TY - GEN
T1 - Poster abstract
T2 - 12th ACM Conference on Embedded Networked Sensor Systems, SenSys 2014
AU - Zhao, Mingmin
AU - Gao, Ruipeng
AU - Zhu, Jiaxu
AU - Ye, Tao
AU - Ye, Fan
AU - Wang, Yizhou
AU - Bian, Kaigui
AU - Luo, Guojie
AU - Zhang, Ming
PY - 2014/11/3
Y1 - 2014/11/3
N2 - 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 three vehicles and three kinds of driving styles. We find that VeLoc can always localize the vehicle within 10m, which is sufficient for the driver to trigger a honk using the car key.
AB - 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 three vehicles and three kinds of driving styles. We find that VeLoc can always localize the vehicle within 10m, which is sufficient for the driver to trigger a honk using the car key.
UR - https://www.scopus.com/pages/publications/84914147268
U2 - 10.1145/2668332.2668357
DO - 10.1145/2668332.2668357
M3 - Conference contribution
AN - SCOPUS:84914147268
T3 - SenSys 2014 - Proceedings of the 12th ACM Conference on Embedded Networked Sensor Systems
SP - 346
EP - 347
BT - SenSys 2014 - Proceedings of the 12th ACM Conference on Embedded Networked Sensor Systems
PB - Association for Computing Machinery
Y2 - 3 November 2014 through 6 November 2014
ER -