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Proceedings of the 4th ACM international symposium on Mobile ad hoc networking & computing
Poster abstract: anchor-free distributed localization in sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
Vivaldi: a decentralized network coordinate system
Proceedings of the 2004 conference on Applications, technologies, architectures, and protocols for computer communications
Practical robust localization over large-scale 802.11 wireless networks
Proceedings of the 10th annual international conference on Mobile computing and networking
Error characteristics and calibration-free techniques for wireless LAN-based location estimation
Proceedings of the second international workshop on Mobility management & wireless access protocols
Robust distributed network localization with noisy range measurements
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
ARIADNE: a dynamic indoor signal map construction and localization system
Proceedings of the 4th international conference on Mobile systems, applications and services
Advanced integration of WIFI and inertial navigation systems for indoor mobile positioning
EURASIP Journal on Applied Signal Processing
Localization of Walking or Running User with Wearable 3D Position Sensor
ICAT '07 Proceedings of the 17th International Conference on Artificial Reality and Telexistence
Pedestrian localisation for indoor environments
UbiComp '08 Proceedings of the 10th international conference on Ubiquitous computing
SurroundSense: mobile phone localization via ambience fingerprinting
Proceedings of the 15th annual international conference on Mobile computing and networking
Simultaneous localization and mapping for pedestrians using only foot-mounted inertial sensors
Proceedings of the 11th international conference on Ubiquitous computing
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IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Unsupervised Learning for Solving RSS Hardware Variance Problem in WiFi Localization
Mobile Networks and Applications
Growing an organic indoor location system
Proceedings of the 8th international conference on Mobile systems, applications, and services
Did you see Bob?: human localization using mobile phones
Proceedings of the sixteenth annual international conference on Mobile computing and networking
Indoor localization without the pain
Proceedings of the sixteenth annual international conference on Mobile computing and networking
Activity recognition using cell phone accelerometers
ACM SIGKDD Explorations Newsletter
No need to war-drive: unsupervised indoor localization
Proceedings of the 10th international conference on Mobile systems, applications, and services
Locating in fingerprint space: wireless indoor localization with little human intervention
Proceedings of the 18th annual international conference on Mobile computing and networking
Zee: zero-effort crowdsourcing for indoor localization
Proceedings of the 18th annual international conference on Mobile computing and networking
A reliable and accurate indoor localization method using phone inertial sensors
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
SSD: A Robust RF Location Fingerprint Addressing Mobile Devices' Heterogeneity
IEEE Transactions on Mobile Computing
ZIMO: building cross-technology MIMO to harmonize zigbee smog with WiFi flash without intervention
Proceedings of the 19th annual international conference on Mobile computing & networking
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We present Walkie-Markie - an indoor pathway mapping system that can automatically reconstruct internal pathway maps of buildings without any a-priori knowledge about the building, such as the floor plan or access point locations. Central to Walkie-Markie is a novel exploitation of the WiFi infrastructure to define landmarks (WiFi-Marks) to fuse crowdsourced user trajectories obtained from inertial sensors on users' mobile phones. WiFi-Marks are special pathway locations at which the trend of the received WiFi signal strength changes from increasing to decreasing when moving along the pathway. By embedding these WiFi-Marks in a 2D plane using a newly devised algorithm and connecting them with calibrated user trajectories, Walkie-Markie is able to infer pathway maps with high accuracy. Our experiments demonstrate that Walkie-Markie is able to reconstruct a high-quality pathway map for a real office-building floor after only 5-6 rounds of walks, with accuracy gradually improving as more user data becomes available. The maximum discrepancy between the inferred pathway map and the real one is within 3m and 2.8m for the anchor nodes and path segments, respectively.