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Test Code : 000-302
Test Name : DB2 9 Database and Application(R) Fundamentals - Academic Initiative
Vendor Name : IBM
: 188 Real Questions

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Innovation: Seeing the mild | 000-302 Real Questions and VCE Practice Test

A vision-Aided Integrity computer screen for Precision Relative Navigation programs

by way of Sean M. Calhoun, John Raquet and Gilbert L. Peterson


INNOVATION INSIGHTS by using Richard Langley

to satisfy THE ACCURACY,  availability, continuity and integrity necessities for a lot of navigation applications, varied-sensor systems are usual. as an example, a GPS receiver should be would becould very well be combined with an inertial dimension unit, electronic compass and an altimeter to let more advantageous navigation accuracy, availability and continuity in obstructed or otherwise complex environments. using arrays of sensors can also assist to make sure that programs utilized in safeguard-crucial navigation purposes give secure counsel through preserving a high stage of integrity.

a vital group of contraptions that will also be utilized in multi-sensor techniques is one whose methods are in keeping with gentle. These optical or vision-based mostly instruments include laser rangefinders and digital cameras. They could even believe their eyes to be in this neighborhood. In common with many different animals, we've developed-in visible sensors to get around in their daily lives. together with their memories, they use their eyes to get safely from one vicinity to an extra. historical mariners tended to sail close to shore so that they might use visible cues for navigation. later on, they realized the way to use the gentle from celestial objects to navigate in the open ocean. And nowadays, while they might use the so-known as “Mark 1 Eyeball” to continually display screen the efficiency of a navigation gadget, here's regularly impractical, inconceivable or unwise.

in this month’s column, we’ll take a look at the development of a generalized imaginative and prescient-aided integrity video display for precision relative navigation purposes. The work is in line with the concept of the usage of a single-camera vision system, reminiscent of a seen-easy or infrared electro-optical sensor, to video display the incidence of unacceptably enormous and potentially dangerous relative navigation errors. A vision-aided integrity video display of this type may well be extremely positive in augmenting existing precision relative navigation methods, comparable to GPS, for various security-crucial aerospace functions reminiscent of formation flying, aerial refueling, rendezvous/docking systems, and even precision touchdown.

it is particularly applicable that such vision-aided techniques be discussed these days on account that 2015 is the international yr of light and lightweight-based applied sciences, or IYL 2015. This United nations initiative aims to elevate cognizance of the achievements of gentle science and its applications, and its significance to humankind. As mentioned on the IYL 2015 website, “[l]ight performs a vital function in their each day lives and is an vital move-slicing discipline of science in the twenty first century. It has revolutionized medicine, unfolded foreign communique by means of the internet, and is still principal to linking cultural, financial and political facets of the international society.”

2015 is also an important anniversary 12 months for several splendid traits in their realizing of light. it is the 1,000th anniversary of the work of the Arabic student Ibn Al-Haytham, which culminated in his book of Optics. A Latin translation enormously influenced a few students in medieval and renaissance Europe including Leonardo da Vinci, Galileo Galilei, and Johannes Kepler. 2015 is additionally the two hundredth anniversary of Augustin-Jean Fresnel’s proposal that mild behaves as a wave and the a hundred and fiftieth anniversary of the booklet of James Clerk Maxwell’s paper describing electromagnetic wave propagation as they discussed in “Insights” this past March. And they should additionally point out that 2015 is the one hundredth anniversary of the book of Albert Einstein’s customary idea of relativity, which contains a description of the propagation of mild and other electromagnetic waves in the presence of a gravitational container.  And the place would GPS and the other international navigation satellite programs and their augmentations be without the realizing that common relativity offers? Nowhere.

“Innovation” is a daily characteristic that discusses advances in GPS technology and its functions as neatly because the fundamentals of GPS positioning. The column is coordinated by Richard Langley of the branch of Geodesy and Geomatics Engineering, tuition of recent Brunswick. He welcomes comments and topic ideas. email him at lang @

currently, there was an elevated consciousness of GNSS boundaries when it comes to robustness, availability and interference. on account of this cognizance, there has been renewed pastime in setting up non-GNSS-based navigation methods to increase equipment means. This has become particularly vital with the style toward autonomous methods, the place required navigation performance (RNP) metrics, such as accuracy, integrity, continuity and availability become operational drivers. because of this style, there is renewed pastime in gaining navigational range the use of imaging or vision-aided navigation techniques. Early research with vision techniques used 3-D terrain databases and imaging techniques to give periodic place updates in collaboration with onboard inertial navigation methods (INS), a good deal like radar techniques did previous to the extensive proliferation of GNSS.

For precision relative navigation functions comparable to formation flying, aerial refueling, rendezvous and docking methods and even precision landing, there is a major body of research for the use of vision navigation systems. as an instance, a imaginative and prescient-primarily based relative navigation solution for aerial refueling with the use of an a priori 3-D tanker model has been developed. consequences from flight checks confirmed that photograph-rendering relative navigation is a doable precision navigation method for shut formation flight, particularly aerial refueling, and  confirmed ninety five% relative navigation accuracies on the order of 35 centimeters inside the operational envelope.

because the physique of imaginative and prescient-aided navigation analysis continues to develop, consideration of different RNP metrics is required. guaranteeing that techniques are proposing secure counsel and retaining a high level of integrity is paramount when considering protection-vital navigation purposes, but is largely ignored in present imaginative and prescient-navigation research.

The idea of integrity, particularly for navigation techniques, refers back to the level of trust that will also be placed in a navigation system when it comes to detecting gross mistakes and divergences. Many navigation functions have adopted the use of coverage levels, that are precise-time navigation gadget outputs that sure the navigation blunders to the required likelihood of integrity possibility. For the case of vertical navigation, the vertical navigation equipment error (NSE) is bounded via the real-time vertical insurance policy level (VPL), and as the lengthy as the VPL is under the vertical alert restrict (VAL), the system can proceed its operation. lack of integrity is defined via the case when the NSE > VAL with out an alert or, in different phrases, when NSE > VAL and VPL ≤ VAL.

one of the vital richest sources of assistance for a way integrity can also be dealt with for precision relative navigation systems can be found with the local area Augmentation gadget (LAAS), which focused on proposing integrity under fault-free and single ground reference receiver failure situations. LAAS employs a few great displays akin to receiver independent integrity monitoring (RAIM).

much of the vision-aided navigation research up to now has focused extra on equipment and algorithmic robustness, instead of quantitative and verifiable integrity, especially for characteristic-based processing. One approach has introduced the concept of regional bounding for function correspondence between time-sequenced graphic frames, together with some characteristic-entertaining criteria that may supply some insurance policy from characteristic correspondence errors. however this method does yield some robustness for the algorithms, no quantitative integrity characterization was developed. a different method added a truly quantitative integrity video display for screw ups in the mapping of features to pixels, notably in the presence of a bias. This approach predicts the greatest possible position error within the presence of one such bias as a result of feature mismatch the use of a GPS RAIM-class strategy. The present state of research addressing integrity for imaginative and prescient navigation, using an image-rendering or template-matching approach, is even much less mature. truly, they have not recognized any previous integrity-certain work for photograph-rendering imaginative and prescient navigation.

The research presented in this article generalizes the thought of integrity in terms of operating and alerting regions. functions that use navigation techniques commonly have objective operating areas that require a definite navigation efficiency, whether this be round a go with the flow-slope, a formation flight place or perhaps a flight-route clearance. Navigation integrity becomes crucial as a result of giant divergences from these operating areas, with out an alert, can develop into safeguard hazards. The alert restrict is without difficulty the instantiation of this concept. it's the threshold or measure of how a whole lot undetected divergence from the working vicinity can be tolerated without inducing unacceptably massive security hazards.

The final sections of this article will describe the development of a rigorous and quantitative imaginative and prescient-aided integrity video display for precision relative navigation programs. First, an introduction to relative navigation the usage of image rendering can be covered with the intention to describe the simple imaginative and prescient navigation strategy. This could be followed by using a detailed derivation of the proposed vision-aided integrity display screen and simulation primarily based efficiency results.

the usage of picture Rendering

The foundation of their analysis is that imaginative and prescient-aided innovations, specifically picture rendering, can also be used to assemble a excessive-performance integrity display screen for precision relative navigation systems. photo rendering processes and/or template matching were used considerably in imaginative and prescient purposes similar to desktop imaginative and prescient, medical graphic registration, object detection and pose estimation, and currently as a precision navigation device for applications similar to aerial refueling and formation flight. The prevalent conception of graphic-rendering precision relative navigation was evaluated for an automatic aerial refueling software, the usage of the approach illustrated in figure 1. The photograph rendering method is in accordance with comparing graphic sensors with rendered imagery from excessive-constancy models, to estimate a relative region based on the ultimate photograph correspondence.

FIGURE 1. Image rendering relative navigation approach.

figure 1. image rendering relative navigation method.

The photo correspondence method is the most crucial element of the picture-rendering or template-matching navigation strategy, but the focal point of their research is not to make claims of optimality or efficiency-change judgments between these picture correspondence ideas, however fairly demonstrate feasibility in the basic imaginative and prescient-aided integrity approach the usage of some of these thoughts. Most photograph correspondence approaches seriously change the photographs into characteristic area, corresponding to scale-invariant function transform, silhouette, edges and corners, to identify a number of, after which compute a distance metric between the characteristic units, comparable to Minkowski or Mahalanobis distance, to determine the diploma of matching.

once the precise sensor photograph is converted to characteristic area, rendered pictures are generated in keeping with the relative navigation state estimate using the model, transformed to characteristic house, and compared to the sensor aspects. This method is repeated throughout the navigation state space, computing a picture correspondence value for each and every state estimate. The chosen navigation state estimate is based on the “gold standard” picture correspondence price across the state space.

An instance outcomes of this process is offered in determine 2, which suggests correspondence values for an aspect-based mostly graphic-correspondence manner. in this case, the minimum correspondence value represents the ideal estimate of the relative navigation state. These photograph correspondence values between the sensor image (IS) and the rendered reference images (IR) will kind the basis for the integrity computer screen detection rule.

FIGURE 2. GRD-based image correspondence illustration as a function of 2-D relative navigation state.

figure 2. GRD-based graphic correspondence illustration as a feature of two-D relative navigation state.

imaginative and prescient-Aided Integrity display screen building

As indicated in the previous sections, their research is in accordance with defining a imaginative and prescient-aided integrity computer screen when it comes to detecting when the gadget navigation state (x) is inside a designated operating region (XOR) versus being inside the alert region state house (XAR). The integrity display screen can yield four different situations: rejection (PR), misdetection (PMD), detection (PD) and false-alarm (PFA). The efficiency of this class of binary (H0/H1) detection scheme may also be characterised using simply two of these metrics, the detection and false-alarm charges, which could be the two simple efficiency metrics for this research. PD is the primary metric measuring navigation integrity, describing the likelihood that the monitor correctly detects the circumstance when x ∈ XAR.

Bayesian, Minimax and Neyman-Pearson are a couple of of the detection schemes accessible to remedy this classification of binary detection problem. These detection schemes depend on the advantage of the underlying statistics of the H0 and H1 condition, frequently characterized when it comes to the probability density capabilities (PDFs). The main change between these procedures is the resulting detection rule value (δ). once δ has been centered, the resulting theoretical performances of the detectors are computed via integrating the underlying PDFs of the H0 and H1 conditions, pH0 and pH1 respectively. The probability of detection (PD) is computed as


The integrity efficiency of the video display can even be described when it comes to integrity possibility or likelihood of neglected detection

(PMD), which is computed as


similarly, the probability of false-alarm (PFA) is computed as


here's represented graphically in determine three.

FIGURE 3. Graphical illustration of detection performance.

determine three. Graphical illustration of detection performance.

The PDFs symbolize the statistical distributions of photo correspondence values for the respective H0/H1 circumstance. The regular detection rule premise is such that for a given sensor graphic, the underlying PDF for the “choicest” photo correspondence with the rendered reference set is sufficiently different when the sensor photo is in an H0 situation versus H1. The features of the H0/H1 PDFs that dictate the display screen efficiency are based on many elements, including the constancy and accuracy of the area model, the conventional observability of the photograph rendering procedure and the picture correspondence approach for the certain software. For their research, they used two photo correspondence ideas to evaluate the universal integrity display screen strategy.

the first image correspondence technique evaluated is an easy binary silhouette (SIL). in this approach, each the sensor photo IS(x) and reference photo set IR(x-character) are converted to a silhouette using pre-described thresholds to first convert the pink-eco-friendly-blue (RGB) pictures to gray scale after which because of this to a binary picture. a picture correspondence characteristic computes the percentage of overlap between the silhouettes.

The ensuing image correspondence is in accordance with the ratio of the cardinality of these units. The navigation state estimate (x-character) that yields the maximum graphic correspondence cost from the set of rendered reference images or template database is regarded the absolutely for that particular picture sensor (IS).

The 2d image correspondence makes use of aspect facets for the photograph correspondence method. beneath this method, magnitude of gradient (GRD) processing is used, during which the sensor photo and the rendered reference photographs are preprocessed through a Prewitt filter to investigate alterations in photograph intensities between adjacent pixels. This process computes the add-ons of the gradient. The gradient magnitude is computed via root-sum-squaring the x-y add-ons and normalized, resulting in an aspect detection. A Gaussian blur filter is then utilized to the output of the edge detection.

The utility of the Gaussian blurring compensates for the spatial discrepancies between the discrete reference set or template database and the sensor photo. finally, the resulting function pictures, including both the reference image (IR_GRD) and the sensor photograph (IS_GRD), are processed through a sum-squared-change (SSD) image correspondence.

The ensuing PDFs are in response to the greatest image correspondence with the RE reference set, which is the minimum for the GRD processing.

These graphic correspondences construct the basis of the detection metric, utilizing both the sensor photo (IS) and the rendered reference set (IR), which is spatially distributed across the working place, illustrated by using figure 4. This illustrated example indicates circumstances of both a H0 and H1 sensor photograph (blue and purple, respectively). The underlying H0/H1 PDFs for setting up the detection threshold are decided through sampling sensor pictures from XOR and XAR and computing the image correspondence towards IR. This can also be achieved through a mixture of excessive-fidelity simulation and/or test information. The common efficiency of the integrity computer screen may be dictated with the aid of these underlying distributions. here sections demonstrate the effects of this integrity monitor strategy for an aerial refueling utility.

FIGURE 4. Simplified example of rendered reference set (IR) illustrating image correspondence process for integrity monitoring.

determine four. Simplified instance of rendered reference set (IR) illustrating image correspondence system for integrity monitoring.

Simulation evaluation

To explore the performance of the proposed integrity display screen method, an aerial refueling (AR) utility became modeled within a simulation ambiance. The AR operation lends itself well to the assemble of the proposed integrity video display and is developed to reveal that the device (refueling plane) is in the refueling envelope (RE) and has no longer violated the alert restrict, which in the AR case is the safety boundary (SB). during this operational case, H0 is described because the situation when the integrity monitor determines the refueling aircraft is within the RE, and H1 because the case when the integrity video display determines the refueling aircraft to be in the SB. A validity region is additionally described as a way to certain the problem, during which it is believed that the refueling plane is always within, beneath each H0 and H1 conditions, as shown in determine 5.

FIGURE 5. Integrity regions of interest for an aerial refueling application and illustrated example of a rendered H0 image set for the refueling envelope used as the correspondence basis for the integrity detection metric.

figure 5. Integrity regions of activity for an aerial refueling application and illustrated example of a rendered H0 picture set for the refueling envelope used because the correspondence basis for the integrity detection metric.

To determine the underlying H0/H1 distributions, a set of reference pictures uniformly sampled from the RE become rendered the usage of the linked tanker and digital camera models. This rendered picture set turned into used because the commonplace basis for performing the photo correspondence with the exact sensor photo.

The baseline RE reference set used for this research turned into developed the use of 504 rendered photographs disbursed in a spherically uniform manner across the whole RE quantity. Then, two random sets of simulated sensor images had been generated and drawn from both RE and SB regions. It is assumed that the refueling plane and corresponding sensor photos are inside the validity vicinity with the intention to certain the simulation. This bounding assumption is a suitable constraint, considering the fact that the gadget surely had to pass a number of operational tests to ensure the refueling plane is within the widely wide-spread location of the RE as described by means of the validity place. To get detailed statistical representation of the PDFs, peculiarly at the tails of the distribution, both RE and SB image units blanketed greater than a hundred,000 simulated sensor photographs, representing actual states of the refueling plane. The simulation atmosphere for this evaluation makes use of the same refueling tanker model for the sensor photographs and the RE reference set, which eliminates the results of modeling mistakes. moreover, diversifications within the attitude are at present not considered. The resulting PDFs for H0 (blue) and H1 (purple) circumstances are proven in figure 6.

FIGURE 6. Underlying image correspondence distribution for H0 (blue) and H1 (red) conditions.

determine 6. Underlying graphic correspondence distribution for H0 (blue) and H1 (pink) conditions.

determine 6 shows commonly decent difference between the H0 and H1 hypotheses — a essential condition to obtain decent detection efficiency. a few strategies had been evaluated for deciding on the PDF together with histogram, nearest neighbor and kernel with a Gaussian weighting function. These underlying H0 and H1 distributions might be used as the foundation for designing the detection thresholds, in line with the image correspondence of the sensor picture with the RE reference set. These effects anticipate uniform prior distributions throughout the RE and SB regions; however, it could be noticeably simple to contain non-uniform prior guidance, in keeping with a specific application, as attainable.

Detection schemes are sometimes characterised using receiver operating traits or ROC curves, which illustrate the detection-video display alternate-off between chance of detection and likelihood of false alarm. The predicted detection efficiency for this AR software is a characteristic of these underlying H0/H1 PDFs, and this efficiency is captured in the ROC curves shown in determine 7. The ROC curves exhibit that 10-three degree integrity-video display detection efficiency (PD) is realizable for both SIL and GRD graphic correspondence procedures, while nonetheless holding an affordable chance of false alarm (PFA) of less than 0.05 (5%). The SIL method demonstrates just a little more desirable performance than GRD below the chosen graphic resolution and RE reference set density. normally, theoretical ROC curves would prolong throughout the whole latitude of values [0,1] for each PD and PFA; despite the fact, this assumes unbounded PDFs. Doing so would require an unlimited number of simulation circumstances and is obviously now not purposeful for a simulation evaluation to profit information vital to lengthen the PDFs close the total theoretical degrees. Overbounding of the PDF tails could be performed to extrapolate and extend the tails of H0/H1 PDFs to examine the integrity detection efficiency beyond the latest tiers, however this become no longer carried out as part of this research.

FIGURE 7. Predicted integrity detection performance for both SIL and GRD image correspondence techniques.

figure 7. predicted integrity detection efficiency for both SIL and GRD photograph correspondence techniques.

In most applications, situations exist that are outside of the nominally defined operational envelope, however yet aren't giant sufficient deviations to be considered safety hazards that require alerts and action. one of these case exists for the refueling operation beneath consideration during this research, where there exists a location outside the RE, however now not in the SB, which they can seek advice from as the operational limit volume (OLV). The latest definitions of H0 and H1 for the vision-aided integrity-display screen procedures developed above best accept as true with situations within the RE or the SB extent, and not inside the OLV extent. OLV conditions had been left out when you consider that they technically aren’t considered a security or integrity chance. despite the fact, it's viable under definite implementations and operational issues that integrity monitoring insurance is favored under these OLV circumstances.

using the identical analysis system because the common assessment, an up-to-date simulation changed into carried out, this time given that all facets inside the validity place, together with the OLV elements. To construct a detection scheme below this new paradigm, the OLV situations ought to be either mapped to the existing H0 or H1 hypotheses, or a new hypothesis ought to be described, maybe developing an M-ary speculation state of affairs. The approach taken for this analysis changed into to consider OLV conditions as a safety risk, which is a conservative method, in place of defining any new hypotheses. The ensuing graphic correspondence distributions are proven in determine eight. Subplots (a) and (b) reveal the difference the OLV points have on the underlying PDF distributions. As anticipated, when the OLV elements are excluded, the PDFs music the long-established distributions fairly smartly. The have an effect on of together with sensor places from the OLV is apparent from these figures, yielding an even bigger overlap between the H0/H1 circumstances.

FIGURE 8. Simulation testing results assuming OLV states are a safety risk. The prediction represents expected performance without consideration of the OLV states. (a) SIL image correspondence PDFs,(b) GRD image correspondence PDFs, (c) SIL ROC curve, (d) GRD ROC curve.

determine eight. Simulation testing results assuming OLV states are a security chance. The prediction represents expected efficiency without consideration of the OLV states. (a) SIL picture correspondence PDFs,(b) GRD picture correspondence PDFs, (c) SIL ROC curve, (d) GRD ROC curve.

a great deal like the PDFs, the ROC curves align with the previous results rather smartly when the OLV situations are overlooked, however take a order of magnitude integrity performance hit when OLV is captured under the latest H0/H1 definition and detection thresholds. Even beneath this conservative assumption, the general computer screen efficiency nevertheless yields a 0.ninety six (96%) detection rate at a 0.05 (5%) false-alarm rate, as illustrated by the ROC curves shown in subplots (c) and (d) of determine 8. It is probably going that these results may well be enormously improved via redefining the terms of the H0 and H1 conditions or defining an H2 circumstance specially for the OLV place.

Sensitivity analysis

moreover the baseline integrity computer screen results, a considerable number of sensitivity studies have been performed to consider the integrity video display performance impacts of environmental and hardware issues. These sensitivity reviews focused on typical imaginative and prescient-based concerns such as sensor distortions and lighting fixtures circumstances, and video display design decisions akin to pixel decision and reference photograph density. The sensitivity points that have been evaluated under this analysis covered the number of reference photographs, the results of photograph distortion, pixel decision and lighting fixtures situations.

Reference Set Density. moreover their average reference set of 504 RE photographs, they performed exams using 288 and 729 photos. whereas a bigger number of photos improves integrity detection efficiency, processing pace is reduced. it is feasible to trade off processing power for performance as critical for a particular software and the linked integrity computer screen performance necessities.

picture Distortion. They utilized radial and tangential distortions to the simulated sensor photos (IS) such that they represented a 95% certainty of the residual error to symbolize an outer envelope case for this type of sensor. The have an effect on on the H0/H1 PDFs is very minimal, and the outcomes reveal a possible robustness to this usual type of sensor impact.

Pixel decision. They evaluated eight diverse pixel resolutions from 12 × 9 to 1280 × 1024 pixels per picture. Their consequences confirmed a stunning robustness to pixel resolution, indicating handiest marginal efficiency affects down to extremely restrained pixel densities.

lighting fixtures situations. To explore the have an impact on of lights situations, the simulated sensor photographs (IS) used as the foundation for the sensitivity evaluation have been regenerated below a secondary lights circumstance, supposed to emulate a a good deal brighter history atmosphere, and processed against the common RE reference set. The consequences show that below these various lighting fixtures circumstances, the device once again demonstrates a high stage of robustness, specially the use of the SIL picture correspondence method.

Ratio look at various Integrity check

The initial integrity display screen results mentioned to this point best used reference photos from the operational location, RE. besides the fact that children, it's also feasible to make use of a reference photograph set created with rendered pictures from the alert place, SB, with the aid of including an further image correspondence manner between the sensor image and rendered SB reference set. here's executed to create a ratio look at various statistic as the detection metric. They compute the ratio of the optimum image correspondence between the RE and SB reference sets. This method is very analogous to the use of ratio assessments for GNSS service-phase integer fixing.

The ensuing ROC detection performance of the ratio threshold strategy confirmed that, as with the single RE reference set, the SIL photo correspondence strategy yields the premiere H1 detection performance, ensuing in the most excellent integrity insurance policy.

The GRD ratio detection efficiency additionally yields more desirable performance and is comparable to the SIL graphic correspondence method totally with RE reference set.

Conclusions and Future Work

listed here, they have discussed the feasibility of a vision-aided integrity display screen for precision relative navigation programs. The analysis posed the relative navigation integrity difficulty in the context of an aerial refueling utility. the usage of photo rendering, where an imaging sensor and excessive-fidelity three-D mannequin is used, we've shown that 10-3 to 10-5 stage of integrity monitoring is obtainable for aerial refueling and formation flight purposes. Having this stage of unbiased monitoring might provide huge aid to a GPS-based precision relative-navigation device from a system-safeguard and certification perspective. The analysis tested the proposed integrity computer screen changed into effective in opposition t several degrading imaging outcomes, together with lens distortions, lights conditions and discounts in pixel decision. youngsters more work is required to validate the results of this research, which became based on simulated images, the consequences demonstrate high promise for this classification of integrity display screen strategy.


The views expressed in this article are those of the authors and don't replicate the reliable policy or place of the us Air drive, branch of defense, or the U.S. executive.


this text is in line with the paper “vision-Aided Integrity computer screen for Precision Relative Navigation techniques” offered at ITM 2015, the 2015 foreign Technical meeting of The Institute of Navigation held in Dana aspect, Calif., Jan. 26–28, 2015.

SEAN CALHOUN is the managing director at CAL Analytics, Columbus, Ohio, and is pursuing his Ph.D. diploma at the Air drive Institute of expertise (AFIT), Wright-Paterson Air force Base, Ohio.

JOHN RAQUET is the director of the Autonomy and Navigation technology center at AFIT, the place he is also a professor of electrical engineering.

GILBERT L. PETERSON is a professor of computer science at AFIT and vice chair of the overseas Federation for advice Processing Working community eleven.9, Digital Forensics.

extra analyzing
  • Authors’ convention Paper
  • “imaginative and prescient-Aided Integrity computer screen for Precision Relative Navigation programs” by way of S.M. Calhoun, J. Raquet and G. Peterson in lawsuits of ITM 2015, the 2015 foreign Technical meeting of The Institute of Navigation, Dana point, Calif., Jan. 26–28, 2015.

    “Flight check evaluation of photo Rendering Navigation for shut-Formation Flight” by using S.M. Calhoun, J. Raquet and J. Curro in lawsuits of ION GNSS 2012, the twenty fifth international Technical assembly of the satellite Division of The Institute of Navigation, Nashville, Tenn., Sept. 17–21, 2012, pp. 826–832.

    using Predictive Rendering as a imaginative and prescient-Aided method for self sufficient Aerial Refueling through A.D. Weaver, M.S. thesis, Air force Institute of technology, Wright-Patterson Air force Base, Ohio, March 2009.

    “Fusing least expensive photo and Inertial Sensors for Passive Navigation” by M. Veth and J. Raquet in Navigation: Journal of The Institute of Navigation, Vol. fifty four, No. 1, Spring 2007, pp. 11–20. doi: 10.1002/j.2161-4296.2007.tb00391.x.

    “computerized Rendezvous and Docking Sensor trying out at the Flight Robotics Laboratory” by way of J.D. Mitchell, S.P. Cryan, D. Strack, L.L. Brewster, M.J. Williamson, R.T. Howard and A.S. Johnston in lawsuits of 2007 IEEE Aerospace conference, massive Sky, Mont., March 3–10, 2007, doi: 10.1109/AERO.2007.352723.

    “performance of integrated Electro-Optical Navigation methods” through T. Hoshizaki, D. Andrisani II, A.W. Braun, A.k. Mulyana and J.S. Bethel in Navigation: Journal of The Institute of Navigation, Vol. fifty one, No. 2, summer 2004, pp. one hundred and one–121, doi: 10.1002/j.2161-4296.2004.tb00344.x.

  • Simultaneous Localization and Mapping
  • “A overview of fresh trends in Simultaneous Localization and Mapping” through G. Dissanayake, S. Huang, Z. Wang and R. Ranasinghe in lawsuits of sixth IEEE foreign convention on Industrial and tips systems, Kandy, Sri Lanka, Aug. 16–19, 2011, pp. 477–482, doi: 10.1109/ICIINFS.2011.6038117.

    “constructing a Framework for image-primarily based Integrity” by C. Larson, J.F. Raquet and M.J. Veth in lawsuits of ION GNSS 2009, the 22nd foreign Technical meeting of the satellite tv for pc Division The Institute of Navigation, Savannah, Ga., Sept. 22–25, 2009, pp. 778–789.

    “From RAIM to NIOAIM: a new Integrity approach to built-in Multi-GNSS techniques” with the aid of P.Y. Hwang and R.G. Brown in inside GNSS, Vol. 3, No. four, may also-June 2008, pp. 24–33.

    minimum Aviation equipment efficiency necessities for native area Augmentation equipment (LAAS), DO-245A, by RTCA SC-159 WG-4, RTCA Inc., Washington, D.C., December 2004.

    “bendy digital camera Calibration by way of Viewing a plane from Unknown Orientations” by Z. Zhang in lawsuits of ICCV’ninety nine, the Seventh IEEE overseas conference on desktop imaginative and prescient, Kerkya, Greece, Sept. 20–27, 1999, Vol. 1, pp. 666–673, doi: 10.1109/ICCV.1999.791289.

    Digital picture Processing, 4th Ed., with the aid of W.okay. Pratt, published through John Wiley & Sons, manhattan, 2007.

    Digital image Processing, third Ed., by way of R.C. Gonzalez and R.E. Woods, posted through Prentice corridor, higher Saddle River, N.J., 2007.

    Detection of indicators in Noise, 2nd Ed., by using R. N. McDonough and A.D. Whalen, published by academic Press, Inc., Waltham, Mass., 1995.

    An Introduction to signal Detection and Estimation, 2nd Ed., by way of H.V. poor, posted by Dowden & Culver, an imprint of Springer, manhattan. 1994.

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