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Authors:
Schütz, Andreas; Sánchez Morales, Daniela; Pany, Thomas 
Document type:
Konferenzbeitrag / Conference Paper 
Title:
Precise Positioning Through a Loosely-coupled Sensor Fusion of GNSS-RTK, INS and LiDAR for Autonomous Driving 
Title of conference publication:
IEEE/ION Position, Location and Navigation Symposium (PLANS) 
Subtitle of conference publication:
September 23-25, 2020 St. Louis, Missouri 
Conference title:
IEEE/ION Position, Location and Navigation Symposium (2020, Portland, OR) 
Venue:
Portland, OR 
Year of conference:
2020 
Date of conference beginning:
20.09.2020 
Date of conference ending:
23.09.2020 
Place of publication:
Piscataway, NJ 
Publisher:
IEEE 
Year:
2020 
Pages from - to:
219-225 
Language:
Englisch 
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. 
ISBN:
978-1-7281-0244-3 ; 978-1-7281-9446-2 
ISSN:
2153-3598 ; 2153-358X 
Department:
Fakultät für Luft- und Raumfahrttechnik 
Institute:
LRT 9 - Institut für Raumfahrttechnik und Weltraumnutzung 
Chair:
Pany, Thomas 
Open Access yes or no?:
Nein / No 
Fulltext information:

 
Fulltext version:
Preprint 
Fulltext OA license:
CC BY 3.0 DE