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.