Runway Extraction in Low Visibility Conditions Based on Sensor Fusion Method

This paper presents the design and implementation of a low-cost vision-based system for an aircraft during approach and landing under low visibility. The system is based on combination of multisensor fusion strategy and image processing algorithm, where no expensive equipments, such as millimeter wave radar, are needed. It is aiming to alleviate restrictions in airspace and airport capacity in low visibility conditions by augmenting the naturally existing visual cues. With the fusion approach, pilots are able to identify the runway under low visibility conditions.

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