The human environment is essentially a built environment. A large part of modern life is lived indoors, whether in homes, offices, shopping malls, universities, libraries, airports, or perhaps huge sport stadiums. Analyst firm ABI Research predicts that by 2018, more than 800 million smartphones will be actively using indoor location technology, which will be as commonplace as GPS is today. Indoor maps are also becoming increasingly available. Google is crowdsourcing indoor maps from proprietors; Micello has mapped more than 15,000 indoor venues and is expanding; and OpenStreetMap has also started creating publicly available indoor maps. A survey estimated that more than 200,000 indoor venues across the US will be using indoor location based services (LBSs) by the end of this year.
These advances bring enormous opportunities. Indoor technology will rapidly become vital for the operations of governments, businesses, and private individuals. The US Federal Communications Commission is exploring indoor positioning for more timely and effective emergency services. In October 2014, Apple allowed business owners to upload their indoor maps on Apple Maps - but the service was soon completely overwhelmed by pent-up demand, forcing Apple to limit it to venues with over 1 million visitors a year. Based on such reports of its immense popularity, indoor services are expected to have an even bigger impact than their outdoor counterparts in maps and GPS.
Realising the potential of indoor services, major handset providers and research organizations have started investing in this important and growing area to exploit its full potential. Many unique research challenges need to be addressed such as spatial abilities, reasoning, ontologies, and data management for indoor space, to name a few. The series of ACM Workshop on Indoor Spatial Awareness addresses these challenges and explores the cognitive and semantic challenges, positioning and data processing requirements and technological innovations needed to facilitate the smooth transition to this ecosystem
Proceeding Downloads
Ubiquitous real-time geo-spatial localization
Rapidly growing technologies like autonomous navigation require accurate geo-localization in both outdoor and indoor environments. GNSS based outdoor localization has limitation of accuracy, which deteriorates in urban canyons, forested region and is ...
Querying indoor spatio-temporal data by hybrid trajectories
GPS has become the reference for outdoor positioning, implementing a direct connection between the GPS satellite and a receiver device. Indoor positioning raises new challenges, locating a target device requires the wireless sensors networks and other ...
Towards indoor localization and navigation independent of sensor based technologies
Many sensor based technologies exist to assist localization and navigation tasks in indoor space. Their success is hindered by limitations in their technology, accuracy and cost. This research provides an approach for localization and navigation based ...
Employing spatial analysis in indoor positioning and tracking using wi-fi access points
A practical WiFi-based positioning system has to be adaptable to the variations of indoor environmental dynamic factors. In this work, we propose a novel Wi-Fi indoor positioning and tracking framework which employs the spatial analysis and image ...
Outdoor-indoor space: unified modeling and shortest path search
Graph models are widely used for representing the topology of outdoor space (O-Space) and indoor space (I-Space). However, existing models neglect the intersection between O-Space and I-Space, only allowing for computations such as shortest path and ...
Generation of moving object trajectories in indoor space
For the studies on moving object databases, we need moving object trajectory data sets. For example, a benchmark data set of moving object trajectories is required for experiments on query processing of moving object databases. For these reasons, ...
IndVizCMap: visibility color map in an indoor 3D space
The widespread availability of indoor and outdoor 3D models enables us to answer a wide range of spatial visibility queries in the presence of obstacles (e.g., buildings, furniture). Example queries include "what is the best position for placing a ...
Index Terms
- Proceedings of the Eighth ACM SIGSPATIAL International Workshop on Indoor Spatial Awareness
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Acceptance Rates
Year | Submitted | Accepted | Rate |
---|---|---|---|
ISA '16 | 7 | 5 | 71% |
Overall | 7 | 5 | 71% |