| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 722524 | IFAC Proceedings Volumes | 2007 | 6 Pages |
Abstract
Automatic surveillance systems as well as autonomous robots are technical systems which would profit from humanlike perceptive systems. We present a technical model for humanlike perception by multi-sensory fusion, symbolic information processing, and knowledge integration. The model is inspired by neuroscience. Information from diverse sensor sources is processed in parallel, transformed into symbolic representations, and further processed in a modular, hierarchical fashion. Higher-level symbolic information is gained by combination of lower-level symbols. Feedbacks from higher levels to lower levels are possible and symbol generation is also influenced by stored knowledge. Copyright © 2007 IFAC
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