Abstract
Precise position awareness is a fundamental requirement for advanced applications of emerging intelligent transportation systems, such as collision warning and speed advisory system. However, the achievable level of positioning accuracy using global navigation satellite systems does not meet the requirements of these applications. Fortunately, cooperative positioning (CP) techniques can improve the performance of positioning in a vehicular ad hoc network (VANET) through sharing the positions between vehicles. In this paper, a novel enhanced CP technique is presented by combining additional range-ultra-wide bandwidth- (UWB-) based measurements. Furthermore, an adaptive variational Bayesian cubature Kalman filtering (AVBCKF) algorithm is proposed and used in the enhanced CP method, which can add robustness to the time-variant measurement noise. Based on analytical and experimental results, the proposed AVBCKF-based CP method outperforms the cubature Kalman filtering- (CKF-) based CP method and extended Kalman filtering- (EKF-) based CP method.
Highlights
Maintaining the availability of absolute position is a significant challenge for many applications such as intelligent transportation systems (ITS) [1] and location based services (LBS) [2]
An adaptive variational Bayesian cubature Kalman filtering is proposed as the cooperative positioning (CP) algorithm
The major focus of the algorithm is to improve the performance of absolute position estimation in emerging intelligent transportation systems
Summary
Maintaining the availability of absolute position is a significant challenge for many applications such as intelligent transportation systems (ITS) [1] and location based services (LBS) [2]. Several techniques have been proposed to improve the GPS positioning performance, such as realtime kinematic (RTK) [3], differential GPS (DGPS) [4], and satellite/ground-based augmentation systems [5]. These techniques rely on the infrastructures and cannot perform well in urban environments due to limited view of the sky, multipath interference, and unavailability of line of sight. An enhanced CP method by utilizing the ultra-wideband- (UWB-) based-range measurements is proposed. It focuses on the absolute positioning in emerging intelligent transportation systems.
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
