id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_xwpv56g5gbe5hg3awggpwntadi	Kun-Chan Lan	An intelligent driver location system for smart parking	2014	14	.pdf	application/pdf	12089	1179	69	We focus on the efficiency and accuracy of using a phone to monitor the driver's walking trajectory, applying a waist-mounted PDR method In addition, we design a map matching algorithm to calibrate the direction errors when the driver is in an indoor environment, using widelyavailable building floor plans. contrast, we utilize the sensors in the user's smart-phone to automatically infer the parking space's availability in advance by tracking the trajectory of the driver. Merminod, 2002), while in an indoor environment some PDR systems use a map matching mechanism to calibrate these errors our map-matching approach is its need to collect ''enough'' trajectory data before it can uniquely identify the user's position on the between the trajectory data and the map, we propose a new mapmatching method that uses the floor plan to locate the user. the step length is estimated based on the filtered sensor data and	./cache/work_xwpv56g5gbe5hg3awggpwntadi.pdf	./txt/work_xwpv56g5gbe5hg3awggpwntadi.txt