A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
An Environment-Aware Sequence-Based Localization Algorithm for Supporting Building Emergency Response Operations
Building emergencies are big threats to the safety of building occupants and first responders. When emergencies occur, unfamiliar environments are difficult and dangerous for first responders to search and rescue, sometimes leading to secondary casualties. One way to reduce such hazards is to provide first responders with timely access to accurate location information. Despite its importance, access to the location information at emergency scenes is far from being automated and efficient. This paper identifies a set of requirements for indoor localization during emergency response operations through a nationwide survey, and proposes an environment-aware, sequence-based localization algorithm that is free of signal path loss models or collection of prior data, and mitigates signal multipath effects. The algorithm enables efficient on-scene ad-hoc sensor network deployment and optimizes sensing space division by strategically selecting sensor node locations. Building information is integrated in order to enable building-specific space divisions and to support context-based visualization of localization results. Proposed algorithm is evaluated through a building-size simulation. Room-level accuracy of up to 87.3% was reported, and up to 15.0% of deployment effort was reduced compared with using randomly selected sensor locations. The algorithm also showed good computational speed, with negligible time required for refreshing location estimation results in simulation.
An Environment-Aware Sequence-Based Localization Algorithm for Supporting Building Emergency Response Operations
Building emergencies are big threats to the safety of building occupants and first responders. When emergencies occur, unfamiliar environments are difficult and dangerous for first responders to search and rescue, sometimes leading to secondary casualties. One way to reduce such hazards is to provide first responders with timely access to accurate location information. Despite its importance, access to the location information at emergency scenes is far from being automated and efficient. This paper identifies a set of requirements for indoor localization during emergency response operations through a nationwide survey, and proposes an environment-aware, sequence-based localization algorithm that is free of signal path loss models or collection of prior data, and mitigates signal multipath effects. The algorithm enables efficient on-scene ad-hoc sensor network deployment and optimizes sensing space division by strategically selecting sensor node locations. Building information is integrated in order to enable building-specific space divisions and to support context-based visualization of localization results. Proposed algorithm is evaluated through a building-size simulation. Room-level accuracy of up to 87.3% was reported, and up to 15.0% of deployment effort was reduced compared with using randomly selected sensor locations. The algorithm also showed good computational speed, with negligible time required for refreshing location estimation results in simulation.
An Environment-Aware Sequence-Based Localization Algorithm for Supporting Building Emergency Response Operations
Li, Nan (author) / Becerik-Gerber, Burcin (author) / Krishnamachari, Bhaskar (author) / Soibelman, Lucio (author)
ASCE International Workshop on Computing in Civil Engineering ; 2013 ; Los Angeles, California
Computing in Civil Engineering (2013) ; 549-556
2013-06-24
Conference paper
Electronic Resource
English
| British Library Conference Proceedings | 2013
A BIM centered indoor localization algorithm to support building fire emergency response operations
| Online Contents | 2014
A BIM centered indoor localization algorithm to support building fire emergency response operations
| British Library Online Contents | 2014
| British Library Online Contents | 2010