Ambient spatial intelligence: Spatial analysis and event detection in environmental geosensor networks. This project will design and test innovative new decentralised algorithms for responding to spatiotemporal queries in environmental monitoring networks. The research is essential for constructing larger, denser, and more reliable networks, helping to embed spatial intelligence within the environment itself (ambient spatial intelligence). The project builds on Australia's existing research exce ....Ambient spatial intelligence: Spatial analysis and event detection in environmental geosensor networks. This project will design and test innovative new decentralised algorithms for responding to spatiotemporal queries in environmental monitoring networks. The research is essential for constructing larger, denser, and more reliable networks, helping to embed spatial intelligence within the environment itself (ambient spatial intelligence). The project builds on Australia's existing research excellence in geographic information science. By making smarter use of spatial information, the project will further strengthen Australia's world-leading spatial information industry, and support sustainable and economic environmental management through important applications like conservation contracts and carbon sequestration monitoring.Read moreRead less
Automatic fusion of geoinformation: The intelligent geo-mediator architecture (iGMA). The efficient integration of geographic information from different sources (termed geoinformation fusion) is recognized internationally as a major problem for projects that rely on geographic information. Conventional geoinformation fusion procedures require manual assistance from human experts. This project will lead to increased speed, reliability, and economy for this task, by automating the process of geoin ....Automatic fusion of geoinformation: The intelligent geo-mediator architecture (iGMA). The efficient integration of geographic information from different sources (termed geoinformation fusion) is recognized internationally as a major problem for projects that rely on geographic information. Conventional geoinformation fusion procedures require manual assistance from human experts. This project will lead to increased speed, reliability, and economy for this task, by automating the process of geoinformation fusion. Many different application domains will benefit from these improvements to geoinformation fusion procedures, including emergency response systems (for example, helping to combine different data about the structural characteristics of buildings as part of a housing damage assessment following an earthquake).Read moreRead less
High-Accuracy Geopositioning from High-Resolution Satellite Imagery. The new technology of high-resolution satellite imaging (HRSI) is revolutionising geospatial information generation for digital mapping, GIS and remote sensing. This project will investigate the metric potential of HRSI and specifically high-accuracy 3D geopositioning. The research will address fundamental issues of imaging sensor orientation modelling, multi-image matching and terrain model extraction. New and refined algorith ....High-Accuracy Geopositioning from High-Resolution Satellite Imagery. The new technology of high-resolution satellite imaging (HRSI) is revolutionising geospatial information generation for digital mapping, GIS and remote sensing. This project will investigate the metric potential of HRSI and specifically high-accuracy 3D geopositioning. The research will address fundamental issues of imaging sensor orientation modelling, multi-image matching and terrain model extraction. New and refined algorithms and computational schemes will be formulated and implemented in software. These developments will then be evaluated through comprehensive experimental testing using Ikonos and Quickbird satellite imagery, with the expected project outcomes being new, experimentally validated computational models, which will advance geospatial information generation from HRSI.Read moreRead less
Digital Colour Sensing in Vision Metrology. This project will develop the necessary new image processing algorithms, computational models and signalisation strategies to facilitate a significantly higher precision measurement capability for vision metrology (VM) systems incorporating colour digital cameras. VM systems for 3D industrial and engineering measurement currently employ panchromatic digital cameras, because the colour filter arrays used in colour cameras adversely affect image mensurat ....Digital Colour Sensing in Vision Metrology. This project will develop the necessary new image processing algorithms, computational models and signalisation strategies to facilitate a significantly higher precision measurement capability for vision metrology (VM) systems incorporating colour digital cameras. VM systems for 3D industrial and engineering measurement currently employ panchromatic digital cameras, because the colour filter arrays used in colour cameras adversely affect image mensuration accuracy. Yet, off-the-shelf colour cameras are ubiquitous and have advantages of ready availability and cheaper cost. This research will overcome the limitations of colour sensors and enable both a broader range of 3D measurement applications and an enhanced commercial potential for VM.Read moreRead less
Fusion of Laser Ranging Data and Imagery for Generation of 3D Virtual Models. The creation of image texture-mapped, three-dimensional (3D) digital models of object scenes is becoming increasingly more important in virtual reality generation. Visually realistic computer models find application in reverse engineering and industrial metrology and design, but their utility is often limited by shortcomings in accuracy and completeness. This project aims, through a fusion of laser scanner data and dig ....Fusion of Laser Ranging Data and Imagery for Generation of 3D Virtual Models. The creation of image texture-mapped, three-dimensional (3D) digital models of object scenes is becoming increasingly more important in virtual reality generation. Visually realistic computer models find application in reverse engineering and industrial metrology and design, but their utility is often limited by shortcomings in accuracy and completeness. This project aims, through a fusion of laser scanner data and digital photogrammetric imagery, to develop improved mathematical models and computational systems to facilitate advances in automated 3D object reconstruction for high-definition, metrically accurate photo-realistic digital models. The principal outcome from the project will be enhanced 3D computer modelling for engineering applications.
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Talking about place: tapping human knowledge to enrich national spatial data sets. Place descriptions are a common way for people to describe a location, but no current tools are smart enough to understand them. Emergency call centres are risking lives, users of navigation or web services are frustrated and addressing these problems costs billions of dollars per year. This project comes with a novel, interdisciplinary approach to automatically interpret human place descriptions and will develop ....Talking about place: tapping human knowledge to enrich national spatial data sets. Place descriptions are a common way for people to describe a location, but no current tools are smart enough to understand them. Emergency call centres are risking lives, users of navigation or web services are frustrated and addressing these problems costs billions of dollars per year. This project comes with a novel, interdisciplinary approach to automatically interpret human place descriptions and will develop novel methods to capture placenames with their meaning for smarter databases and automatic interpretation procedures. This acquired knowledge will be an important step forward for Australia's data custodians and users. Australia's location information industry will gain a significant advantage on a highly competitive global market.Read moreRead less
CEWAY: Cognitively ergonomic wayfinding directions for location-based services. This project develops qualitative models of wayfinding directions based on landmarks (e.g., 'to the hospital') and common spatial predicates (e.g. 'near to'). These models provide a basis for selecting salient features in different contexts and combining these features with vague spatial predicates. Such wayfinding directions require less cognitive workload and lead to higher success rates in wayfinding than current ....CEWAY: Cognitively ergonomic wayfinding directions for location-based services. This project develops qualitative models of wayfinding directions based on landmarks (e.g., 'to the hospital') and common spatial predicates (e.g. 'near to'). These models provide a basis for selecting salient features in different contexts and combining these features with vague spatial predicates. Such wayfinding directions require less cognitive workload and lead to higher success rates in wayfinding than current approaches. The project develops an integrated formal model of context-dependent salience and navigation under uncertainty. A demonstrator will be implemented based on the industry partners' software platform and data. Human subject tests using the demonstrator software will be used to verify the efficacy of our approach.Read moreRead less
Intelligent Self-Organizing Transport. The project aims to develop smart transport solutions for Australia's sprawling mega-cities with their complex challenges to provide mobility and equitable access, and with their susceptibility to failure in cases of disasters. In particular, the project will develop software establishing intelligent and self-organizing transport management in urban environments. The project has potential to increase the mobility of citizens, even in low-density suburbs, by ....Intelligent Self-Organizing Transport. The project aims to develop smart transport solutions for Australia's sprawling mega-cities with their complex challenges to provide mobility and equitable access, and with their susceptibility to failure in cases of disasters. In particular, the project will develop software establishing intelligent and self-organizing transport management in urban environments. The project has potential to increase the mobility of citizens, even in low-density suburbs, by reducing the desire for individual car traffic at the same time. Since a self-organizing transport management works ad-hoc, it can be deployed also in devastated areas, e.g., after disasters.Read moreRead less
Geospatial Information Processing for Quickbird Satellite Imagery. Of the new generation of commercial high-resolution earth observation satellites, the Quickbird system with its 70cm resolution has greatest potential for metric applications. The capabilities of Quickbird imagery for digital mapping, GIS and geopositioning are, however, yet to be fully established and the models, procedures and computational systems required for higher-accuracy applications require further research. The aim of t ....Geospatial Information Processing for Quickbird Satellite Imagery. Of the new generation of commercial high-resolution earth observation satellites, the Quickbird system with its 70cm resolution has greatest potential for metric applications. The capabilities of Quickbird imagery for digital mapping, GIS and geopositioning are, however, yet to be fully established and the models, procedures and computational systems required for higher-accuracy applications require further research. The aim of this project, which is a collaboration with SKM, is to develop the tools necessary to validate Quickbird imagery as a source for geospatial information collection, to develop the associated data processing systems to proof-of-concept stage and to experimentally verify these systems.Read moreRead less
Data integration, scale and classification of remotely sensed imagery. This project will investigate and resolve the specific problems associated with processing, interpreting and classifying high-resolution satellite imagery. Previous work has shown that current algorithms developed for lower resolution remote sensing data are not appropriate for processing higher resolution data. New algorithms will be developed for geometrically and radiometrically processing high-resolution satellite data ....Data integration, scale and classification of remotely sensed imagery. This project will investigate and resolve the specific problems associated with processing, interpreting and classifying high-resolution satellite imagery. Previous work has shown that current algorithms developed for lower resolution remote sensing data are not appropriate for processing higher resolution data. New algorithms will be developed for geometrically and radiometrically processing high-resolution satellite data so that it can be interpreted in conjunction with other similar data, or existing lower resolution data. Consequently, the potential uses of high resolution satellite imagery will be greatly increased, allowing many more users to access the advantages of this unique source of data.Read moreRead less