Neural Network Perception for Mobile Robot Guidance Dean A. Pomerleau

ISBN: 9780792393733

Published: July 31st 1993

Hardcover

191 pages


Description

Neural Network Perception for Mobile Robot Guidance  by  Dean A. Pomerleau

Neural Network Perception for Mobile Robot Guidance by Dean A. Pomerleau
July 31st 1993 | Hardcover | PDF, EPUB, FB2, DjVu, talking book, mp3, ZIP | 191 pages | ISBN: 9780792393733 | 6.37 Mb

Dean Pomerleaus trainable road tracker, ALVINN, is arguably the worlds most famous neural net application. It currently holds the worlds record for distance traveled by an autonomous robot without interruption: 21.2 miles along a highway, inMoreDean Pomerleaus trainable road tracker, ALVINN, is arguably the worlds most famous neural net application.

It currently holds the worlds 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. Pomerleaus 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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