Probabilistic Integration of GNSS for Safety-Critical Driving Functions and Automated Driving-the NAVENTIK Project

被引：1

作者：

Streiter, Robin ^{[1
]}

Hiltscher, Johannes ^{[2
]}

Bauer, Sven ^{[2
]}

Juettner, Michael ^{[2
]}

机构：

[1] Tech Univ Chemnitz, Reichenhainer Str 70, D-09126 Chemnitz, Germany

[2] NAVENTIK GmbH, Reichenhainer Str 70, Chemnitz, Germany

来源：

ADVANCED MICROSYSTEMS FOR AUTOMOTIVE APPLICATIONS 2016: SMART SYSTEMS FOR THE AUTOMOBILE OF THE FUTURE | 2016年

关键词：

GNSS; Localization; Automated driving; Safety requirements; Functional safety;

D O I：

10.1007/978-3-319-44766-7_2

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The NAVENTIK project will develop an automotive platform for computational demanding applications in the field of sensor data fusion and software defined radio. Based on this platform, the first component launched will be an automotive-grade GNSS (Global Navigation Satellite System) receiver that integrates state-of-the-art signal processing for lane level accurate navigation and that guarantees bounded false alarm rates. This is possible, thanks to a software-defined approach and the probabilistic integration of GNSS signal tracking algorithms on radio level. The explicit modelling of GNSS error sources and local signal degradation provide the basis for the proper Bayesian integration. The project will enable the first mass-market GNSS receiver based on a software-defined approach that is able to meet safety-critical requirements as it copes with false alarm specifications and safety related requirements.

引用

页码：19 / 29

页数：11

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