Defense Advanced Research Projects AgencyTagged Content List

Novel Sensing and Detection

Novel concepts and devices capable of detecting and monitoring physical phenomena

Showing 6 results for Sensors + Processing RSS
09/13/2016
Airspace for the flying public today is perpetually congested yet remarkably safe, thanks in no small part to a well-established air traffic control system that tracks, guides and continuously monitors thousands of flights a day. When it comes to small unmanned aerial systems (UAS) such as commercial quadcopters, however, no such comprehensive tracking system exists.
09/07/2017
DARPA published its Young Faculty Award (YFA) 2018 Research Announcement today, seeking proposals in 26 different topic areas—the largest number of YFA research areas ever solicited.
September 26, 2016,
DARPA Conference Center
DARPA’s Strategic Technology Office (STO) will host a Proposers Day conference on the Aerial Dragnet on September 26, 2016, at the DARPA Conference Center, 675 North Randolph Street, Arlington, Virginia, from 12:00 PM to 6:00 PM (EDT). The purpose of this conference is to provide information on the Aerial Dragnet program, promote additional discussion of the topic Aerial Dragnet is addressing, and address questions from potential proposers.
Airspace for the flying public today is perpetually congested yet remarkably safe, thanks in no small part to a well-established air traffic control system that tracks, guides and continuously monitors thousands of flights a day. When it comes to small unmanned aerial systems (UAS) such as commercial quadcopters, however, no such comprehensive tracking system exists. And as off-the-shelf UAS become less expensive, easier to fly, and more adaptable for terrorist or military purposes, U.S. forces will increasingly be challenged by the need to quickly detect and identify such craft—especially in urban areas, where sight lines are limited and many objects may be moving at similar speeds.
Certain natural processes perform par excellence computation with levels of efficiency unmatched by classical digital models. Levinthal’s Paradox illustrates this well: In nature, proteins fold spontaneously at short timescales (milliseconds) whereas no efficient solution exists for solving protein-folding problems using digital computing. The Nature as Computer (NAC) program proposes that in nature there is synergy between dynamics and physical constraints to accomplish effective computation with minimal resources.