team up to develop better flood predictions and ensure decision-makers can understand them.
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World’s first realistic simulated driving environment based on ‘crash-prone’ Michigan intersection
Real-time data collected at the two-lane roundabout will be used to efficiently test the safety of autonomous vehicles.