&lt;title&gt;Development and testing of the EVS 2000 enhanced vision system&lt;/title&gt;

Way, Scott P.; Kerr, Richard A.; Imamura, Joe J.; Arnoldy, Dan; Zeylmaker, Richard; Zuro, Greg

doi:10.1117/12.487569

Cited by 1 publication

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“…Much more sophisticated procedures for analyzing images from a bi-FLIR camera have been developed and tested on some aircraft landing image sequences, which DLR got from Max-Viz 13,14 . This bi-FLIR camera (EVS-2000) consists of two separate (un-cooled) IR-sensors which are sensitive to different wave lengths of IR-radiation, one for shorter wave radiation for the detection of high-intensity lighting of landing environment, and one for longer wave radiation for the detection of terrain and obstacles.…”

Section: Bi-flir Cameramentioning

confidence: 99%

Autonomous infrared-based guidance system for approach and landing

Doehler¹,

Korn²

2004

Enhanced and Synthetic Vision 2004

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This contribution summarizes DLR's recent development of a considerable robust and reliable method to estimate the relative position of an aircraft with respect to a runway based on camera images only (TV, infrared or even PMMW radar). The special advantage of the proposed method is, that neither a calibrated camera (referring to focus length and mounting angles relative to the aircraft) is required, nor any knowledge of special points of the runway (3-D world coordinates and their 2-D identification within the image) is needed. The only reference to the 3-D world, which has to be known, is the width of the runway stripe. The proposed algorithm computes the relative height of the aircraft above the runway stripe and the lateral deviation from the centre line of the runway as well. Additionally, several image analysis procedures are presented which allow to detect the runway stripe by either grouping the asphalt/grass border lines, or by analyzing the alignment structure of runway lights. The proposed image analysis method fulfills real-time requirements and has been tested with several image sequences acquired with different types of IR-cameras.

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Section: Bi-flir Cameramentioning

confidence: 99%