The anatomy of a context-aware application
MobiCom '99 Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking
The Cricket location-support system
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
A relative positioning system for co-located mobile devices
Proceedings of the 3rd international conference on Mobile systems, applications, and services
WALRUS: wireless acoustic location with room-level resolution using ultrasound
Proceedings of the 3rd international conference on Mobile systems, applications, and services
The Horus WLAN location determination system
Proceedings of the 3rd international conference on Mobile systems, applications, and services
The design and implementation of a self-calibrating distributed acoustic sensing platform
Proceedings of the 4th international conference on Embedded networked sensor systems
BeepBeep: a high accuracy acoustic ranging system using COTS mobile devices
Proceedings of the 5th international conference on Embedded networked sensor systems
SurroundSense: mobile phone localization via ambience fingerprinting
Proceedings of the 15th annual international conference on Mobile computing and networking
Empirical evaluation of the limits on localization using signal strength
SECON'09 Proceedings of the 6th Annual IEEE communications society conference on Sensor, Mesh and Ad Hoc Communications and Networks
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
CODES/ISSS '10 Proceedings of the eighth IEEE/ACM/IFIP international conference on Hardware/software codesign and system synthesis
Indoor localization without infrastructure using the acoustic background spectrum
MobiSys '11 Proceedings of the 9th international conference on Mobile systems, applications, and services
Whistle: Synchronization-Free TDOA for Localization
ICDCS '11 Proceedings of the 2011 31st International Conference on Distributed Computing Systems
Detecting driver phone use leveraging car speakers
MobiCom '11 Proceedings of the 17th annual international conference on Mobile computing and networking
I am the antenna: accurate outdoor AP location using smartphones
MobiCom '11 Proceedings of the 17th annual international conference on Mobile computing and networking
On the feasibility of real-time phone-to-phone 3D localization
Proceedings of the 9th ACM Conference on Embedded Networked Sensor Systems
WiGEM: a learning-based approach for indoor localization
Proceedings of the Seventh COnference on emerging Networking EXperiments and Technologies
Virtual compass: relative positioning to sense mobile social interactions
Pervasive'10 Proceedings of the 8th international conference on Pervasive Computing
Sensing vehicle dynamics for determining driver phone use
Proceeding of the 11th annual international conference on Mobile systems, applications, and services
Guoguo: enabling fine-grained indoor localization via smartphone
Proceeding of the 11th annual international conference on Mobile systems, applications, and services
From RSSI to CSI: Indoor localization via channel response
ACM Computing Surveys (CSUR)
Indoor localization technology and algorithm issues
Proceedings of the 2014 on International symposium on physical design
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Highly accurate indoor localization of smartphones is critical to enable novel location based features for users and businesses. In this paper, we first conduct an empirical investigation of the suitability of WiFi localization for this purpose. We find that although reasonable accuracy can be achieved, significant errors (e.g., $6\sim8m$) always exist. The root cause is the existence of distinct locations with similar signatures, which is a fundamental limit of pure WiFi-based methods. Inspired by high densities of smartphones in public spaces, we propose a peer assisted localization approach to eliminate such large errors. It obtains accurate acoustic ranging estimates among peer phones, then maps their locations jointly against WiFi signature map subjecting to ranging constraints. We devise techniques for fast acoustic ranging among multiple phones and build a prototype. Experiments show that it can reduce the maximum and 80-percentile errors to as small as $2m$ and $1m$, in time no longer than the original WiFi scanning, with negligible impact on battery lifetime.