Abstract
A massively parallel processor array which combines image sensing and processing is utilized for the implementation of a simple Cellular Automaton. This automaton is essential part of an image processing task supporting object detection in real-time for an autonomous robot system. Experiments are presented, which demonstrate that objects will be detected only if they move below a specific velocity in the visual scene. Based on these experiments we will discuss the role of configurations changes if a Cellular Automaton is seen as a parallel processing computer. This leads us to the conclusion that if CA are performing non-static data processing tasks they might be better approached as sensor-driven parameterized dynamical system rather than as parallel computers operating on initial configurations only.
| Original language | English |
|---|---|
| Title of host publication | Automata-2008 |
| Subtitle of host publication | Theory and Applications of Cellular Automata |
| Publisher | Luniver Press |
| Pages | 504-510 |
| Number of pages | 7 |
| ISBN (Print) | 978-1905986163 |
| Publication status | Published - 01 Jun 2008 |