Visibility of road hazards in thermal, visible, and sensor-fused night-time imagery
| Autor: | William K. Krebs, Jason S. McCarley |
|---|---|
| Rok vydání: | 2000 |
| Předmět: |
Adult
Male Automobile Driving Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Poison control Physical Therapy Sports Therapy and Rehabilitation Human Factors and Ergonomics Sensitivity and Specificity Grayscale law.invention law Night vision Humans Computer vision Prospective Studies Chromatic scale Safety Risk Reliability and Quality Visibility Engineering (miscellaneous) Spatial analysis Vision Ocular Analysis of Variance business.industry Vision Tests Accidents Traffic Darkness Sensor fusion Achromatic lens Artificial intelligence business Color Perception Photic Stimulation |
| Zdroj: | Applied Ergonomics. 31:523-530 |
| ISSN: | 0003-6870 |
| DOI: | 10.1016/s0003-6870(00)00010-7 |
| Popis: | Sensor fusion combines the output of multiple imaging sensors within a single composite display. Ideally, a fused image will retain important spatial information provided by individual input images, and will convey useful spatial or chromatic emergent information derived from the contrast between input images. The present experiment assessed the potential benefits of sensor fusion as a method of enhancing drivers' night-time detection of road hazards. Observers were asked to detect a pedestrian within thermal and visible images of a night-time scene, and within chromatic and achromatic renderings created by sensor fusion of grayscale thermal and visible images. Results indicated that fusion can both improve spatial image content, and can effectively embellish spatial content with emergent chromatic information. The benefits of both sensor fusion and of color rendering, however, were inconsistent, varying substantially with quality of input images submitted for fusion. |
| Databáze: | OpenAIRE |
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