&lt;title&gt;Flight test results of a synthetic-vision elevation database integrity monitor&lt;/title&gt;

de, Haag Maarten Uijt; Sayre, Jonathon; Campbell, Jacob; Steve, D Young; Gray, Robert

doi:10.1117/12.438016

Cited by 13 publications

(8 citation statements)

References 5 publications

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“…(1) is χ 2 distributed with N degrees of freedom, whereas, under H 1 , T follows a noncentral χ 2 distribution with N degrees of freedom and noncentrality parameter λ. Figure 3 shows a representation of the distributions of the test statistic, T , under the H 0 and H 1 hypotheses [6].…”

Section: A Formulation Of Hypothesesmentioning

confidence: 99%

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Terrain Elevation Data Integrity Monitor and Referenced Navigation

Vadlamani

Haag

2009

Journal of Aerospace Computing, Information, and Communication

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Synthetic vision systems provide a synthesized view of the outside world to pilots on displays in the flight deck. Terrain databases onboard aircraft are used as the source of terrain elevation information on synthetic vision system displays. Because the primary function of these displays is to improve flight safety, it is imperative that the terrain data used to generate the imagery conform to a high level of integrity. Otherwise, instead of preventing accidents, the terrain database would be cause of more. Hence, it is necessary to include an integrity monitor function that ensures the terrain data are consistent with the real world. In this paper, we revisit previously proposed concepts and present the development of a 3D spatial data integrity monitor. The framework is also extended to a terrain referenced navigation scheme such that both operations can be performed simultaneously. Presented furthermore is a Kalman filter design and its associated tradeoffs for improving the performance of the integrity monitor and navigation functions. The performance of the integrity monitor and position estimator for navigation is evaluated using flight test data collected in the vicinity of Braxton County airport in West Virginia.

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Section: A Formulation Of Hypothesesmentioning

confidence: 99%

“…Earlier work [2,3,5,6] has used a downward-looking radar altimeter because most aircraft are already equipped with one. The applicability of light detection and ranging (LIDAR) was investigated in [7] and forward-looking, X-band weather radar, configured in terrain mapping mode is used in [8].…”

Section: Prior Work and Current Effortmentioning

confidence: 99%

Terrain Elevation Data Integrity Monitor and Referenced Navigation

Vadlamani

Haag

2009

Journal of Aerospace Computing, Information, and Communication

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“…As has been discussed in previous papers [2] [3] [4] [5], the integrity of the terrain database in a SVS can be monitored given a method to compare the agreement between the database and the actual terrain. As proposed in [2], a synthesized terrain profile can be generated using Differential GPS (DGPS) and radar altimeter data then compared to the profile traced in the terrain database.…”

Section: Downward Looking Integrity Monitormentioning

confidence: 99%

The application of LiDAR to synthetic vision system integrity

Campbell

Haag²,

Vadlamani³

et al. 2003

22nd Digital Avionics Systems Conference Proceedings (Cat No 03CH37449) DASC-03

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One goal in the development of a Synthetic Vision System (SVS) is to create a system that can be certified by the Federal Aviation Administration (FAA) for use at various flight criticality levels. As part of NASA's Aviation Safety Program, Ohio University and NASA Langley have been involved in the research and development of real-time terrain database integrity monitors for SVS. Integrity monitors based on a consistency check with onboard sensors may be required if the inherent terrain database integrity is not sufficient for a particular operation. Sensors such as the radar altimeter and weather radar, which are available on most commercial aircraft, are currently being investigated for use in a real-time terrain database integrity monitor. This paper introduces the concept of using a Light Detection And Ranging (LiDAR) sensor as part of a real-time terrain database integrity monitor. A LiDAR system consists of a scanning laser ranger, an inertial measurement unit (IMU), and a Global Positioning System (GPS) receiver. Information from these three sensors can be combined to generate synthesized terrain models (profiles), which can then be compared to the stored SVS terrain model. This paper discusses an initial performance evaluation of the LiDAR-based terrain database integrity monitor using LiDAR data collected over Reno, Nevada. The paper will address the consistency checking mechanism and test statistic, sensitivity to position errors, and a comparison of the LiDAR-based integrity monitor to a radar altimeter-based integrity monitor.

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“…[16]. Figure 2 shows a representation of the distributions of the test statistic, T, under Ho and HI hypotheses [14].…”

Section: Detection)mentioning

confidence: 99%

Improved downward-looking terrain database integrity monitor and terrain navigation

Vadlamani

Haag

2004 IEEE Aerospace Conference Proceedings (IEEE Cat. No.04TH8720)

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Terrain database integrity monitors and terrain referenced navigation systems are both based on performing a comparison between stored terrain elevation data and data obtained from airborne sensors such as radar altimeters, inertial measurement units (IMUs), Global Positioning System (GPS) receivers etc. The concept of consistency checking as used for the integrity monitor function originated from terrain referenced navigation systems. This paper discusses the extension to a previously proposed method of improving the perfonnance of a spatial integrity monitor for terrain elevation databases. Furthennore, this paper discusses an improvement of the terrain-referenced aircraft position estimation for aircraft navigation using only the infonnation from downward-looking sensors, GPS and the terrain databases, and not the infonnation from the IMU. Horizontal failures have been characterized based on the sensed terrain infonnation. Kalman fi lter methods have been designed to achieve the integrity monitor and terrain navigation performance improvements.

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<title>Flight test results of a synthetic-vision elevation database integrity monitor</title>

Cited by 13 publications

References 5 publications

Terrain Elevation Data Integrity Monitor and Referenced Navigation

Terrain Elevation Data Integrity Monitor and Referenced Navigation

The application of LiDAR to synthetic vision system integrity

Improved downward-looking terrain database integrity monitor and terrain navigation

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