2018 Proceeding- Editors:
- Muhammad Aamir Cheema,
- Shiyu Yang,
- Zhou Shao
Research shows that we spend more than 85% of our time indoors - 30% at indoor venues other than homes, often in unfamiliar places. Despite this, nearly all existing location-based services (LBS) focus on outdoor spaces. However, in the past few years, indoor LBS are also getting increasing attention. A whole new industry is beginning to create indoor maps. Google is a natural pioneer in this, but it is also crowdsourcing 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. It is estimated that more than 200, 000 indoor venues across the US will use indoor LBS by 2016. Indoor positioning technology is also continuously improving.
Proceeding Downloads
Discovering User-context in Indoor Space
Recently, there has been a significant progress of context awareness due to sensor and mobility technologies and machine learning for their interpretation. A large part of the user's context is determined by her/his location. Since the notion of indoor ...
Spatio-Temporal Metadata Querying for CCTV Video Retrieval: Application in Forensic
The use of mobile devices and the development of geo-positioning technologies make applications that use location-based services very attractive and useful. These applications are composed of sensors that generate various and heterogeneous spatio-...
Real-time Symbolic Indoor Map Matching
Recently, many indoor positioning methods have been developed such as Wi-Fi positioning, Geo-magnetic sensor positioning, Ultra-Wide Band (UWB) positioning, and Pedestrian Dead Reckoning (PDR). These indoor positioning methods provide (x, y, z) ...
Keyword-aware Skyline Routes Search in Indoor Venues
Route planning has been extensively studied in the past few years due to its real-world applications. A route planning query returns an optimal route that starts from the source location, passes through at least one location from each given preference (...
- Proceedings of the 9th 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% |