Cooperative positioning (CP) is an approach for positioning and/or positioning enhancement among a number of participants, which communicate and fuse their position-related information. Due to the shortcomings of Global Navigation Satellite Systems (GNSSs), modern CP approaches are considered for improving vehicular positioning where the GNSS cannot address the requirements of the specific applications such as collision avoidance or lane-level positioning. An inertial navigation system (INS) has not been considered for CP in the literature. The hybrid INS/GNSS methods used for positioning enhancement in standalone nodes cannot be classified as CP because the position-related data are not communicated between at least two independent entities. In this paper, we present a novel CP technique to improve INS-based positioning in vehicular networks. This cooperative inertial navigation (CIN) method can be used to enhance INS-based positioning in difficult GNSS environments, such as in very dense urban areas and tunnels. In the CIN method that is proposed, vehicles communicate their inertial measurement unit (IMU) and INS-based position data with oncoming vehicles traveling in the opposite direction. Each vehicle fuses the received data with those locally observed and the carrier frequency offset (CFO) of the received packets to improve the accuracy of its position estimates. The proposed method is analyzed using simulations and is also experimentally verified. The experimental results show up to 72% improvement in positioning over the standalone INS-based method.
Cooperative Inertial Navigation for GNSS-Challenged Vehicular Environments
IEEE Transactions on Intelligent Transportation Systems ; 14 , 3 ; 1370-1379
2013-09-01
1499203 byte
Article (Journal)
Electronic Resource
English
Cooperative Inertial Navigation for GNSS-Challenged Vehicular Environments
Online Contents | 2013
|Cooperative Detection of Multiple GNSS Satellite Signals in GNSS-Challenged Environments
British Library Conference Proceedings | 2015
|British Library Conference Proceedings | 2016
|An Aerial and Ground Multi-Agent Cooperative Location Framework in GNSS-Challenged Environments
BASE | 2023
|LOCALIZATION OF RFI EMITTERS IN GNSS CHALLENGED ENVIRONMENTS
Springer Verlag | 2024
|