GNSS High-Precision Augmentation for Autonomous Vehicles: Requirements, Solution, and Technical Challenges

Author:

Chen Liang1,Zheng Fu2,Gong Xiaopeng3ORCID,Jiang Xinyuan4

Affiliation:

1. School of Geomatics, Liaoning Technical University, 47 Zhonghua Road, Fuxin 123000, China

2. School of Electronic and Information Engineering, Beihang University, 37 Xueyuan Road, Beijing 100191, China

3. GNSS Research Center, Wuhan University, 129 Luoyu Road, Wuhan 430079, China

4. German Research Centre for Geosciences (GFZ), 14473 Potsdam, Germany

Abstract

Autonomous driving is becoming a pivotal technology that can realize intelligent transportation and revolutionize the future of mobility. Various types of sensors, including perception sensors and localization sensors, are essential for high-level autonomous and intelligent vehicles (AIV). In this paper, the characteristics of different sensors are compared, and the application characteristics and requirements of AIV are analyzed in depth. These analyses indicate that: GNSS, as the unique localization sensor that can obtain an absolute position, can not only provide all-weather position and time information for internal multi-sensor fusion but also act as a standard spatiotemporal reference for all autonomous systems; Furthermore, AIVs aim to provide safety for a mass user base ranging from tens to hundreds of millions; for this, AIVs require a global wide-area and instantaneous precise positioning service with location privacy protection. Based on a “geometry-bound” description of road grade and vehicle size, it has been found that GNSS requirements in autonomous vehicles include decimeter-level positioning with the assurance of high integrity. Combined with high-integrity GNSS implementation in the civil aviation field, GNSS different technology routes, and commercial solutions, a state space representation (SSR)-based GNSS high-precision augmentation positioning solution for AIV is summarized and introduced. The solution can achieve instantaneous, precise positioning with high integrity in a wide area by utilizing passive positioning mode with location privacy protection. In addition, the research progress on key technologies in the solution and existing challenges is investigated in detail by reviewing a series of publications.

Funder

Young Elite Scientists Sponsorship Program by CAST

China Postdoctoral Science Foundation

Beijing Postdoctoral Research Foundation

Beijing Nova Program

Publisher

MDPI AG

Subject

General Earth and Planetary Sciences

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