DocumentCode
2043274
Title
A cooperative high-accuracy localization algorithm for improved road workers´ safety
Author
Dayal, Sankalp ; Mortazavi, Adam ; Huynh, Khanh H. ; Gerges, Ramez L. ; Shynk, John J.
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of California, Santa Barbara, Santa Barbara, CA, USA
fYear
2013
fDate
3-6 Nov. 2013
Firstpage
1709
Lastpage
1713
Abstract
This paper describes a high-accuracy localization algorithm that improves the safety of roadway workers. The proposed system consists of a wireless sensor network (WSN) of smart cones that includes a centralized master node and several sensor nodes. The master cone maps the topology of all sensor cones placed along the periphery of a work zone, with the goal of providing decimeter location accuracy. The low-mobility smart cone network can detect vehicles that intrude on a work zone, alert construction workers of impending danger, and notify high-mobility vehicles approaching the work zone. The master cone creates a work zone topology by estimating angles and distances relative to the sensor cones using radio interferometric measurements (RIM) and received signal strength indication (RSSI) measurements. Computer simulations characterize the performance that can be achieved for realistic environment conditions.
Keywords
intelligent sensors; occupational safety; personnel; radio direction-finding; radiotelemetry; telecommunication network topology; wireless sensor networks; RIM; RSSI measurement; WSN; centralized master node; cooperative high-accuracy localization algorithm; decimeter location accuracy; high-mobility vehicle; low-mobility smart cone network; radio interferometric measurement; received signal strength indication measurement; road worker safety; vehicle detection; wireless sensor network; work zone periphery; work zone topology; Accuracy; Antenna measurements; Frequency measurement; Safety; Topology; Vehicles; Wireless sensor networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Signals, Systems and Computers, 2013 Asilomar Conference on
Conference_Location
Pacific Grove, CA
Print_ISBN
978-1-4799-2388-5
Type
conf
DOI
10.1109/ACSSC.2013.6810592
Filename
6810592
Link To Document