{"351591":{"#nid":"351591","#data":{"type":"news","title":"Smaller lidars could allow UAVs to conduct underwater scans","body":[{"value":"\u003Cp\u003EBathymetric lidars \u2013 devices that employ powerful lasers to scan beneath the water\u0027s surface \u2013 are used today primarily to map coastal waters. At nearly 600 pounds, the systems are large and heavy, and they require costly, piloted aircraft to carry them.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EA team at the Georgia Tech Research Institute (GTRI) has designed a new approach that could lead to bathymetric lidars that are much smaller and more efficient than the current full-size systems. The new technology, developed under the Active Electro-Optical Intelligence, Surveillance and Reconnaissance (AEO-ISR) project, would let modest-sized unmanned aerial vehicles (UAVs) carry bathymetric lidars, lowering costs substantially.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EAnd, unlike currently available systems, AEO-ISR technology is designed to gather and transmit data in real time, allowing it to produce high-resolution 3-D undersea imagery with greater speed, accuracy, and usability.\u003C\/p\u003E\u003Cp\u003EThese advanced capabilities could support a range of military uses such as anti-mine and anti-submarine intelligence and nautical charting, as well as civilian mapping tasks. In addition, GTRI\u2019s new lidar could probe forested areas to detect objects under thick canopies.\u003C\/p\u003E\u003Cp\u003E\u0022Lidar has completely revolutionized the way that ISR is done in the military \u2013 and also the way that precision mapping is done in the commercial world,\u0022 said Grady Tuell, a principal research scientist who is leading the work. \u0022GTRI has extensive experience in atmospheric lidar going back 30 years, and we\u0027re now bringing that knowledge to bear on a growing need for small, real-time bathymetric lidar systems.\u0022\u003C\/p\u003E\u003Cp\u003ETuell and his team have developed a new GTRI lightweight lidar, a prototype that has successfully demonstrated AEO-ISR techniques in the laboratory. The team has also completed a design for a deployable mid-size bathymetric device that is less than half the size and weight of current systems and needs half the electric power.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EMeasuring Laser Light\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003ETo simulate the movement of an actual aircraft, the prototype must be \u0022flown\u0022 over a laboratory pool. To do this, the researchers install the lidar onto a gantry above a large water tank in Georgia Tech\u2019s Woodruff School of Mechanical Engineering and then operate it in a manner that simulates flight.\u003C\/p\u003E\u003Cp\u003EThe lidar utilizes a high-power green laser that can penetrate water to considerable depths. Firing a laser beam every 10,000th of a second, the proxy aircraft allows the team to study the best methods for producing accurate images of objects on the floor of the pool.\u003C\/p\u003E\u003Cp\u003EThe ultimate goal is to obtain accurate reflectance from the sea floor, but the presence of water makes that difficult. To capture good images, the GTRI lightweight lidar must make a series of adjustments that let it measure reflected laser beams as if there were no water present.\u003C\/p\u003E\u003Cp\u003EOne challenge is that when a tightly focused light beam such as a laser hits water, it loses speed and bends, a familiar underwater effect called refraction. Due to changes in the water\u0027s surface, the angle of refraction varies constantly, and these changes in the refracted angle must be accounted for when computing the path of the light.\u003C\/p\u003E\u003Cp\u003EAnother challenge is that the photons in the laser beam scatter in the water, like light from a car headlight hitting fog. The amount of this scattering depends on the water\u2019s turbidity, which refers to the number of particles suspended in it. In addition, the water absorbs some of the light.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EBecause of these two effects, a lidar system receives back only a tiny signal when its laser beam bounces off an underwater surface such as the sea floor. The signal-conditioning and sensor-processing capabilities of the lightweight lidar must be sophisticated enough to detect that small returning signal in an overall sea and air environment that is very noisy \u2013 meaning that it\u0027s filled with extraneous signals that interfere with the desired data.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EImproving Critical Techniques\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EThe ultimate product of a bathymetric lidar is a three-dimensional point cloud that describes the seafloor at high spatial resolution. Users of these data need to know the accuracy of each point.\u003C\/p\u003E\u003Cp\u003EGTRI\u2019s researchers have devised a new approach for accuracy assessment called total propagated uncertainty (TPU). Using statistics, calculus, and linear algebra, the TPU technique propagates errors from the individual measurements \u2013 navigation, distance, and refraction angle \u2013 to estimate the accuracy of sea-floor measurements.\u003C\/p\u003E\u003Cp\u003EIn a major milestone, the GTRI team was the first to demonstrate bathymetric lidar coordinate computation and TPU estimates in real time. To achieve the necessary processing speed, the team employs a mixed-mode computing environment composed of field programmable gate arrays (FPGAs), along with central-processing and graphics-processing units.\u003C\/p\u003E\u003Cp\u003EEach time a laser is fired, Tuell explained, it takes only a few nanoseconds for the beam to reach the bottom of the pool and bounce back. Once the beam returns, the lidar\u0027s high-speed computer digitizes the returned beam and computes ranges, coordinates, and TPU before the next shot of the laser.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u0022In our laboratory tests, we\u0027re computing about 37 million points per second \u2013 which is exceptionally fast for a lidar system and gives us a great deal of information about the sea floor in a very short period of time,\u0022 Tuell said. \u0022The key is we\u0027re using FPGAs to do the necessary signal conditioning and signal processing, and we\u0027re doing it at exactly the time that we convert from an analog signal to a digital signal.\u0022\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EA Deployable Design\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EIn addition to developing the proof-of-concept lidar prototype, the GTRI team has produced a CAD design for a deployable bathymetric device that is half the size and weight of current devices and has lower power needs. The immediate goal is to field such a mid-size device on a larger UAV such as an autonomous helicopter.\u003C\/p\u003E\u003Cp\u003EThe longer-term aim is to use AEO-ISR technology to develop bathymetric lidars that could fly on small UAVs with payloads of 30 pounds or less. To help these lidars deliver maritime surveillance and mapping data in real time, most of the necessary signal processing would be done on the aircraft and only essential data would be transmitted to ground stations.\u003C\/p\u003E\u003Cp\u003E\u0022We\u0027ve provided a prototype that demonstrates the key technology, and we\u0027ve completed a design for a mid-size design,\u0022 Tuell said. \u0022In the future, we believe small bathymetric lidars will perform military tasks, and also civilian tasks such as county-level mapping, with increased convenience and at greatly reduced cost.\u0022\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EResearch News\u003C\/strong\u003E\u003Cbr \/\u003E\u003Cstrong\u003EGeorgia Institute of Technology\u003C\/strong\u003E\u003Cbr \/\u003E\u003Cstrong\u003E177 North Avenue\u003C\/strong\u003E\u003Cbr \/\u003E\u003Cstrong\u003EAtlanta, Georgia\u0026nbsp; 30332-0181\u0026nbsp; USA\u003C\/strong\u003E\u003Cbr \/\u003E\u003Cbr \/\u003E\u003Cstrong\u003EMedia Relations Contacts\u003C\/strong\u003E: Lance Wallace (404-407-7280) (\u003Ca href=\u0022mailto:lance.wallace@gtri.gatech.edu\u0022\u003Elance.wallace@gtri.gatech.edu\u003C\/a\u003E) or John Toon (404-894-6986) (\u003Ca href=\u0022mailto:jtoon@gatech.edu\u0022\u003Ejtoon@gatech.edu\u003C\/a\u003E).\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EWriter\u003C\/strong\u003E: Rick Robinson\u003Cbr \/\u003E\u003Cbr \/\u003E\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EA team at the Georgia Tech Research Institute (GTRI) has designed a new approach that could lead to underwater imaging lidars that are much smaller and more efficient than the current full-size systems. The new technology, developed under the Active Electro-Optical Intelligence, Surveillance and Reconnaissance (AEO-ISR) project, would let modest-sized unmanned aerial vehicles (UAVs) carry bathymetric lidars, lowering costs substantially.\u0026nbsp;\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Georgia Tech researchers have designed a new approach that could lead to underwater imaging lidars that are much smaller and more efficient than the current full-size systems."}],"uid":"27303","created_gmt":"2014-12-03 14:45:51","changed_gmt":"2016-10-08 03:17:37","author":"John Toon","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2014-12-03T00:00:00-05:00","iso_date":"2014-12-03T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"351541":{"id":"351541","type":"image","title":"Green laser of lightweight lidar system","body":null,"created":"1449245714","gmt_created":"2015-12-04 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