[comp.ai.digest] ALVINN: An Autonomous Land Vehicle in a Neural Network - Dean Pomerleau

MVILAIN@G.BBN.COM (Marc Vilain) (12/07/88)

                    BBN Science Development Program
                       AI Seminar Series Lecture

         ALVINN: AN AUTONOMOUS LAND VEHICLE IN A NEURAL NETWORK

                             Dean Pomerleau
                       Carnegie-Mellon University
                    (Dean.Pomerleau@F.GP.CS.CMU.EDU)

                                BBN Labs
                           10 Moulton Street
                    2nd floor large conference room
                     10:30 am, Tuesday December 13


In this talk I will describe my current research on autonomous navigation 
using neural networks.

ALVINN (Autonomous Land Vehicle In a Neural Network) is a 3-layer
back-propagation network designed for the navigational task of road
following.  Currently ALVINN is designed to take images from a camera
and a laser range finder as input and produce as output the direction
the vehicle should travel in order to follow the road.

Training has been conducted using simulated roads.  Recent successful
tests on the Carnegie-Mellon NAVLAB, a vehicle designed for autonomous
land vehicle research, indicate that the network can be quite effective
at road following under certain field conditions.  I will be showing a
videotape of the network controlling the vehicle and presenting current
directions and extensions I hope to make to this research.
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