VeLoc: finding your car in the parking lot

@inproceedings{Zhao2014VeLocFY,
  title={VeLoc: finding your car in the parking lot},
  author={Mingmin Zhao and Ruipeng Gao and Jiaxu Zhu and Tao Ye and Fan Ye and Yizhou Wang and Kaigui Bian and Guojie Luo and Ming Zhang},
  booktitle={SenSys},
  year={2014}
}
We present VeLoc, a smartphone-based vehicle localization approach that tracks the vehicle's parking location without GPS or WiFi signals. It uses only the embedded accelerometer and gyroscope sensors. VeLoc harnesses constraints imposed by the map and landmarks (e.g., speed bumps) recognized from inertial data, employs a Bayesian filtering framework to estimate the location of the vehicle. We have conducted experiments in three parking structures of different sizes and configurations, using… CONTINUE READING

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Key Quantitative Results

  • Landmark detection performance Bump Turn Slope Precision 87% 100% 97% Recall 83% 100% 95% Localization performance.