Integrating DSRC and dead-reckoning for cooperative vehicle positioning under GNSS-challenged vehicular environments. (2015)

• Record Type: Journal Article
• Authors: Liu, Jiang; Cai, Bai-gen; Wen, Ying-hong; Wang, Jian
• Is Part Of: International journal of ad hoc and ubiquitous computing. Volume 19:Number 1/2(2015)
• Page Start: 111
• Page End: 129
• Publication Date: 2015
• Subjects: dedicated short-range communication -- DSRC -- dead reckoning -- vehicular ad hoc networks -- VANETs -- ubiquitous computing -- cooperative positioning -- sensor information -- sensor fusion -- information fusion -- cooperative vehicle positioning -- GNSS -- global navigation satellite system -- urban areas -- cities -- carrier frequency offset -- CFO -- Bayesian filtering -- simulation; Ubiquitous computing -- Periodicals; Embedded computer systems -- Periodicals; Electronic data processing -- Distributed processing -- Periodicals; Wireless communication systems -- Periodicals; Computer architecture -- Periodicals; 004.2
• Languages: English
• ISSNs: 1743-8225

Abstract

As the fundamental information for describing the dynamic state of vehicles, vehicle position is a significant element for the cooperative vehicle infrastructure systems. Global navigation satellite system (GNSS) is considered as an effective approach for realising accurate and reliable vehicle positioning. To overcome the GNSS-challenged environments in urban areas, a low-cost cooperative vehicle positioning solution is proposed in this paper by exploring the capability of dedicated short range communication (DSRC) and dead reckoning (DR). The mechanism of DSRC-based cooperative positioning using the carrier frequency offset (CFO) observation is analysed. The Bayesian filtering scheme is employed for realising the information fusion of DSRC and DR, which promotes a DSRC/DR integration-based solution to compensate GNSS and achieve the desirable accuracy and availability. Results from a cooperative simulation platform show an encouraging performance stage of the proposed solution. Under the GNSS-challenged conditions, the accuracy and service availability are assured for supporting the cooperative vehicular applications.