Racing autonomous cars through the desert is one thing. Racing a driver-less car up the steep, winding paths of the Rocky Mountains at race speeds is quite another, but that’s the goal a team of Stanford graduate students has set for itself, outfitting an Audi TTS named “Shelly” to navigate the Pikes Peak race course wit no one behind the wheel.
A class project ended in an unofficial world altitude record for Stanford students and their small, self-piloted aircraft.
The students flew their electric-powered airplanes from a dry lakebed at NASA's Dryden Flight Research Center at Edwards Air Force Base on the morning of September 11. One flight reached an estimated altitude of 7,142 feet, and set the new mark for autonomous aircraft in the 5-kilograms-or-less weight class.
Photography has made countless technological leaps since George Eastman drew up the patent for his innovative roll film technology, and even since the first digital cameras hit the market. But in large part, photogs have been tethered to the innovations and technologies made and doled out by a handful of companies. But Stanford computer science professor Marc Levoy and graduate student Andrew Adams are looking to change that by creating an open-source digital camera, dubbed "Frankencamera."
How exactly does one build an earthquake-proof building? If you answered "make sure the structure rocks completely off its foundation," you're actually in good company. A research team led by Stanford and the University of Illinois successfully tested a structural system that holds a building together through a magnitude-seven earthquake, and even pulls it back upright on its foundation when the quaking stops. The key: embracing the shaking, by limiting the damage to a few flexible, replaceable areas within the building's frame.
As soon as scientists began decoding the human genome, speculation started about an impending age of personalized genetic medicine. Health care Cassandras spun enticing yarns about a future where a patient's disease predispositions would be quickly and cheaply identified. And years after Craig Venter decoded the first human genome (his), the best we've got is a mail order service that guesses at your risk for Alzheimer's.
Now, a new gene sequencing device designed by Stanford engineer Stephen Quake may finally usher in the long predicted practice of personalized genetic medicine. By using a new refrigerator-sized machine to decode the DNA, Quake has cut both the cost and time of the process by at least a fifth.
Stanford researchers are developing a digital image sensor equipped with 12,616 lenses to generate 3-D images
By Matt RansfordPosted 03.21.2008 at 1:11 pm 7 Comments
Multiple Cameras, One Chip
The testing platform for the multi-aperture image sensor.
L.A. Cicero/Stanford University
Last year, we reported on the Adobe light-field camera, a prototype device with 19 lenses which captures 19 versions of the same image at different focal lengths. The associated software then lets the user choose which parts of the resulting photograph should be in focus, which can produce a virtually 3D image. We also briefly mentioned a project at Stanford University which is experimenting with their own multi-lensed device.