Michigan Engineering | University of Michigan Data gleaned from cameras and sensors increases predictive accuracy.
The post Teaching self-driving cars to predict pedestrian movement appeared first on Michigan Engineering News.
Teaching self-driving cars to predict pedestrian movement
-
Global CO2 Initiative announces advisory board
A diverse group of leaders in technology, research, policy, and industry assemble to drive development of a critical climate solution.
The post Global CO2 Initiative announces advisory board appeared first on Engineering Research News.
-
‘Air traffic control’ for driverless cars could speed up deployment
Human-generated responses could remotely assist autonomous vehicles decision’s during times of uncertainty.
The post ‘Air traffic control’ for driverless cars could speed up deployment appeared first on Michigan Engineering News.
-
Three professors inducted into NAE
The new inductees join 33 other University of Michigan members.
The post Three professors inducted into NAE appeared first on Michigan Engineering News.
-
How air conditioners could advance a renewable power grid
In an approach that won’t disrupt consumers, researchers will tackle two of the biggest issues in the energy industry.
The post How air conditioners could advance a renewable power grid appeared first on Michigan Engineering News.
-
Built by humans. Ruled by computers.
In the world of humans, Brian Russell is a regular blue-collar guy. Stocky with a shaved head, black-rimmed glasses and a tightly trimmed Van Dyke, he pulls down steady hours at his job installing security systems. Every night, he drives his old green Jeep home to a freshly planted subdivision of modest ranch houses outside […]
The post Built by humans. Ruled by computers. appeared first on Michigan Engineering News.
-
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
-
Johanna Mathieu receives NSF CAREER Award to help build a smarter, more sustainable grid
Mathieu will develop optimization and control methods to leverage the flexibility available from distributed energy resources.