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This collection includes research outputs from Stanford-associated researchers on the wide variety of topics and fields under investigation at Stanford University, including statistics, engineering, biology, chemistry, social sciences, humanities, medicine, physics, geosciences, and the environment. This content is made discoverable and accessible via deposit into the Stanford Digital Repository (SDR). You can find out more about the SDR service and federal funding agency requirements for data sharing and preservation on the About page.

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"I think every scientist should consider using Stanford Digital Repository. It provides an easy-to-use platform for efficient communication of research findings which is essential to reproducibility and trust in science publications."

– Hatef Monajemi, Graduate Student, Civil and Environmental Engineering


SDR Deposit of the Week: Sensors, Video, and a 1965 Ferrari

It should come as little surprise that Stanford is playing a large role in the rapid progress towards fully autonomous vehicles. Research data and video recorded by John Kegelman, Lene Harbott, Chris Gerdes and others in the Dynamic Design Lab are now deposited and streamable from the SDR. These data are useful in a variety of ways, such as to inform self-driving cars that can respond to changing conditions like an expert driver handling a race car on a track.It was only 11 short years ago that Stanford's Stanley won the 2005 DARPA Grand Challenge by driving 132 miles through the California and Nevada desert. What seemed amazing at the time has rapidly become a feature available to everyday drivers. Though not fully autonomous (yet), Tesla's Autopilot mode is available today, a company called Otto is delivering beer with trucks that drive themselves and Ford is promising fully autonomous ride-sharing vehicles in 5 years.

There is a lot of hardware needed to allow cars to operate without a human driver, such as high powered CPUs, cameras, radars, GPS, and other sensors and detectors, but that's only one part of the equation. You also need sophisticated software to coordinate the output from all of these sensors, and process them in real-time to decide on the inputs to the vehicle sub-systems, such as the steering, brakes and power output. And you need to do this many times a second, accounting for changes in road conditions, weather, other drivers, all while reading road signs, obeying speed limits and other laws and keeping the car within its normal operating conditions.

Read the rest of this story on the Data Stories page.