&lt;title&gt;Theoretical analysis of a continuous tracking system&lt;/title&gt;

Garren, David A.; Grayson, Timothy P.; Johnson, Ray O.; Strat, Thomas M.

doi:10.1117/12.351608

Cited by 2 publications

(2 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…So we got into the business of developing different types of laser and other optical sources and doing research in nonlinear optics. [20][21][22][23][24][25] But I think that's where again this this sort of practical side kind of tugged at me, because it was really interesting research going on there, the device and the system level. I kept saying, "What's this good for?…”

Section: Innovation At Darpamentioning

confidence: 99%

Mosaic Warfare and Human–Machine Symbiosis

Grayson

Lilliu²

2021

SciVPro

Self Cite

View full text Add to dashboard Cite

As the director of the Strategic Technology Office at the Defense Advanced Research Projects Agency (or DARPA), Timothy leads the office in development of breakthrough technologies to enable war fighters to field, operate, and adapt distributed, joint, multi-domain combat capabilities at continuous speed. He is also founder and president of Fortitude Mission Research LLC and spent several years as a senior intelligence officer with the CIA. Here he illustrates the concept of Mosaic Warfare, in which individual warfighting platforms, just like ceramic tiles in a mosaic, are placed together to make a larger picture. This philosophy can be applied to tackle a variety of human challenges including natural disasters, disruption of supply chains, climate change, pandemics, etc. He also discusses why super AI won’t represent an existential threat in the foreseeable future, but rather an opportunity for an effective division of labour between humans and machines (or human-machine symbiosis). See video at https://youtu.be/_5MkXD_m6Qc

show abstract

Section: Innovation At Darpamentioning

confidence: 99%

Mosaic Warfare and Human–Machine Symbiosis

Grayson

Lilliu²

2021

SciVPro

Self Cite

View full text Add to dashboard Cite

show abstract

“…Moving target indicator (MTI) radars [14] are powerful reconnaissance and intelligence resources because of their capability to detect moving objects over large areas. Together with SAR, MTI can potentially provide a more complete picture of the battlefield [6,9,18].…”

Section: Introductionmentioning

confidence: 99%

MTI data clustering and formation recognition

Carlotto¹

2001

IEEE Trans. Aerosp. Electron. Syst.

View full text Add to dashboard Cite

Image exploitation technology approaches have generally focused on the detection and spatial analysis of stationary groups of objects on the ground using various sensors. While spatial arrangement is clearly necessary in analyzing military formations, it is usually not sufficient. Typically the arrangement must be examined within some context in order to interpret a pattern of deployment. For moving objects the spatial arrangement of the group relative to the direction of motion is key to recognizing the formation. By examining ground moving target indicator (MTI) radar data over time, motion can be inferred and used to establish a context for interpreting the spatial arrangement of the data. New techniques that exploit the multitemporal nature of MTI data are described. The first is a space-time clustering technique that locates compact groups of objects that persist in time. The technique is an application of Marr and Hildreth's edge detection methodology to the dual problem of region segmentation, or more accurately, volumetric segmentation of space-time. The second technique is based on the use of the Hough transform for recognizing moving formations such as columns, wedges, and lines abreast by analyzing the shape of clustered MTI detections (specifically the orientation of linear arrangements within the group) with respect to their direction of motion. Preliminary results from simulated MTI data sets are presented.

show abstract

<title>Theoretical analysis of a continuous tracking system</title>

Cited by 2 publications

References 0 publications

Mosaic Warfare and Human–Machine Symbiosis

Mosaic Warfare and Human–Machine Symbiosis

MTI data clustering and formation recognition

Contact Info

Product

Resources

About