Fusion Positioning System Based on IMU and Roadside LiDAR in Tunnel for C-V2X Use Chongqing University, China

Format:

Book

Conference/Event

Author/Creator:

Wang, Bosi, author.

Contributor:

Chen, Xinhai

Sun, Dihua

Wu, Chao

Zhang, Disi

Zu, Hui

Conference Name:

3rd International Forum on Connected Automated Vehicle Highway System through the China Highway & Transportation Society (2020-10-29 : Jinan, China)

Language:

English

Physical Description:

1 online resource cm

Place of Publication:

Warrendale, PA SAE International 2020

Summary:

High-precision positioning is an indispensable function of connecting vehicles (CVs) and autonomous vehicles (AVs). In general, the connected vehicles based on C-V2X communication technology rely heavily on absolute positioning data. Compared with ordinary intelligent vehicles, high-precision positioning data is more important for networked vehicles. The high-precision positioning function could be obtained by integrating Global Navigation Satellite System (GNSS), Ground-based Augmentation System (GBAS), inertial measurement unit (IMU), wheel speed sensor and other position or attitude sensors in the open area. However, it is still difficult to obtain accurate absolute position information in a signal shielding area such as a tunnel, especially for high speed vehicle use. To solve the problem, this paper designs and implements a fusion positioning system (FPS) based on IMU and roadside LiDAR data, and is mainly used for C-V2X tunnel scenarios. An IMU and roadside LiDAR fusion positioning method is also proposed for enhancing the accuracy of positioning. The field experiments compared with RTK and single point positioning show that, in the tunnel scenarios, the average position error of the proposed method is sub-meter level, and is the lowest and most stable, which can meet the needs of the C-V2X security application for CVs

Notes:

Vendor supplied data

Publisher Number:

2020-01-5184

Access Restriction:

Restricted for use by site license