Integrity Concept for Sensor Fusion Algorithms used in a Prototype Vehicle for Automated Driving

For automated driving high-integrity localization information is essential. Often sensor fusion algorithms are used to fulfill this task. In this work three implementations of integrity concepts for such algorithms used in automated driving are compared. Therefore, requirements for sensor fusion algorithms used for automated driving functions of a prototype vehicle in a German research project are derived. Known integrity concepts are reviewed. A selection of three concepts that include the computation of protection levels is implemented. They are evaluated using a set of measurement data obtained for our loosely coupled GNSS/INS/Odometry fusion algorithm. With the chosen set of tuning parameters, all implemented protection levels bound the horizontal position error in the given measurements according to the specified integrity risk.

[1]  Mathieu Joerger,et al.  Sequential Integrity Monitoring for Kalman Filter Innovations-based Detectors , 2018, Proceedings of the 31st International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS+ 2018).

[2]  Taxonomy and definitions for terms related to driving automation systems for on-road motor vehicles , 2022 .

[3]  Hermann Winner,et al.  UNICARagil - Disruptive Modular Architectures for Agile, Automated Vehicle Concepts , 2018 .

[4]  Sam Pullen,et al.  Enhanced Navigation, Robustness, and Safety Assurance for Autonomous Vehicles as Part of the Globalstar Connected Car Program , 2018, Proceedings of the 31st International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS+ 2018).

[5]  Heidi Kuusniemi,et al.  User-Level Reliability and Quality Monitoring in Satellite-Based Personal Navigation , 2005 .

[6]  Pedro F. Navarro Madrid,et al.  Computing Meaningful Integrity Bounds of a Low-cost Kalman-filtered Navigation Solution in Urban Environments , 2015 .

[7]  William Whittaker,et al.  Autonomous driving in urban environments: Boss and the Urban Challenge , 2008, J. Field Robotics.

[8]  Julius Ziegler,et al.  Making Bertha Drive—An Autonomous Journey on a Historic Route , 2014, IEEE Intelligent Transportation Systems Magazine.

[9]  Graham Mills,et al.  Localization Requirements for Autonomous Vehicles , 2019, SAE International Journal of Connected and Automated Vehicles.

[10]  Haiyin Zhou,et al.  Evaluation of GNSS Receiver Autonomous Integrity Monitoring for multiple outliers with a smart random sample consensus strategy , 2011, 2011 19th International Conference on Geoinformatics.

[11]  Kazuma Gunning,et al.  Design and Evaluation of Integrity Algorithms for PPP in Kinematic Applications , 2018 .

[12]  Haiying Liu,et al.  Research on integrity monitoring for integrated GNSS/SINS system , 2010, The 2010 IEEE International Conference on Information and Automation.

[13]  Jinling Wang,et al.  Extended Receiver Autonomous Integrity Monitoring (eRAIM) for GNSS/INS Integration , 2010 .

[14]  Daniel Watzenig,et al.  Introduction to Automated Driving , 2017 .

[15]  E. Domínguez Tijero,et al.  High Accuracy Positioning Engine with an Integrity Layer for Safety Autonomous Vehicles , 2018 .

[16]  Christoph Gustav Keller,et al.  Integrity for autonomous driving: A survey , 2016, 2016 IEEE/ION Position, Location and Navigation Symposium (PLANS).

[17]  P. Groves.  Principles of GNSS, Inertial, and Multi-Sensor Integrated Navigation Systems , 2007 .

[18]  D.P. Garg,et al.  A generalized approach for inconsistency detection in data fusion from multiple sensors , 2006, 2006 American Control Conference.

[19]  P. F. Navarro Madrid,et al.  PPP Integrity for Advanced Applications, Including Field Trials with Galileo, Geodetic and Low-Cost Receivers, and a Preliminary Safety Analysis , 2016 .

[20]  Björn Reuper,et al.  Multi-Frequency GNSS Sensor Fusion With Quality Assessment for Automotive Applications , 2020 .

[21]  Christian Tiberius,et al.  Quality Control in SBAS: Protection Levels and Reliability Levels , 2009, Journal of Navigation.