Lane-level localization is the basis for successful deployment of Intelligent Transportation Systems. Global Navigation Satellite System can provide lane-level position in open (non-obstructed) environments. A new area of research aims for a collaborative approach to localization where one vehicle can leverage the localization information from other vehicles. A Dedicated Short Range Communication (DSRC) message has all surrounding vehicles' location data and complementing this message is its Received Signal Strength (RSS). The RSS from a DSRC message can be used as a relative ranging sensor to a vehicle with known location allowing for recovery of one's own absolute position. In this paper, we present a successful implementation of absolute localization via ranging from RSS using an extensive dataset collected from 30 DSRC equipped vehicles. First, we analyze the obstacles to localization via RSS and propose a set of methods for absolute localization from the RSS of DSRC messages. We then integrate our methods with vehicle dynamics and demonstrate that a practical absolute localization can be recovered from RSS. Finally, we demonstrate our algorithms' absolute positioning potential for both static and dynamic environments.
Absolute Localization via DSRC Signal Strength
01.09.2016
1607254 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Wiley | 2012
|SAE Technical Papers | 2015
|British Library Conference Proceedings | 2015
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