Inside Unmanned Systems

OCT-NOV 2017

Inside Unmanned Systems provides actionable business intelligence to decision-makers and influencers operating within the global UAS community. Features include analysis of key technologies, policy/regulatory developments and new product design.

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AIR APPLIED SCIENCE 54 unmanned systems inside October/November 2017 Localization Another challenge is enabling the drones to determine their precise location. "The drones are prone to localization errors, which in turn can impact the accuracy of imaging," Mostofi said. Drones typically use GPS for localization, the accuracy of which is not adequate for high- quality imaging. Instead, the researchers used drones equipped with off-the-shelf Google Tango tablets, which use various onboard cameras and sensors to capture data of their surroundings and localize themselves, Mostofi said. Using Tango, the accuracy of the drones' localization was off by an average of only about 4.5 millimeters. The range at which WiFi imaging can work depends on the number of objects blocking the signals and the materials from which they are made. Left: Top view of the 3-D area of interest, Middle: the 3-D binary ground-truth image of the unknown area to be imaged, which has the dimensions of 2.96 m x 2.96 m x 0.4 m, and Right: the reconstructed 3-D binary image using the proposed framework. Area of Interest– Top View 3-D binary ground-truth image of the unknown area to be imaged (2.96 m x 2.96 m x 0.4 m) 3-D image of the area, based on 3.84% measurements Area of Interest– Top view 3-D binary ground-truth image of the unknown area to be imaged (2.96 m x 2.96 m x 0.5 m) 3-D image of the area, based on 3.6% measurements Left: Top view of the 3-D area of interest, Middle: the 3-D binary ground-truth image of the unknown area to be imaged, which has the dimensions of 2.96 m x 2.96 m x 0.5 m, and Right: the reconstructed 3-D binary image using the proposed framework. Path Planning for Optimum Antenna Positioning Approximated Wave Modeling Markov Random Field Modeling to Capture Spatial Dependencies Taking Advantage of Sparsity Key components of the proposed approach for 3-D through-wall imaging. An overview of the experimental testbed. " ONE MAIN MOTIVATION FOR US TO USE WIFI SIGNALS IS THE FACT THAT (WiFi) IS SO UBIQUITOUS." Yasamin Mostofi , professor, University of California at Santa Barbara "For instance, brick or concrete walls will attenuate the signals significantly more than wooden walls," Mostofi said. They found the drones could generate 3-D images of objects inside the brick structure w ith roughly centimeter-scale resolution. "We hope to enable imaging of larger, more complex areas in the future," Mostof i said. "If the area is ver y large, you can deploy more than two nodes to increase the overall range." The scientists detailed their findings in April at the A ssociation for Computing Ma ch i ner y/Inst it ut e of E lec t r ic a l a nd Electronics Engineers International (ACM/ IEEE) Conference on Information Processing in Sensor Networks in Pittsburgh. WiFi Router on TX UAS Raspberry Pi and WiFi Card on RX UAS TX UAS RX UAS TX Tango RX Tango Communication for Coordination

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