Carnegie Mellon Robotics Institute
Takeo Kanade and R. Bajcsy
Report from the DARPA Workshop, May, 1993.
|This report is a result of a workshop on Computational Sensors that was organized and held at The University of Pennsylvania on May 11-12, 1992. It presents a summary of the state of the art in computational sensors and recommendations for future research programs. Approximately 40 people were invited from academia, government, and industry. The workshop hosted several key presentations and followed them with group discussion and summary sessions.
Traditionally, sensory information processing proceeds in three steps: transducing (detection), read-out (and digitization), and processing (interpretation). Micro-electronics technologies have begun to spawn a new generation of sensors which combine transducing and processing on a single chip - a computational sensor.
A computational sensor may attach analog or digital VLSI processing circuits to each sensing element, exploit unique optical design or geometrical arrangement of elements, or use the physics of the underlying material for computation. Typically, a computational sensor implements a distributed computing model of the sensory data, including the case where the data are sensed or preprocessed elsewhere. Combining computation and signal acquisition into a single chip results often in not only performance improvement but also totally new capabilities that were not previously possible. Finally, the workshop made several important recommendations.
1. Create a research and development program in computational sensors. The program must have the following characteristics:
Associated Center(s) / Consortia:
Vision and Autonomous Systems Center
|Takeo Kanade and R. Bajcsy, "Computational Sensors," Report from the DARPA Workshop, May, 1993.|
author = "Takeo Kanade and R. Bajcsy",
editor = "T. Kanade and R. Bajcsy",
title = "Computational Sensors",
booktitle = "Report from the DARPA Workshop",
month = "May",
year = "1993",
|The Robotics Institute is part of the School of Computer Science, Carnegie Mellon University.|
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