Kanade This project is building and deploying an intelligent imaging sensor for road following. The sensor generates the heading information required to steer a robotic vehicle by watching the road. On-chip processing is performed by a neural network trained to drive autonomously on public highways. The circuitry which performs the neural computations is integrated with a photosensor array in order to directly sense road-image information. The photosensor array includes analog signal processing in each cell and binary optics for better photon statistics, decreased transducer size, and less interference.

Agency
National Science Foundation (NSF)
Institute
Division of Experimental and Integrative Activities (EIA)
Application #
9305494
Program Officer
Michael Foster
Project Start
Project End
Budget Start
1993-06-01
Budget End
1996-11-30
Support Year
Fiscal Year
1993
Total Cost
$938,125
Indirect Cost
Name
Carnegie-Mellon University
Department
Type
DUNS #
City
Pittsburgh
State
PA
Country
United States
Zip Code
15213