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Sensor fusion display evaluation using information integration models in enhanced/synthetic vision applications
| Content Provider | NASA Technical Reports Server (NTRS) |
|---|---|
| Author | Foyle, David C. |
| Copyright Year | 1993 |
| Description | Based on existing integration models in the psychological literature, an evaluation framework is developed to assess sensor fusion displays as might be implemented in an enhanced/synthetic vision system. The proposed evaluation framework for evaluating the operator's ability to use such systems is a normative approach: The pilot's performance with the sensor fusion image is compared to models' predictions based on the pilot's performance when viewing the original component sensor images prior to fusion. This allows for the determination as to when a sensor fusion system leads to: poorer performance than one of the original sensor displays, clearly an undesirable system in which the fused sensor system causes some distortion or interference; better performance than with either single sensor system alone, but at a sub-optimal level compared to model predictions; optimal performance compared to model predictions; or, super-optimal performance, which may occur if the operator were able to use some highly diagnostic 'emergent features' in the sensor fusion display, which were unavailable in the original sensor displays. |
| File Size | 666140 |
| Page Count | 12 |
| File Format | |
| Alternate Webpage(s) | http://archive.org/details/NASA_NTRS_Archive_19940021020 |
| Archival Resource Key | ark:/13960/t2896446j |
| Language | English |
| Publisher Date | 1993-12-01 |
| Access Restriction | Open |
| Subject Keyword | Man/system Technology And Life Support Pilot Performance Image Processing Display Devices Data Integration Distortion Flight Instruments Human Factors Engineering Man Machine Systems Image Reconstruction Enhanced Vision Ntrs Nasa Technical Reports Server (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science |
| Content Type | Text |
| Resource Type | Article |
