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“Supply chain, particularly from a Michigan State perspective, means the end to end movement of product from the raw material from a mine or the ocean, through all the production processes, and to the consumer,” Professor David Closs tells Michigan State University President Lou Anna K. Simon and Spartans Athletic Director Mark Hollis on MSU Today. “So we view it all as a very end to end process and try to manage that to meet the needs of the consumer and at the same time keeping cost and waste down.”
This MSU ethos “is what companies tell us differentiates MSU students. They understand end to end and they can communicate well to the executives.”
When it comes to the development of autonomous, or self-driving, vehicles, there’s a lot more to it than meets the eye. It takes a warehouse full of technology – cameras, radars and other sensors, security and recognition technology, not to mention a trunkful of computers – to make it happen.
At Michigan State University, researchers are involved in the work that will someday make self-driving vehicles not just a reality, but commonplace.
Working as part of a project known as CANVAS – Connected and Autonomous Networked Vehicles for Active Safety – the scientists are focusing much of their energy on key areas, including recognition and tracking objects such as pedestrians or other vehicles; fusion of data captured by radars and cameras; localization, mapping and advanced artificial intelligence algorithms that allow an autonomous vehicle to maneuver in its environment; and computer software to control the vehicle.
“Much of our work focuses on technology that integrates the vehicle with its environment,” Hayder Radha, a professor of electrical and computer engineering and director of CANVAS, tells Simon and Hollis. “In particular, MSU is a recognized leader in computer vision, radars and antenna design, high-assurance computing and related technologies, all areas that are at the core of self-driving vehicles.”