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Allen Bento Professor John Board Cloud Computing 26 April 2016
Drones: A Computing Platform of The Future?
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Introduction and Overview Since the concept of Unmanned Aerial Vehicles (UAV) or Unmanned Aerial Systems (UAS) was first introduced, when the term “drone” became the primary adopted name for them, we are now finding that this technology has undergone considerable improvement. Now the more official designations are UAV and UAS. UAV should refer to the vehicles themselves that travel in the air, while UAS should be broader in scope to include not only the UAV, but also any infrastructure and/or systems that manage them as well as any other devices involved in the entire system such as controllers. The stigma associated with the former identifier, “drone,” which is still used by many outside of its radius of interest, should seem unfitting by now to those within its circle. Perhaps a new name is what it needs to dissociate it from its negativity, and they may indeed see many new names as the vast array of their applications and market continue to broaden. The market’s rate of growth, which seems speedy at present, makes the delayed acceptance by the general public into everyday life somewhat understandable. The realization of most about just how far this technology has come is quite far behind the technology itself, but those of the increasingly prevailing belief in UAV know why their popularity is on the rise. Companies who see a niche for themselves somewhere in the drone market, currently coming into form before us, are making their move toward this promising direction. Many of them see success in the form of partnership with other companies. Drones are at the intersection of many paths of advancing technology, so joining with another company to move into the drone space could prove advantageous for all parties involved. Why are companies branching out into the realm of drone technology? With the many applications for drone technology in various industries, companies are looking to position themselves on the cutting edge of this newly rising industry, and by combining the capabilities of cloud technology with the versatility of what drones can do, the sky is the limit as far as what uses can be found for these powerful machines. According to a report by Business Insider, the growth of the market for civilian drones is not waiting for government policy on the matter to be firmed up, and neither are the companies from various industries that are pouring out investment and effort into developing this
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new market. They project that the market for civilian drones should grow by a compound annual rate of 19% from 2015 to 2020. They expect greater growth here than on the military side of 5% during that span. (See Figure 1) NASA and the FAA Looking to Manage the Rapid Growth of Drones by Managing the Air They Fly In While companies in the market do their best to exercise foresight in what will be most lucrative for their own businesses, many of them by partnering up with other companies, the organizations and agencies to whom drones are equally relevant are hurrying to do their part to keep pace with this market. For some people, images of robots crowding the sky above may be invasive thoughts swaying their hearts away from this trend of growing popularity, but the National Aeronautics and Space Administration and the Federal Aviation Administration are two key players teaming up in an effort to manage the appearing reality of what was once just a futuristic dream. What originated as a negative image for some may see increased adoption as people learn how safe and beneficial these flying robots can be in their personal lives. Safety is one concentrated effort among several that NASA and the FAA are collaborating in and it is the motivation for the Safe Autonomous Systems project. NASA has demonstrated its willingness for collaboration by issuing a call last year to all government, industry, and academic partners to join them in identifying research areas and conducting the research necessary to accelerate development of a UAS management system. It looks to specifically develop a cloud-‐based unmanned aircraft traffic management (UTM) system. The goal of this system is to collect and deliver key information to UAS and their operators while it is in flight and to do so, as much as possible, in real time. As set forth in a tech brief from NASA entitled ‘Drone Control: Flying the Crowded Skies,’ one of NASA’s goals in working with others to develop UTM is that it would “bridge the gap between commercial innovation and NASA’s air traffic management research.” By working together with companies that provide their own vehicles, radar, radio frequencies, and cellphone towers, NASA is gaining exposure to much of the technology being used already. They believe this should help them make the use of their UTM system more enterable for the companies driving innovation. This project is actually well underway, as NASA was able to complete a successful demonstration of UTM in a rural setting near the end of last year. The step following this is to run other tests and simulations at FAA test sites to further validate the system. Since collaboration with other companies began, NASA has been discovering that many of its challenges are already being addressed. One of its collaborators has developed a system that checks a UAS’s battery life while surveying the surrounding terrain. This could alleviate the concern of a UAS running out of power at the wrong place and the wrong time. Another is working on a database designed to keep UAS away from private residences. As with many powerful tools being used for the
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wrong purposes, this would deter those who would abuse the use of drones, especially from using it as a means of enabling their eyes to see beyond what they should. This is one of the common causes of apprehensiveness among those of the general public. It would also address the key issue of safety. Along that vein, other companies have launched prototypes for low-‐altitude tracking and avoidance systems. As long as such technologies are approved according to federal requirements, NASA looks to bolster up its own ongoing work by assimilating all the current research already in progress. Cellphone tower technology may alleviate one of the greatest challenges behind integrating UAS into the National Airspace (NAS), especially for cases where UAV navigate outside of the line-‐of-‐sight of its operator. NASA is working with Verizon to search out how well a cellphone tower can track and monitor both civilian drones and commercial drones. This could set the foundation for a system that enables all aircraft to see and be seen by other aircraft, especially at low altitudes. NASA’s overall work in traffic management seeks to enable such low-‐altitude use of UAV by providing pilots information needed to maintain proper separation from other UAV. The vision for this system involves drones reserving areas for specific routes through the cloud while accounting for restricted airspace and weather conditions. Engineers are at work to develop the cloud-‐based software tools for UTM and are doing so according to a four level plan, spanning from the present time until 2019, giving NASA what it considers to be ample time for completion. The levels are progressive and each level will have had its foundation laid by the work done in the level before it. Level one, which focuses on rural environments, would implement the reservation of areas for flight paths of specific operations with situational awareness. Level two, projected for October of this year, will advance to address applications that go beyond the line-‐of-‐sight of the drone operator, and will be carried out mainly in areas with sparse populations. Level three will involve a shift toward UAS tracking capabilities, of both cooperative UAV and uncooperative UAV. In keeping with the trend of its preceding stages, it will progress into even more populated areas, and is planned for January of 2018. And finally level four, projected to become fully functional in 2019, will be designed for densely populated areas and for autonomous vehicles with a view toward the specific applications of news coverage and delivery of goods. The Langley Autonomy and Robotic Center (LARC) at Langley Research Center in Hampton, Virginia is home to NASA engineers working to perfect drone control systems. Engineers at Langley are essentially trying to improve the drones themselves and the control system of the skies they travel while the FAA is sorting out regulations facilitating the increase of drone use. The FAA’s efforts to do so are well demonstrated by one of the recent steps forward, which came in December of 2015, when it determined that all owners of drones weighing between a half-‐pound and 55 pounds, and who are 13 years of age or older, must register their drone online with the FAA. So to meet the growing need, NASA has assembled engineers, who have decades of experience developing safe and robust systems used in cockpits and satellites, in the hope that the same fervency and knowledge can be
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applied in this area to produce an equally safe and robust system for the UAS. Other engineers at Langley are taking advanced measures toward the restriction of certain areas of airspace, as referred to earlier, and will eventually employ Safeguard in that endeavor, a prototype small enough to mount on a small drone and a further advancement of geo-‐fencing already being used in some commercial drones. This is to keep drones out of “no-‐fly zones.” Among the other technologies being developed and applications being specifically targeted for research are hand and gesture control systems and services including spotting wildfires, algae monitoring, and weather forecasting. The weather forecasting in this case would not be solely for flight control purposes but also for the sake of weather forecasting itself. Other Langley personnel are already working on technology to integrate drones large enough for human cargo into air transportation. Before this could happen, they must be in compliance with FAA regulations to reliably detect the presence of other aircraft and avoid them. This is one of the most challenging projects that those at Langley are working on. While drones do not have much deficiency in the collection of data through various sensors, what is hard to replicate is the function of a pilot’s eyes to process the information gathered and know how to act accordingly. This application may not see public acceptance immediately, especially as the idea of an autonomous robot transporting people by air is a foreign concept and unlikely to warrant much trust at its initial inception. But NASA has a dedicated team specifically working toward this, called the Sense and Avoid/Separation Assurance Interoperability (SSI) team. NASA sees what it believes are the initial stages of a framework to keep UAV clear of other aircraft. This team is working on detect-‐and-‐avoid algorithms, specifically, the DAIDALUS algorithm or Detect and Avoid Alerting for Unmanned Systems algorithm. What is notable about DAIDALUS is that it not only passively relays data it has collected, but also devises escape routes to specifically avoid objects drawing near and relays those to the operator. The FAA would require that DAIDALUS-‐operated UAV keep well clear of other flying objects, even up to the standard that air traffic controllers would consider to be a comfortable distance. The difficulty is that engineers developing the software for these systems cannot quantify the FAA’s standards in order to design it according to such standards. Even for the FAA to provide a quantifiable definition of their standard of safe distance would not be an easy task, for to do so would come as the result of concrete studies that ensure that the data they provide actually reflects what is safe. Much to the relief of an already busy FAA staff, NASA has done this research themselves. They have also provided the results to the FAA, a contribution that has significantly furthered the FAA’s development of Minimum Operational Performance Standards for UAS, according to Keith Arthur, a co-‐project engineer at Langley. The results include what those air traffic controllers involved in the study considered to be comfortable distance for clearance. The vertical clearance was defined as 500 feet, and the horizontal, as approximately 1.5 nautical miles. “NASA has taken a nebulous concept – well clear – and come up with an elegant
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mathematical solution for it that can be implemented in software,” Arthur said. This facilitates the development of software with bounds set according to clearly defined metrics that have been validated through actual testing simulations. Langley has not concluded their testing though. At Langley’ s Air Traffic Operations Lab (ATOL), researchers are using simulated airspace to test whether UAV equipped with detect and avoid capabilities and aircraft manned by persons aboard the craft can be managed in the same airspace by an air traffic controller, an even further step toward integrating UAS into National Airspace. After attending those simulations as an eye witness, Ed Waggoner, the director of NASA’s Integrated Aviation Systems Program Office and the one who oversees UAV integration into National Airspace, has made impressive remarks about his observations. Indeed Waggoner renders his own endorsement of the work done at ATOL, saying “what they showed me was something that provides the pilot precise decision support information and I truly believe this technology can work in our National Airspace.” Waggoner sees the progress of integrating UAS into National Airspace as “what’s happening in aviation right now.” Lauding the team’s contribution and key role, Waggoner said, “We’re providing the research for [the regulators at the FAA], to make the rules that are going to make the skies safe for the commercial application of UAS.” Intel and Qualcomm, Two Prominent Chip Companies Making Their Move into Drone Space Companies such as Intel and Qualcomm are moving into the drone space and are among the more prominent tech companies who have made a move toward drones. While Qualcomm has plans to expand into this realm by building its own drones, Intel has acquired a German drone-‐making company, Ascending Technologies, and this comes on the heels of a 60-‐million-‐dollar investment for a stake in a Chinese drone-‐making company, Yuneec. Its partnership with Ascending Technologies forms a “dynamic duo” that is creating quite a “buzz” these days in the tech business world. Ascending Technologies, a company already well known in the drone world as a leading developer/manufacturer of autopilot systems, unmanned aircraft systems, and multi-‐rotor technology, has already left its footprint in a few areas of application, particularly civil and research. It may well be remembered as the first to set the bar in producing light paintings in a fully automated fashion. (See Figure 2) This nifty trick is carried out through the
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use of a flight planning software called AscTech Navigator, which can drive an AscTec Falcon 8, a patented V-‐form drone equipped with a mounted LED, to carry out its flight path autonomously. A camera which is set to leave its shutters open for long exposure then captures the flight of the drone on video, leaving glowing trails along its flight path, creating a “painting” in the form of its flight path which appears as a vector-‐like drawing or the spelling out of a readable message. The “painting” is made by the drone’s flight path. Intel certainly envisions many more applications that it can develop technology for with the addition of Ascending Technologies. Intel had already begun working to combine two of its own technologies, its sense-‐and-‐avoid algorithms with its depth-‐sensing technology, called RealSense. RealSense technology combines hardware and software to allow cameras to sense depth, giving drones “computer vision,” the ability to process images. Having joined forces with Ascending Technologies, a company that has begun a pioneering work in both sensor data and flight altitude control, seems to have promising possibilities. Ascending Technologies, already at the forefront of autopilot software and algorithms for its drones, being added to the team should help Intel deploy their depth-‐sensing technology into the drone market. The collaborative effort between the existing employees at Ascending Technologies and Intel’s Perceptual Computing team has Josh Walden, Intel’s general manager for their new technology group, confident that the team will “develop UAV technology that can help drones fly with more awareness of their environments.” Seeing the usefulness of such a benefit in a variety of applications plus the current rate of growth in this market, indications are that now is a good time to have a player like Ascending Technologies on your team. Such hefty investments and bold moves by leading chip companies in the direction of drone space have both drawn great interest and turned the heads of other companies, leading them to consider what the fuss is about and whether they too should make a preemptive move in the direction of drone space. Many chip companies will likely follow in this train as they see the opportunity to become technology suppliers in the emerging industry of drones. What then is all the fuss about, causing companies to go this way? Walden, sees drones as an important computing platform of the future. With Ascending Technologies coming into the picture, Intel has plans to produce highly efficient drones, capable of producing high-‐resolution aerial images of a wide variety, from stills and videos to thermals, and multispectrals. They can also capture geo data and be quite useful in research and development. Intel is a company that has undoubtedly made a name for itself in the PC business, but that market is cooling off, leading them and companies like them seeking to apply their technology elsewhere. Intel and Qualcomm alike would be looking for other buyers of its processors. Drones have various practical applications, and many more to be fathomed at some time along the way, but some of the more prominent applications now drawing focus for further development are disaster response, infrastructure inspection, and among the more talked-‐about though still a way off, is the transportation of goods. With these in view and more to pop up in the future, companies like Intel are
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looking to also integrate multiple technologies like computing, communications, sensors, and the cloud. This will help make drones both smarter devices and able to work better together as one fleet. Companies such as Qualcomm and Intel are indeed blazing the path for other tech companies into a slew of possibilities. In 2015, Qualcomm unveiled a new technology called Snapdragon Flight, a system kept on a chip that was designed specifically for flying robots. The chip contains a 2.26 GHz quad-‐core processor that runs on digital signals providing real-‐time flight control, as well as WiFi, Bluetooth, and GPS capabilities. They revealed plans to produce a modified version of the Snapdragon chip specifically for drones. This technology has also drawn the attention of Chinese company, Yuneec. Yuneec and another Chinese company Tecent Holdings Limited, both in the drone-‐making business have announced plans to build drones based on Snapdragon Flight. Qualcomm envisions that with such technology actuating them, drones will become something seen nearly everywhere in the near future. After its entrance into the drone market with the launch of Snapdragon Flight in September of 2015, it now looks to assert itself as a benchmark in the industry by developing this as a standard platform for many drone makers. One company that Qualcomm is expected to face competition from as they enter the drone chip market space is Ambarella, a company holding the advantage of being the first to enter the space. Ambarella makes image application processors for two prominent occupants of drone space-‐ market leader DJI Innovations from China and action camera maker GoPro. However, speculation holds that GoPro is planning to use Qualcomm’s Snapdragon Flight platform rather than Ambarella’s chipset in building a camera drone device, Karma. This will be the advent of such devices for GoPro, and they are set to launch this year. One of the key factors of this favoring of Qualcomm’s platform is its 4k camera support and extended battery life at a reduced cost. Ambarella’s market cap of $1.3 billion compared to Qualcomm’s share buy-‐back program in 2015 worth $15 billion even makes Ambarella a potential acquisition target for Qualcomm. Intel will of course stand as a formidable rival to Qualcomm, but drones having not seen widespread adoption up until now gives Qualcomm legitimate hope to capture a large portion of the market for chipsets in drones. In the early stages of this industry’s growth, competition between companies drives them each to establish themselves through creativity in innovation. Many should enter this competition as time goes on and more applications are discovered that drones are well suited for. Even chip maker, Nvidia has developed the Jetson TX1, a tiny computer with the capacity to do machine learning, a good example of computing onboard the UAV itself. So it is only a matter of time before drones become compact enough to use more powerful technology in applications already being used as well as new applications. Applications For the Foreseeable Future and Beyond One area certainly in view for the short term is the already growing market for consumer drones used for photography. At the current time there seems to be no
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shortage of people taking photographs, making this one of the more immediate areas in view for chip companies going this way. This both points to a work that Qualcomm is doing to mitigate a potential problem area and the very relevant business angle of the subject-‐ lowering cost for people to actually buy your product. Multiple chips are needed to handle the tasks of photography, navigation, and communications. This adds to the bulk and subsequent cost of today’s consumer drones. One of Qualcomm’s Snapdragon 800 is able to do all of these. A typical consumer drone today would contain radio antennae, a camera, and some sensors separately packed into it. Qualcomm is looking to counter the problem this poses by an initiative involving collaboration with a start-‐up mentorship program-‐ Techstars. The collaboration is called Qualcomm Robotics Accelerator. Following the pattern of smartphones’ and computers’ miniaturization during their own times, the goal of this collaboration is “to kickstart the next wave of innovation by removing points of resistance” according to its leader Houman Haghighi. This is the “other side of the coin” in business besides simply making things more powerful and capable. Qualcomm has put this initiative into motion by inviting 10 startup companies to move onto its San Diego campus for the summer with plans to invest more than $100,000 in each of the 10 start-‐ups that were carefully selected after evaluating applications from 40 different countries. The range of work among the companies includes an application in law enforcement, long-‐range flight, and drone charging stations. Two companies have robots that move things, one through a computerized dolly and the other through a motorized arm. The work being done by the different companies is various. One is working on such a practical use as a solar-‐powered light that tracks the sun’s movement to maximize efficiency while another is developing new software to further develop robots, just to name a few. By such a careful selection process and specific areas of focus, it is evident that Qualcomm has special plans with drones. With current entry-‐level drones going for about 500 dollars, Senior Vice President of Product Management at Qualcomm, Raj Talluri, believes they “should be able to bring the cost of drones down significantly.” Actually those at Qualcomm believe the cost of drones can be cut by hundreds of dollars. This kind of consideration poses the real question companies are asking themselves-‐ will the average person have the means and willingness to pay for such a product? There is little doubt that these “chip giants” can produce a drone capable of doing awesome things. In fact, the company itself as a whole is in the midst of an effort to cut $1.4 billion in annual operating expenses as well as to reduce the size of its workforce by 15 percent. This view is another that Talluri touched upon in an interview in which he discussed opportunities for taking Qualcomm’s technology into new areas. Though scaling back costs is in its plans, Talluri assured that Qualcomm is “not scaling back on those kinds of things.” It would be surprising to discover that chip companies don’t already have their eyes on future auto industry applications. Autonomous drones are being equipped with much of the fundamental technology that would apply to driverless cars. Computer vision must be incorporated with artificial intelligence, as well as the capacity for positioning and navigation. The sooner companies can develop and test these things
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in the real world, the sooner we may see an entirely new line of business take off the ground. A Comparative Look at Air and Ground Transportation and the Times in which They Emerged Since the rise of automotive technology and the subsequent development of a ground transportation infrastructure to harness this technology, companies at the forefront of innovation have been able to learn from the several decades of the automotive industry’s progress. Perhaps due to the lack of a former point of reference and the absence of necessary technology up to that point, the infrastructure to maximize efficiency and safety in ground travel is not widely seen today. Not that it couldn’t still be developed, but the implementation of a way of autonomous transportation is comparable to reversing the direction of a very large ship, so it would be difficult to recover this opportunity with ground travel in a swift manner given the current system in place. Although there is the technology and vision for such a system is in sight, most drivers would not want to relinquish their freedom to man their own automobiles, so only certain elements of an entire system of great potential are emerging in the automotive industry. Cars that have the ability to detect the danger of oncoming objects and automatically apply the brakes and cars that can parallel-‐park themselves just provide a window into how these technologies are starting to make their way into this industry. Though automotive companies lacked the foresight to lay a foundation for such an infrastructure, it is feasible that automobiles could be increasingly plugged into a cloud where their ground travel would be integrated with other moving vehicles, resulting in a harmonious world of moving ground traffic, a more efficient and safer system of travel achieved through the elimination of human error and reaction time. This seems to be where the general trend is leading and with a little help of our imagination and the technology we see being used in both this and flying drone applications, we can extrapolate upon our view of automobiles and see the potential of a fully automated system with cars including all of these new abilities, making ground travel both more efficient and safer. However, such a transition would likely occur slowly. It will be interesting to see whether the innovators at the dawn of a potential era of common air transportation will exercise more foresight than their ground transportation predecessors. The arrival of travel by air on the scene of human technology has been different from that of travel by ground though in a few key ways. For one, air travel, given the inherent risks associated with it along with the greater skills involved in operating a plane have made air travel more special and more of a luxury than a common commodity for every-‐day use by the average person. Thus the use of aircraft has been limited mainly to military and commercial applications usually for transporting larger amounts of cargo greater distances at a time. But with UAV now arriving on the scene, we could be on the brink of not only a breakthrough in various applications with commercial industries, but even our typical way of travel
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could end up being totally revolutionized by the time this industry’s growth blossoms into fruition. If the race toward establishing a standard platform for automated aerial flight control is reached and especially if it is reached in such a way that drones can carry out their missions autonomously without the control of humans or with at least limited human monitoring, we could see not only a significant boom in the use of drones for various commercial applications but UAS could even pave the way for a system of travel that all but replaces that of ground automobiles. If such speculations have any basis in reality, then the current stage may be a very pivotal one, and how autonomous air travel infrastructure is established here at the outset could set the course for its future in one direction or the other. By virtue of the increased efficiency alone, people may be forced to jump on the air-‐travel bandwagon for most of their everyday travels, if such an infrastructure is successfully created. Due to the speed of planes over vehicles that roam the ground, air travel is smoother and more efficient. Furthermore, there is more airspace for transportation than ground space. Many countries are encountering the problem of a lack of space to accommodate the number of cars on the road and seeking immediate solutions to this problem. (See Figure 3) Furthermore, there is no need to add new “lanes” for air travel, only to build the computing infrastructure that would set the governing boundaries for these vehicles’ flight travel, a building work
whose limitations lie only in the steps of innovation. If innovators now exercise foresight, looking into the future of air travel, the stage could be set for efficient air transportation that is totally autonomous, even though we are not quite at the cusp of such
an era. This could end up being the only means through which people fly, besides existing commercial airline travel with trained pilots, by virtue only of how risky it is to allow people to operate aerial vehicles. When these factors are combined with the efficiency that would result from computers being in control of aircraft rather than humans, we could see a monumental shift in the way people transport themselves. In light of the possibilities explored about autonomous ground travel, and given that drones, by definition, encompass more than just unmanned aerial vehicles, we may have only seen the beginning of the spawning of ideas for how drone technology can change the world of transportation as we know it.
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The Usefulness of Cloud Technology Being Employed with Drones Companies are also looking into the possibilities of a cloud-‐based service capable of managing and planning UAV missions. Cloud Robotics is an emerging paradigm where robots are able to connect to a common network with an infrastructure complex enough to share the information they gather or to consume the data collected. This technology opens up the possibility for one to have their “presence” in a place without being physically there, and especially for scenarios where this is advantageous for some purposeful use. This would not be the first time anyone has seen the duty of a person carrying out a certain task being replaced by a robot, a consequence of developing technology with the capability of performing human tasks, in many cases more effectively than the human. Greater efficiency makes for better business in most cases and if a robot can perform a task as well as, or better than a human, it will almost invariably be the more cost-‐efficient and often the more time-‐efficient too. For this reason, companies often favor this and will resort to this option. However, there are several applications where efficiency with respect to time and cost are not the only factors on the table for consideration, and ones in which other factors bear more weight in the discussion, also driving the implementation of the use of such robots. Thus in several applications in which drones are emerging as useful devices, an opportunity is emerging to carry out missions not so fitting for humans or even ones that humans cannot perform. One example of this is the use of cloud-‐based systems for emergency response in wake of a disaster. In the event of a disaster, it may be very difficult for officials to respond with ample immediacy, but a Quadrotor UAV, for example, can go places that humans cannot go or at least that humans cannot navigate about quickly and easily. A drone can provide a perspective of a situation outside of the line-‐of-‐sight of human responders, and it can locate people in need of help and provide their exact location, directing search and rescue missions toward places they are truly needed. In some cases it can even bring useful resources to those in need. A cloud platform can manage several UAV that provide support to those citizens per request through a mobile app dedicated for such use. The requested UAV would reach the citizen and provide video streaming over the cloud to some privileged user connected to the same cloud platform. The same information gathered by video or other sensors can be accessed via smartphones, thus the addition of a cloud-‐based platform for UAS can make entire cities “smart” and more connected, especially connecting people to the help they need in some situations.
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A very similar platform has been proposed for emergency services provided to civilians in need within a city in the event of criminal activity. According to this idea, a user would first request the service that is immediately forwarded to the platform. The platform would transform and translate the request into a mission. Then, depending on the nature of the request, the message would be sent to either a single UAV or a swarm of them. In a paper formally proposing such a service by ResearchGate, two interfaces are introduced-‐ one on the user side for requesting help from a UAV by providing GPS coordinates with a phone ID and one for the police to monitor and manage the situation accordingly. The first interface, an Android mobile app, would send the relevant information over HTTP protocol through a GET request. The second would allow someone in the police force to access all information made available by the UAV, collected by telemetry and video streaming over the web. The web page shows the actual location of the UAV on a map plus such useful information as the estimated remaining time and distance for the mission. (See Figure 4) The cloud platform to connect these interfaces consists of three layers -‐ a Front End layer, Application layer, and Adaptation layer. The Front End contains Application Programming Interfaces (APIs) to build new services, the Application layer contains all the applications that support the APIs, and the Adaptation layer contains adapters and drivers, connecting robots and abstracting their functionalities to the applications and APIs. While ResearchGate is testing this architecture in a real smart city environment using LTE connectivity, other companies are joining together to develop cloud-‐based operations platforms of their own. Whether drones are a computing platform of the future is perhaps as sure or unsure as many other predictions of the future. Trends would suggest that the answer is Yes. What seems clear is that UAV themselves are becoming more powerful devices as the technology and computing power onboard the UAV are presently in a forward-‐moving process. Just as compelling are the emerging applications for drones in which moving computational functions to the cloud that connects them is greatly advantageous. Whether drones become the leading computing platform depends on a number of factors, many of which depend on other factors. It would depend significantly on how much the popularity of drones catches on. Could drones trump cellular phones as the “fad” of the next generation? It would seem that firstly drones would be used as complimentary platforms, many applications of drones
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involving some interface with cellphones. The answers to questions such as these could indeed depend on whether perceived future applications mesh well with current popular culture. It would not be shocking to soon see the capability for people to upload photos to Facebook directly from their drone. Such capability being included on a drone is definitely within the realm of feasibility. Maybe the opportunity to produce “the next Facebook” is in this very direction, if one could produce the first social media application designed specifically for this technology, and one that would catch on with today’s popular interests, it could draw very wide interest. Even short of becoming the next overwhelmingly popular trend of an entire generation, opportunities exist in the drone space, and the time to close in upon them is here.
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References n.p. “History of U.S. drones.” Photograph. Webshots. Understanding Empire. Web. 26 April 2016. n.p. “THE DRONES REPORT: Market forecasts, regulatory barriers, top vendors, and the leading commercial applications.” Business Insider. 27 May 2015. Web. 10 April 2016. Toscano, Michael. “THE DRONES REPORT: Market forecasts, regulatory barriers, top vendors, and the leading commercial applications.” Photograph. Webshots. Business Insider. 27 May 2015. Web. 10 April 2016. n.p. “DRONE CONTROL: Flying the Crowded Skies.” NASA Tech Briefs. Feb 2016. Web. 12 April 2016. Dave, Paresh. “10 drone and robot start-‐ups move onto Qualcomm campus for the summer.” LA Times. 28 May 2015. Web. 12 April 2016. Fried, Ina. “Qualcomm Looks to Enter Drone Market Before it Takes Off.” Recode. 20 Aug 2015. Web. 12 April 2016. Popper, Ben. “Intel acquires German drone company as it pursues aerial computing market.” The Verge. 4 Jan 2016. Web. 12 April 2016. n.p. “Intel Acquires Ascending Technologies!” Ascending Technologies. 4 Jan 2016. Web. 12 April 2016. Tilley, Aaron. “Intel Acquires Drone Company Ascending Technologies.” Forbes. 4 Jan 2016. Web. 12 April 2016. Trefis Team. “Why Is Qualcomm Banking On Drones And Automotive Communications?” Forbes. 14 Jan 2016. Web. 12 April 2016. Kennedy, John. “Intel recognizes drones as a computing platform of the future.” Silicon Republic. 5 Jan 2016. Web. 12 April 2016. Reuters. “Beijing still struggling to deal with traffic congestion.” Photograph. Webshots. South China Morning Post. 22 Aug 2013. Web. 26 Apr 2016. Chiaberge, Marcello. Ermacora, Gabriele. Bona, Basilio. Silvagni, Mario. “A Cloud Based Service for Management and Planning of Autonomous UAV Missions in Smart City Scenarios.” Springer Link. Sep 2014. Web. 12 April 2016.