&lt;title&gt;Rapid area coverage for unexploded ordnance using UAVs incorporating magnetic sensors&lt;/title&gt;

Perry, Alexander R.; Czipott, Peter V.; Walsh, David O.

doi:10.1117/12.478720

Cited by 5 publications

(14 citation statements)

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“…In order to overcome obstacles the aircraft may need to climb temporarily, but the extent to which it can climb depends on its excess speed over the stall speed. For V S = 4 m/s, an airplane with v = 5 m/s can climb 0.4 m. 1 However, if the climb is done in a parabolic trajectory, the speed can drop below the stall speed at the highest point since there is no need of lift at the highest point. If the speed can drop to zero using the conservation of energy (kinetic to potential), a height of 1.2 m can be gained allowing a 3.8 m clearance from the surface.…”

Section: Proc Of Spie Vol 5778 965mentioning

confidence: 99%

“…We have developed a basis for designing such a measurement platform in previous work. 1 While the reader is invited to study the paper that describes this previous work to obtain all the details, we present a brief summary here for easy reference.…”

Section: Target Detection and Location Using A Magnetic Gradiometer Mmentioning

confidence: 99%

“…A simulation with multiple targets was presented in our previous paper. 1 These multiple targets, about 20-50 m separation between neighboring targets, were clearly resolved when the targets were reconstructed using a coherent matched filter. The simulated data were taken at an acquisition rate of 2 Hz with the simulated UAV flying at a speed of 5 m/s -this corresponds to data points taken 2.5 m apart.…”

Section: Proc Of Spie Vol 5778 965mentioning

confidence: 99%

“…However in a previous paper we presented the possibility of doing an aerial scan for a faster scan rate. 1 Instead of using a sparse grid of points, a UAV can fly a series of adjacent tracks and acquire the data needed to locate all items as they are overflown. Some recent modeling suggests that normal UAV flight speeds can achieve an area coverage rate of 15 acres/minute on flat obstacle-free terrains.…”

Section: Introductionmentioning

confidence: 99%

“…Suitable unmanned aerial vehicle (UAV) platforms, both gliders and powered craft, can enable coverage of a search area much more rapidly than surveys using, for instance, total-field magnetometers. 1 We present data from gradiometer passes over different shells using a gradiometer mounted on a moving cart. We also provide detection range and speed estimates for aerial detection by a UAV.…”

mentioning

confidence: 99%

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Using unmanned aerial vehicle-borne magnetic sensors to detect and locate improvised explosive devices and unexploded ordnance

Trammell¹,

Perry²,

Kumar³

et al. 2005

SPIE Proceedings

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Magnetic sensors configured as a tensor magnetic gradiometer not only detect magnetic targets, but also determine their location and their magnetic moment. Magnetic moment information can be used to characterize and classify objects. Unexploded ordnance (UXO) and thus many types of improvised explosive device (IED) contain steel, and thus can be detected magnetically. Suitable unmanned aerial vehicle (UAV) platforms, both gliders and powered craft, can enable coverage of a search area much more rapidly than surveys using, for instance, total-field magnetometers. 1 We present data from gradiometer passes over different shells using a gradiometer mounted on a moving cart. We also provide detection range and speed estimates for aerial detection by a UAV. INTRODUCTIONOne of the most serious problems facing the United States Military is the ability of hostile combatants to place UXOs and IEDs at strategic locations and set off an explosion remotely when military personnel are in the vicinity. There has been significant loss of military personnel to such devices. Since these devices can be easily camouflaged, they are difficult to detect visually. However, since UXOs and many types of IED contain steel, they should be detectable by measuring the distortion of the earth's magnetic field in their presence. Tensor magnetic gradiometry reports accurate direction and approximate range to an UXO using a single point measurement. Performing the measurement at two or more separate locations will obtain the location and the magnetic moment of the UXO. Using the magnetic moment, one may be able to infer the size of the UXO.One drawback of magnetic measurements is that it they tend to be short-range since magnetic fields fall off quickly with distance. When sweeping a given area it may be necessary to come fairly close to the UXO or IED (within a few meters). Moreover the sweep of the area will be necessarily slow given the short detection range. However in a previous paper we presented the possibility of doing an aerial scan for a faster scan rate. 1 Instead of using a sparse grid of points, a UAV can fly a series of adjacent tracks and acquire the data needed to locate all items as they are overflown. Some recent modeling suggests that normal UAV flight speeds can achieve an area coverage rate of 15 acres/minute on flat obstacle-free terrains. For terrain with obstacles such as a road in an urban or semi-rural area our modeling results suggest that an area coverage rate of 1 acre/minute may be obtained with a glider or a powered miniature aircraft with a wingspan of about 2 m.Such a UAV-based technique may be suitable for a relatively quick survey of urban settings, particularly roadsides, using an effectively large standoff to detect, locate, and possibly characterize UXOs and IEDs with a magnetic signature. We anticipate that the technique can be used with even greater facility in semi-rural and rural settings, where the likelihood of obstacles and magnetic clutter is significantly less than in an urban area. In the f...

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Section: Proc Of Spie Vol 5778 965mentioning

confidence: 99%

Section: Target Detection and Location Using A Magnetic Gradiometer Mmentioning

confidence: 99%

Section: Proc Of Spie Vol 5778 965mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

See 3 more Smart Citations

Using unmanned aerial vehicle-borne magnetic sensors to detect and locate improvised explosive devices and unexploded ordnance

Trammell¹,

Perry²,

Kumar³

et al. 2005

SPIE Proceedings

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Characterization and compensation of magnetic interference resulting from unmanned aircraft systems

Tuck¹

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Improving Aeromagnetic Surveying Capabilities of Uninhabited Aircraft Systems

Cunningham¹

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Uninhabited aircraft systems (UAS) have grown in popularity for aeromagnetic surveying. While the technology has been demonstrated to be viable, studies have not addressed three areas. First, comparisons with traditional platforms over geologically interesting regions are limited. Second, demonstrations of advanced processing with UAS data are rare. And lastly, methods for magnetic compensation of UAS data is outstanding. This thesis addresses these three areas in UAS and machine learning and making time to have regular discussions on my research and providing invaluable guidance in helping me complete my graduate studies. I would also like to thank Mr. David Birkett, Mr. Alan Wood, and the rest of the Stratus Aeronautics Inc. team for organizing and performing the UAS survey work in Nelligan, QC and for providing valuable insight into their UAS. Thank you to Mr. Mark Goldie (IAMGOLD Corporation) for making supporting this project by allowing for the aeromagnetic survey over the Nelligan, QC property as well as taking time to bring me to your Quebec exploration office to discuss details of the property. A big thank you to Mr. Steve Balch for encouraging me to push beyond my perceived limits, mentoring me in all things related to airborne geophysics, and providing me opportunities to gain working experiences in the industry; your guidance and support has been invaluable. And thank you to the Department of Earth Sciences and Carleton University for the support they have provided during my studies. I am grateful for the funding provided for my PhD studies. The sources include

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<title>Rapid area coverage for unexploded ordnance using UAVs incorporating magnetic sensors</title>

Cited by 5 publications

References 0 publications

Using unmanned aerial vehicle-borne magnetic sensors to detect and locate improvised explosive devices and unexploded ordnance

Using unmanned aerial vehicle-borne magnetic sensors to detect and locate improvised explosive devices and unexploded ordnance

Characterization and compensation of magnetic interference resulting from unmanned aircraft systems

Improving Aeromagnetic Surveying Capabilities of Uninhabited Aircraft Systems

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