Smartphone-Based Real Time Vehicle Tracking in Indoor Parking Structures

doi:10.1109/TMC.2017.2684167

CORC > 北京大学 > 信息科学技术学院

	Smartphone-Based Real Time Vehicle Tracking in Indoor Parking Structures
	Gao, Ruipeng ; Zhao, Mingmin ; Ye, Tao ; Ye, Fan ; Wang, Yizhou ; Luo, Guojie
刊名	IEEE TRANSACTIONS ON MOBILE COMPUTING
	2017
关键词	Vehicle real time tracking indoor environments
DOI	10.1109/TMC.2017.2684167
英文摘要	Although location awareness and turn-by-turn instructions are prevalent outdoors due to GPS, we are back into the darkness in uninstrumented indoor environments such as underground parking structures. We get confused, disoriented when driving in these mazes, and frequently forget where we parked, ending up circling back and forth upon return. In this paper, we propose VeTrack, asmartphone-only system that tracks the vehicle's location in real time using the phone's inertial sensors. It does not require any environment instrumentation or cloud backend. It uses a novel "shadow" trajectory tracing method to accurately estimate phone's and vehicle's orientations despite their arbitrary poses and frequent disturbances. We develop algorithms in a Sequential Monte Carlo framework to represent vehicle states probabilistically, and harness constraints by the garage map and detected landmarks to robustly infer the vehicle location. We also find landmark (e.g., speed bumps, turns) recognition methods reliable against noises, disturbances from bumpy rides, and even hand-held movements. We implement a highly efficient prototype and conduct extensive experiments in multiple parking structures of different sizes and structures, and collect data with multiple vehicles and drivers. We find that VeTrack can estimate the vehicle's real time location with almost negligible latency, with error of 2 similar to 4 parking spaces at the 80th percentile.; US National Science Foundation [CNS 1513719]; NSFC [61625201, 61231010]; BJTU [R16RC00030]; SCI(E); ARTICLE; 7; 2023-2036; 16
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/472554]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Gao, Ruipeng,Zhao, Mingmin,Ye, Tao,et al. Smartphone-Based Real Time Vehicle Tracking in Indoor Parking Structures[J]. IEEE TRANSACTIONS ON MOBILE COMPUTING,2017.
APA	Gao, Ruipeng,Zhao, Mingmin,Ye, Tao,Ye, Fan,Wang, Yizhou,&Luo, Guojie.(2017).Smartphone-Based Real Time Vehicle Tracking in Indoor Parking Structures.IEEE TRANSACTIONS ON MOBILE COMPUTING.
MLA	Gao, Ruipeng,et al."Smartphone-Based Real Time Vehicle Tracking in Indoor Parking Structures".IEEE TRANSACTIONS ON MOBILE COMPUTING (2017).