Ionut Budisteanu, 19, leveraged mounted cameras in his design for a vehicle that could detect traffic lanes and curbs as well as generate real-time positioning information. The AI system processes webcam images to identify obstacles and lane markers, and uses low-resolution 3D radar to identify large items like cars and houses. His $4,000 design snagged the Gordon E. Moore Award (named in honor of Intel's co-founder) along with $75,000 in prize money.
"The most expensive thing from the Google self-driving car is the high resolution 3-D radar, so I was thinking how I could remove it," Budisteanu said in an interview with NBC News.
Millions of high school students around the world participate in the competition via local science fairs, with 1,600 regional, state, and national winners attending the week-long awards event.
Other winners included:
Source: Intel

Brian Albright is the editorial director of Digital Engineering.
Contact him at [email protected].

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