The scientist, the unicorn and the $700 billion race to create self-driving semi-trucks:
“Our 1,000-meter perception—I think this could be the biggest strength of the company so far,” Hou says.
Along with his vision system, Hou has created software designed exclusively to drive big trucks, not cars, by using deep learning—a cutting-edge field that trains machines to recognize objects and figure out their own responses. He’s convinced it will set TuSimple apart from even Waymo. A native of Beijing, Hou earned degrees in computer science and engineering from Shanghai Jiao Tong University in 2008, then made his way to Pasadena, California, for doctoral studies at the California Institute of Technology, deciding that Caltech—home to NASA’s Jet Propulsion Laboratory—was a better fit than grad schools in the Bay Area.
Bernd Heid, a senior partner at McKinsey & Company, agrees trucking faces a smoother ride. “Highway is a very easy application, or relatively easy, because it’s controlled. It can be easily mapped,” he says. “You do not have kids playing around.”
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