SmartLoc: sensing landmarks silently for smartphone-based metropolitan localization

@article{Bo2016SmartLocSL,
  title={SmartLoc: sensing landmarks silently for smartphone-based metropolitan localization},
  author={Cheng Bo and Taeho Jung and XuFei Mao and Xiangyang Li and Yu Wang},
  journal={EURASIP Journal on Wireless Communications and Networking},
  year={2016},
  volume={2016},
  pages={1-17}
}
  • Cheng Bo, Taeho Jung, +2 authors Yu Wang
  • Published 30 August 2013
  • Computer Science
  • EURASIP Journal on Wireless Communications and Networking
We present SmartLoc, a system to estimate the location and the traveling distance of a vehicle in urban environments by leveraging the lower-power inertial sensors (e.g., accelerometer, gyroscope, compass) embedded in smartphones. It has been well documented that the inherent noise in the data measured from these sensors will result in a huge drift in the final estimated moving distance and hurt the performance of location-based applications. In SmartLoc, we designed, tested, and evaluated a… Expand
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References

SHOWING 1-10 OF 94 REFERENCES
SmartLoc: push the limit of the inertial sensor based metropolitan localization using smartphone
TLDR
SmartLoc exploits the intermittent strong GPS signals and uses the linear regression to build a prediction model which is based on the trace estimated from inertial sensors and the one computed from the GPS to improve the localization accuracy when the GPS signal is weak. Expand
Accurate, Low-Energy Trajectory Mapping for Mobile Devices
TLDR
CTrack is an energy-efficient system for trajectory mapping using raw position tracks obtained largely from cellular base station fingerprints that sequences cellular GSM fingerprints directly without converting them to geographic coordinates, and fuses data from low-energy sensors available on most commodity smart-phones. Expand
Zee: zero-effort crowdsourcing for indoor localization
TLDR
Zee is presented -- a system that makes the calibration zero-effort, by enabling training data to be crowdsourced without any explicit effort on the part of users. Expand
GAC: Energy-Efficient Hybrid GPS-Accelerometer-Compass GSM Localization
TLDR
This paper proposes GAC: a hybrid GPS/accelerometer/compass scheme that depends mainly on using the low-energy accelerometer and compass sensors and uses the GPS infrequently for synchronization. Expand
Towards Mobile Phone Localization without War-Driving
TLDR
This paper identifies the possibility of using electronic compasses and accelerometers in mobile phones, as a simple and scalable method of localization without war-driving, to enable greater coverage, while eliminating the reliance on WiFi infrastructure and expensive war- driving. Expand
No need to war-drive: unsupervised indoor localization
TLDR
UnLoc, an unsupervised indoor localization scheme that bypasses the need for war-driving, is proposed, believing this is an unconventional approach to indoor localization, holding promise for real-world deployment. Expand
VTrack: accurate, energy-aware road traffic delay estimation using mobile phones
TLDR
It is shown that VTrack can tolerate significant noise and outages in these location estimates, and still successfully identify delay-prone segments, and provide accurate enough delays for delay-aware routing algorithms. Expand
Personal Dead-reckoning System for GPS-denied Environments
  • L. Ojeda, J. Borenstein
  • Computer Science
  • 2007 IEEE International Workshop on Safety, Security and Rescue Robotics
  • 2007
TLDR
Specific problems of this small IMU are discussed, measures for eliminating these problems are described, and the first experimental results with thesmall IMU under different conditions are discussed. Expand
Non-GPS navigation with the personal dead-reckoning system
This paper introduces a positioning system for walking persons, called "Personal Dead-reckoning" (PDR) system. The PDR system does not require GPS, beacons, or landmarks. The system is thereforeExpand
Energy-accuracy trade-off for continuous mobile device location
TLDR
The design and prototype of an adaptive location service for mobile devices, a-Loc, that helps reduce this battery drain and improves the accuracy achieved, because it uses multiple sensors. Expand
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