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Making a car for blind drivers - Dennis Hong

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Using robotics, laser rangefinders, GPS and smart feedback tools, Dennis Hong is building a car for drivers who are blind. It's not a "self-driving" car, he's careful to note, but a car in which a non-sighted driver can determine speed, proximity and route -- and drive independently.

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The DARPA Urban Challenge was held on November 3, 2007, at the former George AFB in Victorville, Calif. Building on the success of the 2004 and 2005 Grand Challenges, this event required teams to build an autonomous vehicle capable of driving in traffic, performing complex maneuvers such as merging, passing, parking and negotiating intersections. This event was truly groundbreaking as the first time autonomous vehicles have interacted with both manned and unmanned vehicle traffic in an urban environment. Learn more here.The Google driverless car is a project by Google that involves developing technology for autonomous cars. The software powering Google's cars is called Google Chauffeur. Lettering on the side of each car identifies it as a "self-driving car". The project is currently being led by Google engineerSebastian Thrun, former director of the Stanford Artificial Intelligence Laboratory and co-inventor of Google Street View. Thrun's team at Stanford created the robotic vehicle Stanley which won the 2005 DARPA Grand Challenge and its US$2 million prize from the United States Department of Defense. The team developing the system consisted of 15 engineers working for Google, including Chris Urmson, Mike Montemerlo, and Anthony Levandowski who had worked on the DARPA Grand and Urban Challenges.The Problem With Self-Driving Cars: They Don't CryWith the ability to distinguish about 10 million different colors and the ability to perceive depth, the eye is one of the most complex organs in the human body. This lesson will discuss how light enters the eye and how our brain determines what image we're seeing.

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