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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Neural Network Perception for Mobile Robot Guidance

Neural Network Perception for Mobile Robot Guidance

Pomerleau, Dean A.

Hardcover

Series: The Springer International Engineering and Computer Science, Book 239

Technology & EngineeringProgramming

ISBN10: 0792393732
ISBN13: 9780792393733
Publisher: Springer Nature
Published: Jul 31 1993
Pages: 191
Weight: 1.05
Height: 0.50 Width: 6.14 Depth: 9.21
Language: English
Dean Pomerleau's trainable road tracker, ALVINN, is arguably the world's most famous neural net application. It currently holds the world's record for distance traveled by an autonomous robot without interruption: 21.2 miles along a highway, in traffic, at speedsofup to 55 miles per hour. Pomerleau's work has received worldwide attention, including articles in Business Week (March 2, 1992), Discover (July, 1992), and German and Japanese science magazines. It has been featured in two PBS series, The Machine That Changed the World and By the Year 2000, and appeared in news segments on CNN, the Canadian news and entertainment program Live It Up, and the Danish science program Chaos. What makes ALVINN especially appealing is that it does not merely drive - it learns to drive, by watching a human driver for roughly five minutes. The training inputstothe neural networkare a video imageoftheroad ahead and thecurrentposition of the steering wheel. ALVINN has learned to drive on single lane, multi-lane, and unpaved roads. It rapidly adapts to other sensors: it learned to drive at night using laser reflectance imaging, and by using a laser rangefinder it learned to swerve to avoid obstacles and maintain a fixed distance from a row of parked cars. It has even learned to drive backwards.

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