@inproceedings{,
    author = {Schütz, Andreas; Sánchez Morales, Daniela; Pany, Thomas},
    title = {Precise Positioning Through a Loosely-coupled Sensor Fusion of GNSS-RTK, INS and LiDAR for Autonomous Driving},
    editor = {},
    booktitle = {IEEE/ION Position, Location and Navigation Symposium (PLANS) : September 23-25, 2020 St. Louis, Missouri},
    series = {},
    journal = {},
    address = {Piscataway, NJ},
    publisher = {IEEE},
    edition = {},
    year = {2020},
    isbn = {978-1-7281-0244-3 ; 978-1-7281-9446-2},
    volume = {},
    number =  {},
    pages = {219-225},
    url = {https://doi.org/10.1109/PLANS46316.2020.9109934},
    doi = {10.1109/PLANS46316.2020.9109934},
    keywords = {sensor fusion ; GNSS/INS/LiDAR integration ; loosely coupled filter ; precise positioning ; autonomous driving},
    abstract = {In this paper we describe the integration done
between GNSS-RTK/INS/LiDAR in a loosely coupled Kalman
Filter in the context of autonomous driving applications.
Specifically, we focus in the assessment of potential LiDAR
updates by comparing the velocity profile obtained by the
GNSS/INS integration solution and the LiDAR observations. The
results from a test drive are shown to provide an insight of the
advantages of using the LiDAR updates in GNSS denied
environments.},
    note = {},
    institution = {Universität der Bundeswehr München, Fakultät für Luft- und Raumfahrttechnik, LRT 9 - Institut für Raumfahrttechnik und Weltraumnutzung, Professur: Pany, Thomas},
    
    
}