3D Location- Based Services
Transcription
3D Location- Based Services
L White paper towards 3D location-based services Your business technologists. Powering progress Towards 3D Location-Based Services Geospatial information and its use for business have experienced a boom in the last few years. The field is currently making a shift from the classical 2D paradigm to a true 3D paradigm. This whitepaper discusses the most recent developments in 3D geoinformation and location-based services (LBS) and summarizes the challenges and opportunities for the coming years. About the Authors Edited by José F. Esteban-Lauzán, Head of Innovation at Atos, Coordinator of the ORCHESTRA and DEWS projects, and member of the Atos’ Scientific Community, Spain (jfernando.esteban@atos.net). Also based on contributions from: Óscar Morales, Ángel Palomares, and Guadalupe Rodríguez Díaz from the GEO Lab at Atos Research and Innovation, Spain. Prof. Miguel Ángel Bernabé at Universidad Politécnica de Madrid (UPM, Mercator Group); Dr. Denis Havlik at the Austrian Institute of Technology (AIT); David Overton at Eurogeographics; Dr. Thomas Usländer at Fraunhofer IOSB; and Graham Vowles at Bloxtore. The work of the teams of European Commission co-funded projects ORCHESTRA (FP6 Contract number 511678; http://www.eu-orchestra.org/), DEWS (FP6 Contract number 045453; http://www.dews-online.org/), SANY (FP6 Contract number 033564; http://sany-ip.eu/), GIGAS (FP7Contract number 224274; http://www.thegigasforum.eu) and EO2HEAVEN (FP7 Contract number 244100; http://www.eo2heaven.org/) should also be acknowledged. 2 Contents The Boom of GeoInformation Some Key Atos Projects 2D Location-Based Services Atos’ Vision and Future Directions 3D Location-Based Services Conclusions and References The reasons behind the growth of geoinformation usage in a variety of fields and the state of play today. Usage of geo-information in 2D models and an examination of their shortcomings. The introduction of 2.5D as an intermediate solution. A look at the challenges of 3D GISs and LBSs and an investigation into the work currently taking place and the open standards developed to facilitate development. Specific examples of 2.5D and 3D GISs and LBSs are given. Evidence of Atos’ extensive expertise in geospatial information management and locationbased services. Atos is a key player in geo-spatial information on a global scale and already has plans to take its work in a number of different directions, as explain in this chapter. A summary of issues and ideas covered in the paper and a list of sources for further reading. Use Cases and Business Opportunities A look at the areas for current and potential uses of 2.5D and 3D GISs and LBSs. Towards 3D Location-Based Services The Boom of Geo-Information Geo-information (or geo-spatial information) and geographic information systems (GISs) have experienced a boom in recent years. For centuries, humankind has used cartography (mapmaking) to represent the Earth – or portions of it – on a flat surface, in order to gain a better understanding of the world and to solve practical problems (navigation, exploration, planning, etc.). Maps and mapmaking have been progressively refined as the result of the evolution of the mathematical framework on which cartography is based and the development of instruments used to make measurements (magnetic compass, sextant, printing press, etc.). The advent of electronic computers and peripheral devices led to another revolution in the field of cartography in the 20th Century. But it was only in the late 1990s that geo-information began to appear in other fields. Today, geoinformation is widely used by billions of people around the world in their daily lives. In GIS, computer-aided design (CAD), and dedicated applications, geo-information is currently being produced and consumed at a rate never experienced before. It is used in a wide range of applications covering a wide spectrum of sectors and businesses: infrastructure management, risk and emergency management, marketing, business planning, logistics, urban planning, resource management (oil, gas, mining, etc.), and more. Geo-information is also a cornerstone of future applications as it makes it possible to establish location, which is one of the key dimensions of context. Geo-information is an integral part of the way we understand the world. Geo-information is here to stay; it has become an integral part of the way we understand the world. However, it is not free of challenges. This whitepaper focuses on the challenge of 3D. Although the most apparent milestone for its popularity is probably the release of Google Earth in 20051, there are several drivers that made the boom possible, such as the Internet, increasing storage and computing capacity, distributed computing, service-oriented architectures (SOAs), openness, open source software and open standards (here, the role of the Open Geospatial Consortium (OGC) should be noted as the leading global organization in the development of standards for geospatial and location-based services)2. 1 2 Google Earth was originally called EarthViewer 3D, created by Keyhole Inc., a company that was acquired by Google in 2004. http://www.google.es/intl/es/earth/index.html OGC, Open Geospatial Consortium: http://www.opengeospatial.org/ Towards 3D Location-Based Services 3 2D LocationBased Services Geospatial information is exchanged in electronic format and consumed in dedicated or generalpurpose applications. The wide use of the Internet, the trend towards distributed services, the maturity of SOA approaches, and the emergence of widely accepted open standards (such as OGC’s web map services (WMS) or web feature services (WFS)) have enabled the creation, exchange and use of geo-information in different sized ‘chunks’ (there is a tendency to exchange small amounts of information) where geo-information is simply consumed (rather than used by experts for the long term as before), with no physical support (DVDs, CDs, tapes, paper, etc.) required. In business, location-based services help in the management of stock, truck fleets, geographically dispersed infrastructure, and to give a new dimension to marketing (geo-marketing) by exploiting a customer’s additional location information. Figure 1 shows a snapshot of an ORCHESTRA application for managing the impact of a disaster on the road network. It also enables authorities to calculate alternative routes for existing traffic and assess the economic and environmental impact of the measures taken. Figure 1: A snapshot of an ORCHESTRA application for managing the impact of a disaster on a road network. With respect to the consumption of geoinformation by the general public, there is an increasing demand for quality information (mainly, the underlying cartography). This demand is natural on the consumer side; as we become accustomed to using geo-information, we desire more and better maps. However, the demand also originates from the producers of cartography, who spend large sums in the generation of quality geo-information and do not always see it used in mass products and services. Location The ability to know the exact position of a person, device or item along with the capability to represent that person, device or item in its surroundings opens a myriad of uses. This information becomes richer when we know the relative positions of items with respect to each other, their orientation and speed. This information is now available just using a smartphone, the mobile communication device with highest penetration rate in the current market. This information allows the context for a person or item at a given time and in any given location to be established. Location-based services are widespread today. We use them to plan and undertake journeys (of long or short distances), to check and view the traffic status in a city (using real-time traffic camera information or other means), to find out where the nearest pharmacy or shopping mall is, etc. The public sector also provides these kinds of services to citizens, such as showing when the next bus will arrive at a bus stop, or allowing individuals to identify, geo-reference, and communicate incidences in public infrastructure (e.g. a broken streetlight or a damaged sidewalk). 3 Augmented Reality The basic idea of augmented reality is to add virtual information about a user’s surroundings in order to provide them with a richer perspective that takes context into account (the virtual information provided must match the user’s location and align with their needs and the reason they are at that location). Figure 2: Images from Barcelona City Council AR Mobile App (Tempos 21). More information is provided in Atos’ whitepaper on mobile augmented reality3. Most current augmented reality applications present a 3D (or nearly 3D) image, but the superimposed information rarely “knows” about three-dimensionality so tags and other information items are placed on top of the bidimensional coordinates where the tagged item is located. http://atos.net/en-us/about_us/insights-and-innovation/thought-leadership/bin/mobile_augmented_reality_one_step_beyond.htm 4 Towards 3D Location-Based Services The Shortcomings of 2D The personal and business uses of geoinformation covered so far are widely available and publicized. And, however diverse they may appear, they share a common trait: they are all 2D. In spite of the dramatic advance and boom of geo-spatial information and locationbased services, it is still mainly bi-dimensional information being produced and consumed in a world which is – at least – tridimensional. The limitations of 2D geo-information and applications are numerous, however only two aspects will be covered here: The inaccurate representation of reality and inaccurate or incorrect rendering and – more importantly – false interpretation of the information. A third important limitation is the inability to solve complex real-world problems with 2D models. Inaccurate Representation In the 2D world, maps are flat, heights are indicated via contour lines or colors, and volumetric features, like buildings, are rectangles. This very primitive form of 2D representation has been enriched over the years with different techniques: Analog or digital photomontages, the addition of polygonal surfaces to represent features, texture maps, etc. Difficulties of Interpretation 2.5D as an Intermediate Solution Difficulties in interpreting geographic information arise when the user is presented with 2D images (maps, satellite images, orthophotos4, etc.) that represent a 3D reality. For example, users may be unable to tell exactly if one point or feature is at a higher or lower level than another, if a surface is concave or convex, etc. Three-dimensional modeling and analysis have been approached by adding a third dimension (usually height) to conventional 2D maps and images. In this respect, the results of an interesting visualization experiment organized by M.A. Bernabé (Technical University of Madrid (UPM), Spain), Arzu Çöltekin (University of Zurich (UZH), Switzerland) and Keith Clarke (University of California Santa Barbara (UCSB), US) are useful. For the experiment, more than 500 people of varying degrees of expertise interpreted a set of images from common “virtual globes” (Google Earth, Bing, etc.) and orthophotos from major websites. Preliminary results indicate that more than 70 percent of users wrongly perceive relief5. The results will be published later in 2011. The test is available online at http://geocoder.aenaupm.es/percepcion/ These limitations clearly have direct repercussions for business applications as they affect the modeling, analysis, design, and simulation capabilities of demanding applications (urban planning, emergencies, etc.). Digital elevation models (DEMs), digital terrain models (DTMs), and digital surface models (DMSs) provide information about surfaces and height, although the terms are used quite loosely. DTMs model the bare terrain and DSMs model the surface (whether natural terrain or comprising human-made features, such as houses). In most cases, DEM refers generically to both types of model. These models use remote sensing as well as direct survey data. They provide good models, with richer information than 2D images, but the cost of high-quality DEMs is usually very high. The US Geological Survey produces the National Elevation Dataset, and EuroGeographics provides EuroDEM, a digital representation of the ground surface topography of Europe6. Figure 3: Hillshade model derived from a DEM of the Valestra area in the northern Apennines (Italy)7. What these techniques provide is not true 3D, but an approximation of 3D within 2D; what could be called ‘fake 3D’. Although useful, and certainly much better than plain 2D representations, ‘fake 3D’ does not represent reality well. This is especially true for multi-scale environments and for micro-scales. A third dimension that may also be used to represent information other than height, such as population density or the number of speakers of a language in a given area, for example, can also be presented in this way. Ortophotos are aerial photographs that have been geometrically corrected in order for the scale to be uniform. Oral communication from Prof. M.A. Bernabé (on 13/03/2011) http://www.eurogeographics.org/content/products-services-eurodem 7 http://en.wikipedia.org/wiki/File:Dem.jpg 4 5 6 Towards 3D Location-Based Services 5 3D LocationBased Services 3D GISs and location-based services (LBSs) take advantage of true 3D modeling and representation to better capture the interesting features of reality for a given purpose. They enable engineering, management, and business processes which 2D GISs and LBSs cannot cater to, as well as enriching the user experience, thereby facilitating a truly immersive approach. Figure 4: Alternative referencing systems and abstract space characterization are possible through the digital nature of modern maps9. Geographic Space ... Nested Hexagons as alternative to Traditional Square Grid (Cartesian) The Challenges of 3D Following Joseph K. Berry’s interesting posts on the topic8, the current 2D approach for geographic referencing is based on the classic Cartesian framework, which utilizes squares and cubes as the basic units for representing surface and volume. 3D GISs and LBSs pose specific challenges for things such as data acquisition, modeling, analysis, management, visualization, and technology; as described by Neutens and Maeyer, “in recent years, a wide range of 3D models have been developed including voxels, tetrahedral networks (TEN), constructive solid geometry (CSG), and boundary representation (B-rep), and new data collection techniques have emerged, such as mobile mapping and laser scanning.” 2D Hexagon Grid 3D Polyhedron Abstract Space ... Attribute Value (A) replacing Z Geographic Coordinate A (attribute value) Columns (X) Rows (Y) This approach worked quite well for 2D, but does not really work for 3D, where the traditional referencing system must call on alternative coordinates (such as spherical coordinates) or alternative geometric shapes (such as pentagons, hexagons, dodecahedrons, and icosahedrons). These geometric shapes enable better 3D modeling than squares and cubes and – having more sides than squares and cubes – provide a better framework for measuring or representing continuous movement. Hexagon 1 2 3 4 5 6 7 8 9 A A1 A2 A3 A4 A5 A6 A7 A8 A9 B B1 B2 B3 B4 B5 B6 B7 B8 B9 C C1 C2 C3 C4 C5 C6 C7 C8 C9 D D1 D2 D3 D4 D5 D6 D7 D8 D9 E E1 E2 E3 E4 E5 E6 E7 E8 E9 1 2 3 4 5 6 7 8 9 Y A A A1 A2 A3 A4 A5 A6 A7 A8 A9 A A A B B B1 B2 B3 B4 B5 B6 B7 B8 B9 B B B C C C1 C2 C3 C4 C5 C6 C7 C8 C9 C C C D D D1 D2 D3 D4 D5 D6 D7 D8 D9 D D D E E E1 E2 E3 E4 E5 E6 E7 E8 E9 E E E Time X 2D Data Matrix Surface Map 3D Data Matrix Summary of the latest OGC 3D Summit (20/09/2011)10 Examples Only a very limited set of examples for 2.5D and 3D GISs and LBSs are given: Géoportail11, the French geoportal (developed and run by Atos Worldline), provides a great deal of geo-information, including 3D geo-information that can be consumed upon installation of Terra Explorer software. Figure 5: Géoportail’s 3D functionality. Work in 3D GISs and LBSs is currently taking place in many universities and labs around the world, and open standards to facilitate its development are also being addressed by OGC, specifically within the 3D Information Management (3DIM) Working Group. This group aims to facilitate, “the definition and development of interface and encoding standards that enable software to develop solutions that allow infrastructure owners, builders, emergency responders, community planners, and the traveling public to better manage and navigate complex built environments. Effective integration of these software data and services has eluded the geospatial and CAD industry for decades. Today, through the cooperation of diverse stakeholders, integrated infrastructure information systems will be achieved. OGC members and partners will work in an iterative development process to achieve incremental demonstrations of real solutions.” http://www.innovativegis.com/basis/Papers/Other/3D_GIS/ Taken from “Referencing the future”, Joseph K. Berry, http://www.innovativegis.com/basis/Papers/Other/3D_GIS/ http://www.vector1media.com/events/event-coverage/23063-the-ogc-3d-summit-delivers-advancements-and-challenges.html 11 http://www.geoportail.fr/ 8 9 10 6 Towards 3D Location-Based Services Like Géoportail, many national spatial infrastructures (SDIs) – the specialists’ for geoportals – provide 2.5D and 3D information of their territories, together thematic (non-geographic) data. data term geowith Figure 6: Geovirtual’s 3D globe navigation. Geovirtual is a Spanish company that provided the Glinter12 application to enable 3D flights over the terrain. Figure 7: Google’s 3D view of San Francisco13. Google provides a browser plug-in to use Google Maps in 3D in combination with Google Earth. Figure 8: gvSIG’s 3D viewer. Global Geomatics currently uses StreetMapper 360 for quick 3D mapping of highways, roads, railways and other infrastructure in Africa. gvSIG has recently announced version RC1 of gvsig3D14 Capaware15 provides an open-source 3D geographical multilayer framework. Many specialized companies are working on 3D instrumentation, data acquisition, and visualization technologies. http://www.glinter.net/website/public/index.htm screenshot by Stephen Shankland/CNET, published at http://news.cnet.com/8301-30685_3-20003451-264.html http://gvsig3d.blogspot.com/ 15 http://www.capaware.org/ 12 13 14 Towards 3D Location-Based Services 7 Use Cases and Business Opportunities There are many current and potential uses of 2.5 and 3D GISs and LBSs, a few are mentioned below. Logistics/Supply Chain Management 3D simulations and management software and systems can greatly improve logistics. Layers describing geo-information and warehouse facilities are superimposed upon with information about routes, utilization, throughput, and other parameters than impact on productivity and efficiency. The software can vividly show real or simulated flows of trucks, forklift trucks, and other machinery within the premises and enable simulations that help assess the impact of redesigning the warehouses and docks, or modifying transport routes or stock configurations until performance is optimized. GreenIT/Data Centers With 3D GISs and LBSs, the best location and orientation (for items where this parameter is important) of devices and items in data centers can be carefully planned, enabling better management: Reduction of lengths of cable used in connections, better mapping of temperature, humidity, and other important sensor information, better placement of the sensor networks, etc. 3D GISs and LBSs may also be used in conjunction with relevant sensors to assess and reduce the emissions and carbon footprint of public or private fleets. Infrastructures (Road, Railway, Telecom, Energy & Utilities) GISs are widely used today for the management of infrastructure, including roads, railways, cable networks, cellular telephony antennas, oil & gas prospects, etc. However, there are limitations due to the lack of interoperability and lack of 3D features. Interoperability is a must even in-house; an organization’s system must not only be able to communicate with external systems, but also with other internal systems. The increasing use of sensors and other devices – such as unmanned aerial vehicles (UAVs) which are used for inspection and can take photographs, videos, and other measurements from airborne sensors – means ‘internal interoperability’ is key for efficient infrastructure management. This can only be properly supported by true 3D systems, which are able to capture and represent features with the necessary detail, in a multi-scale and (ideally) seamless manner. Urban Planning Urban planning takes place in a challenging environment: It requires multi-scale information, it affects the surface and underground worlds, and is never a stand-alone activity; it has to contemplate many different views at once (human comfort, overall performance, multimodal transportation means, and water or air quality, among others). An activity such as extending a subway line must take into account the location of water, gas, cable, and electricity lines, other subway lines, the sewage network, traffic tunnels, garages, underground water deposits and currents, etc. Having accurate 3D representations of these information layers is vital for risk reduction and efficiency improvements in the design and development phases. Figure 10: 3D Modeling of Geology and Hydrogeology in Urban Planning17. OGC provides the “City Geography Markup Language (CityGML) Encoding Standard”18 for the representation, storage, and exchange of virtual 3D city and landscape models. Figure 9: MVS’s Virtual Cable ™ Navigationtechnology. Navigation Navigation aids can be made more effective with 3D augmented reality. For example, MVS’s Virtual Cable™ technology16 provides an application for automotive navigation that shows the route to be followed as a color cable suspended over the road. The image that guides the driver is produced by a special volumetric head-up display (HUD) device which is located behind the dashboard of the car. The need for this kind of display is a current limitation of the technology, but developments in 3D visualization are likely to remove this sort of barrier, making adoption more widespread and cheaper. 16 17 18 8 http://mvs.net/ Prof. Dr. Peter Wycisk, Martin Luther University of Halle-Wittenberg, http://www.fona.de/en/forum/2007/exhibition.php?we_objectID=5265&pic=12&y=2007 http://www.opengeospatial.org/standards/citygml Towards 3D Location-Based Services Risk & Emergency Management Risk & Emergency Management is a field that can greatly benefit from 3D GISs and LBSs. There are already some very advanced solutions for 2D and 2.5D GISs, both for managing natural and human-made disasters. 3D would enable the ideal seamless transition from outdoor to indoor spaces, as well as helping decision making (e.g. whether terrains where people can look for shelter should be elevated or sunken, accurate placement and transport of resources, etc.) and simulations (3D diffusion of a smoke plume or a “toxic cloud”). Figure 11: 3D propagation model of the 2004 tsunami wave (US Geological Survey)19. It must be noted that in this context, sensors are not merely relatively small devices with rather autonomous behavior that communicate measurements of different kinds; they are anything that provides valuable information (including people, who produce ever-increasing amounts of geo-referenced information). Quote Havlik, D. (2011): “…the OGC defines the term Observation as a piece of structured and semantically very rich information containing e.g. the value, unit, temporal-, domainand spatial- context, provenance, ownership, quality, uncertainty and process description. Observations may indeed be a result of “direct” observation of the natural world by people or sensors, but the OGC definition explicitly includes the idea of historic observation repositories, and observations generated by various numerical models.” Such developments can be applied to other situations, such as modeling and simulation of crowd behavior during emergencies. This can improve the knowledge of risk professionals, as well as enhancing the protocols to be implemented during an emergency. Human-made disasters usually occur at locations and premises, and at a scale, that makes 3D a necessary feature in the design and implementation of critical procedures such as evacuation. Additional technology must be coupled to the 3D GIS system in order to portray relevant features in these micro-scale environments (buildings, subways, garages, etc.). Figure 12: Indoor Navigable Data Model (Lee, 2004b). The relative maturity of environmental applications in the use of new technologies is fostered both by usage and by political efforts, such as INSPIRE (European Directive for the harmonization of spatial information in Europe), GMES (Global Monitoring for the Environment and Security), SEIS (Shared Environmental Information System), and GEOSS (Global Earth Observation System of Systems), in which the European Commission and the European Space Agency play key roles. Healthcare Besides the application of 2D and 3D GIS techniques in medical imaging and the ambitious Virtual Physiological Human initiative (which is very interesting but outside the scope of this whitepaper), 3D GISs and LBSs have an important role to play in the healthcare sector. One example is the fusion of healthcare and environmental information in order to assess the impact of environmental factors on health. This is done in different spatial and temporal scales, from short term (epidemic outbreak) to long term (impact of water quality on the health of the population in a given location). Environment Environmental applications have been among the first to exploit the latest developments in geoinformation, such as the widespread use of open standards or the latest advances in sensor networks. The degree of advancement is such that researchers are already talking about the “Observation Web”; the mixture of 2.5D and 3D geo-information, overlaid sensor measurements, and other thematic information layers. This “Observation Web” would be the environmental equivalent of the “Earth’s electronic skin”, proposed by Murray in 1999. 19 An example of this is the prediction of cholera outbreaks. Scientists have shown that a correlation exists between the presence of a type of algae and the outbreak of cholera epidemics. Information from in situ sensors and satellite images can be processed in order to assess the presence of specific algae in the water, which combined with other sources of information, can help predict likely cholera outbreaks and launch the necessary pre-outbreak measures. Photo: http://walrus.wr.usgs.gov/tsunami/sumatraEQ/SumatraNW1pic.html Video: http://walrus.wr.usgs.gov/tsunami/sumatraEQ/images/sum2TNW_small.mov Towards 3D Location-Based Services 9 Some Key Atos Projects Atos has extensive expertise in geo-spatial information management and locationbased services. Atos has led remarkable projects and initiatives in this field. There are many other projects besides the French Géportail mentioned above, the four most recent of which, that directly address the use cases and business opportunities presented in Section 5, are presented below. ORCHESTRA – Environmental Risk & Emergency Management The ORCHESTRA project20, led by Atos, constituted a milestone in GISs and LBSs, since it provided a sound architectural framework for geospatial applications based on relevant standards (OGC, W3C, ISO/CEN, OASIS), demonstrated the validity of the approach in several real-world implementations, and piloted several advanced features such as semantic catalogs and Geo-DRM (digital rights management). The four implementations addressed different application scenarios of interest: The management of forest fires, the management of floods, the impact of disasters on road networks, and maritime pollution. Figure 13: ORCHESTRA – Simulation of affected areas during a flood in the Tordera basin (Spain). ORCHESTRA was the first, and is still the only, software architecture that was granted ‘Best Practice’ status by OGC. DEWS – Risk & Emergency Management DEWS21, a project led by Atos, is a new generation of early warning systems, designed for use in any location and for any type of risk. Its first implementation focuses on the risk of tsunamis in the Indian Ocean. Figure 14: DEWS – Estimation of affected areas during a tsunami event in Indonesia. 20 21 Prof. Dr. Peter Wycisk, Martin Luther University of Halle-Wittenberg, http://www.fona.de/en/forum/2007/exhibition.php?we_objectID=5265&pic=12&y=2007 http://www.dews-online.org/ 10 Towards 3D Location-Based Services DEWS enables the rapid detection of an event, in this example, a tsunami, and the calculation of its propagation; the areas that it will likely affect (and the probable severity of the impact). But its power resides also in its capacity to distribute alerts instantly, through more than 10 communication channels (fax, e-mail, SMS, radio, sirens, broadcast or narrowcast TV-overlay, etc.). Figure 15: DEWS – Warning message superimposed on TV. The warnings and alarms are sent in a personalized way: Each person receives the right message, through the desired channel, in their preferred language, and according to their situation or role during the event (tourist, local civilian, member of an authority, member of the emergency services, etc.). There are two configurations of DEWS: One for National Centers, where the system links to local sensor networks and focuses on the local (national) situation, and one for Regional Centers, where the system links to sensor networks in the local country and abroad, and shares the information and alerts with neighboring countries. The National Center configuration was installed in Indonesia in October 201122. EO2HEAVEN – Healthcare EO2HEAVEN is an ongoing initiative (and a GEOSS (Global Earth Observation System of Systems) official pilot) to improve understanding of the complex relationships between environmental changes and their impact on human health. The project monitors changes resulting from human activities, with emphasis on atmospheric, river, lake, and coastal marine pollution. EO2HEAVEN follows a multidisciplinary and user-driven approach involving public health stakeholders who work closely with technology and service providers in both the earth observation and in-situ environmental monitoring domains. The result of this collaboration is the design and development 23 Atos has extensive expertise in geospatial information management and location-based services. of a GIS based upon an open and standardsbased spatial information infrastructure (SII) that is envisaged to become a helpful tool for researching human exposure to and the early detection of potential health endangerments. The EO2HEAVEN project is scheduled to finish in early 2013. http://www.dews-online.org/news/-/blogs/dews-installation-at-bmkg-in-jakarta-indonesia?_33_redirect=http%3A%2F%2Fwww.dews-online.org%2Fnews%3Fp_p_ id%3D33%26p_p_lifecycle%3D0%26p_p_state%3Dnormal%26p_p_mode%3Dview%26p_p_col_id%3Dcolumn-1%26p_p_col_count%3D1 http://www.eo2heaven.org/ 22 23 Towards 3D Location-Based Services 11 MUGAGABE – Urban Planning and Transport Figure 16: MUGAGABE – Planning and Management of cyclist routes and infrastructure in Vitoria-Gasteiz (Spain). MUGAGABE is a system for urban transport planning, specifically, for the planning and management of the cycle routes and infrastructure of the city of Vitoria-Gasteiz, in the Basque Country, Spain. The system enables the public authorities (in this case, the staff at the Municipality) to plan and manage cycling routes in and around the city, including interfaces with roads and signals along the lanes, amongst others. The system also allows for bidirectional communication; that means for citizen participation with individuals providing feedback or informing the local authorities about incidents that require attention: A faulty lane surface, a damaged signal, a flooded area, etc. ADIENC – Mobile Land Planning Figure 17: ADIENC – Mobile Land Planning in Cantabria (Spain) showing the iPhone look and feel of the application. ADIENC is an ambitious project for the Regional Government of Cantabria (Northern Spain). The objective of the project is to present geoinformation on mobile device screens, enabling users to interact with maps and geo-referenced information. This was achieved in a multi-platform way (instead of making dedicated developments for each device and operating system), making only minor platform-specific adjustments in the final development phase to ensure the integrity and coherence of the graphic user interfaces. The result is compliant with OGC standards (so the mobile device can show geographic layers from servers using the WMS standard). The system has been developed and tested for Windows Mobile 6.5 and 6.1, Blackberry’s RIM, Nokia’s Symbian, iPhone 3G, and Google’s Android. 12 Towards 3D Location-Based Services It is worth noting that the whole project lasted just nine months, during which Atos’ trimestral mobile market studies showed continuous changes in the predominance of one device or operating system over the others. That was the main driver for the decision to go for a multi-platform approach until the market stabilizes. Geo-enabled Management of Cultural Heritage in Santiago de Compostela This system integrates GISs and LBSs with a document management system (DMS), and enables the public administration to manage information about historical buildings; cultural heritage is associated with information and documents (all geo-referenced). Atos is one of the key players in geospatial information at a global level. The whole system resides in one server that provides cartographic information and all other services. The system calls on products from ESRI, OpenText and Oracle, and is compliant with OGC WMS and WFS standards, with additional customizations. Figure 18: Geo-enabled management of cultural heritage in Santiago de Compostela. These are just a few examples of the GIS and LBS systems and applications that Atos is currently providing to customers. Towards 3D Location-Based Services 13 Atos’ Vision and Future Directions Atos is one of the key players in geospatial information at global level, the first major IT services company to push for open standards and open source implementations, and the leader of milestone research & development (R&D) projects. Atos’ power as IT provider for geospatial services, and what distinguishes it from competitors is flexibility: Atos works with open standards (OGC, W3C, ISO, etc.), open-source software, proprietary software, and third-party products and services (ESRI, Oracle, ERDAS, etc.) in a seamless way in order to provide the best solution for each customer’s business needs. In addition, Atos applies new business models (such as High-Tech Transactional Services (HTTS), Public-Private Partnerships (PPP), and Revenue Sharing) in order to support customers during the current financial crisis that sees many businesses are transitioning towards a “new normal”. 14 Future directions of work include, among others: `` True 3D modeling and representation, with an emphasis on indoor environments. `` Internet of things and big data approaches for geo-spatial information. `` Crowdsourcing as added value and enabler of services (environment, healthcare, emergencies, etc.). Atos’ power as IT provider for geospatial services is flexibility. `` Location in the cloud, and cloud orchestration to avoid vendor lock-in. `` Embedding business intelligence and analytics results in geo-information layers. `` 3D and advanced 2D geo-information for smart cities. Towards 3D Location-Based Services Conclusions and References Conclusions References Geo-information (or geo-spatial information), geographic information systems (GISs), and location-based services (LBSs) have experienced a boom in recent years, both in people’s professional and personal lives. Havlik, D. et al. “From Sensor to Observation Web with Environmental Enablers in the Future Internet” (accepted for publication in MDPI’s Sensors Journal, in 2011). Pre-final and final versions facilitated by Dr. Havlik on 05/02/2011 and 15/03/2011 respectively. Ristol, S. (Ed.) “Mobile Augmented Reality – One Step Beyond” Atos Whitepaper. http://atos.net/en-us/about_us/insights-and-innovation/thought-leadership/bin/mobile_augmented_ reality_one_step_beyond.htm Bernabé, M.A. Oral and e-mail communications (13 and 14/03/2011) Esbrí M.A., Esteban J.F., Hammitzsch M., Lendholt M., Mutafungwa E. “DEWS: Distant Early Warning System – Innovative system for the early warning of tsunamis and other hazards”. (Jornadas Ibéricas de Infraestructuras de Datos Espaciales, JIDEE 2010. Lisbon, Portugal, 27-29/10/2010). http://www.usig.pt/images/JIIDE2010ProgramaFinal.pdf Zambuni R. “Towards Intelligent Cities with 3D City GIS Initiatives,” Infrastructure Today, 31-34, April 2010 Neutens, T; Maeyer, P. (Eds.) Developments in 3D Geo-Information Sciences. Springer-Verlag Publication (2009) Douglas, J.; Usländer,T.; Schimak, G.; Esteban, J.F.; Denzer, R. “An open distributed architecture for sensor networks for risk management”. Sensors Journal, Special Issue: «Sensors for Disaster and Emergency Management Decision Making» (Online at http://www.mdpi.net/sensors/) 8 (2008), Nr.2, S.1755-1773; ISSN: 1424-8220 Kanellopoulos I. & Klopfer M. (Eds.) “The ORCHESTRA Book”. Copyright by the ORCHESTRA Consortium 2008. ISBN 978-3-00-024284-7. http://www.eu-orchestra.org/docs/ORCHESTRA-Book.pdf Usländer, T. (Ed.), 2007. Reference Model for the ORCHESTRA Architecture Version 2 (Rev 2.1), Deliverable D3.2.3 ORCHESTRA FP6 Integrated Project 511678, OGC Best Practices Document 07-097, http://portal.opengeospatial.org/files/?artifact_id=23286 Berry, J.K. “Referencing the Future,” (GeoWorld, 2007). http://www.innovativegis.com/basis/Papers/Other/3D_GIS/ (accessed 13/03/2011) Lee, J. 3D GIS in Support of Disaster Management in Urban Areas (18/12/2005). http://lbs360.directionsmag.com/articles/index.php?article_id=2049 (accessed 14/03/2011) Kwan, M.P.; Lee J. “Emergency response after 9/11: the potential of real-time 3D GIS for quick emergency response in micro-spatial environments”. Computers, Environment and Urban Systems 29 (2005) 93–113. Elsevier Lee, J., 2004b «3-D GIS for Geo-coding Human Activity in Micro-scale Urban Environments» in Geographic Information Sciences: Springer’s Lecture Notes in Computer Science Computers (LNCS 3234). Eds. Egenhofer, M.; Freksa, C.; and Miller, H. (Springer, New York) pp 162-178 Lange, E. “The limits or realism: perceptions of virtual landscapes”. Landscape and Urban Planning 54 (2001) 163-182. Elsevier BMBF (Federal Ministry of Education and Research) http://www.fona.de/en/forum/2007/exhibition.php?we_objectID=5265&pic=12&y=2007 (accessed 14/03/2011) ORCHESTRA Project. http://www.eu-orchestra.org (accessed 14/03/2011) DEWS Project. http://www.dews-online.org/ (accessed 14/03/2011) DEWS installation in Indonesia. http://www.dews-online.org/news/-/blogs/dews-installation-at-bmkg-injakarta-indonesia?_33_redirect=http%3A%2F%2Fwww.dews-online.org%2Fnews%3Fp_p_ id%3D33%26p_p_lifecycle%3D0%26p_p_state%3Dnormal%26p_p_mode%3Dview%26p_p_col_ id%3Dcolumn-1%26p_p_col_count%3D1 (accessed 25/10/2011) OGC (Open Geospatial Consortium). http://www.opengeospatial.org/ (accessed 14/03/2011) OGC 3D Summit. http://www.vector1media.com/events/event-coverage/23063-the-ogc-3d-summitdelivers-advancements-and-challenges.html (accessed 25/10/2011) EO2HEAVEN Project. http://www.eo2heaven.org/ (accessed 14/03/2011) SANY Project. http://www.sany-ip.eu/ (accessed 14/03/2011) Géoportail. http://www.geoportail.fr/ (accessed 13/03/2011) EuroGeographics. http://www.eurogeographics.org/content/products-services-eurodem (accessed 14/03/2011) Glinter. http://www.glinter.net/website/public/index.htm (accessed 14/03/2011) gvSIG3D. http://gvsig3d.blogspot.com/ (accessed 14/03/2011) Capaware. http://www.capaware.org/ (accessed 14/03/2011) Making Virtual Solid. http://www.mvs.net/ (accessed 14/03/2011) USGS. http://walrus.wr.usgs.gov/tsunami/sumatraEQ/SumatraNW1pic.html (accessed 04/03/2011) However impressive the technology is, the limitations of 2D geo-information and applications are numerous, and notable for some business applications. True 3D GISs and LBSs are still under development, but some applications and systems already exist. Technological evolution will make 3D as widespread as 2D is today. As these technologies become available, the “that’s nice” phase will quickly move on to the “I can’t work/live without it” phase. Over the last decade Atos has led, and continues to lead, important initiatives in this field. It provides customers with powerful systems and solutions for demanding applications, such as emergency management, urban planning, healthcare and risk management. Towards 3D Location-Based Services 15 About Atos Atos is an international information technology services company with annual 2010 pro forma revenues of EUR 8.6 billion and 74,000 employees in 42 countries at the end of September 2011. Serving a global client base, it delivers hi-tech transactional services, consulting and technology services, systems integration and managed services. With its deep technology expertise and industry knowledge, it works with clients across the following market sectors: Manufacturing, Retail, Services; Public, Health & Transport; Financial Services; Telecoms, Media & Technology; Energy & Utilities. Atos is focused on business technology that powers progress and helps organizations to create their firm of the future. It is the Worldwide Information Technology Partner for the Olympic Games and is quoted on the Paris Eurolist Market. Atos operates under the brands Atos, Atos Consulting and Technology Services, Atos Worldline and Atos Worldgrid. atos.net Atos, the Atos logo, Atos Consulting, Atos Worldline, Atos Sphere, Atos Cloud and Atos Worldgrid are registered trademarks of Atos SA. December 2011 © 2011 Atos.