Title
NDT Localization with 2D Vector Maps and Filtered LiDAR Scans
Abstract
High accuracy localization is a basic requirement for autonomous vehicles navigation. However, in urban environments, Global Navigation Satellite Systems (GNSS) suffer from Non-Line of Sight (NLoS) signals, multipath and sometimes a limited number of visible satellites, degrading the localization accuracy. Maps with georeferenced features are a means to address this issue. In this paper, an open a...
Year
DOI
Venue
2021
10.1109/ECMR50962.2021.9568809
2021 European Conference on Mobile Robots (ECMR)
Keywords
DocType
ISBN
Map aided localization,Point cloud filtering,Normal Distributions Transform,Autonomous vehicles
Conference
978-1-6654-1213-1
Citations 
PageRank 
References 
1
0.36
0
Authors
3
Name
Order
Citations
PageRank
Maxime Escourrou110.36
Joelle Al Hage210.36
Philippe Bonnifait345255.82