ELVIS: Eigenvectors for Land Vehicle Image System

John Hancock and Chuck Thorpe
tech. report CMU-RI-TR-94-43, Robotics Institute, Carnegie Mellon University, December, 1994

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ELVIS (Eigenvectors for Land Vehicle Image System) is a road-following system designed to drive the CMU Navlabs. It is based on ALVINN, the neural network road-following system built by Dean Pomerleau at CMU. ALVINN provided the motivation for creating ELVIS: although ALVINN is successful, it is not entirely clear why the system works. ELVIS is an attempt to more fully understand ALVINN and to determine whether it is possible to design a system that can rival ALVINN using the same input and output, but without using a neural network.

Like ALVINN, ELVIS observes the road through a video camera and observes human steering response through encoders mounted on the steering column. After a few minutes of observing the human trainer, ELVIS can take control. ELVIS learns the eigenvectors of the image and steering training set via principal component analysis. These eigenvectors roughly correspond to the primary features of the image set and their correlations to steering. Road-following is then performed by projecting new images onto the previously calculated eigenspace. ELVIS architecture and experiments will be discussed as well as implications for eigenvector-based systems and how they compare with neural network-based systems.

Sponsor: DARPA, DOT;National Highway Traffic Safety Administration, NSF, and Dept. of Transportation
Grant ID: DACA76-89-C-0014, DAAE07-90-C-R059, DTNH22-93-C-07023, BCS-9120655
Associated Center(s) / Consortia: Vision and Autonomous Systems Center
Associated Lab(s) / Group(s): NavLab
Associated Project(s): Autonomous Land Vehicle In a Neural Network
Number of pages: 23

Text Reference
John Hancock and Chuck Thorpe, "ELVIS: Eigenvectors for Land Vehicle Image System," tech. report CMU-RI-TR-94-43, Robotics Institute, Carnegie Mellon University, December, 1994

BibTeX Reference
   author = "John Hancock and Chuck Thorpe",
   title = "ELVIS: Eigenvectors for Land Vehicle Image System",
   booktitle = "",
   institution = "Robotics Institute",
   month = "December",
   year = "1994",
   number= "CMU-RI-TR-94-43",
   address= "Pittsburgh, PA",