Title
Feature Detection for Vehicle Localization in Urban Environments Using a Multilayer LIDAR.
Abstract
Localization is an important component of autonomous vehicles, as it enables the accomplishment of tasks, such as path planning and navigation. Although vehicle position can be obtained by GNSS devices, they are susceptible to errors and satellite signal unavailability in urban scenarios. Several map-aided localization solution methods have been proposed in the literature, but mostly for indoor en...
Year
DOI
Venue
2016
10.1109/TITS.2015.2477817
IEEE Transactions on Intelligent Transportation Systems
Keywords
Field
DocType
Roads,Laser radar,Vehicles,Feature extraction,Asphalt,Calibration,Nonhomogeneous media
Motion planning,Computer vision,Least trimmed squares,Digital mapping,Simulation,Feature extraction,Unavailability,Artificial intelligence,GNSS applications,Engineering,Thresholding,Monte Carlo localization
Journal
Volume
Issue
ISSN
17
2
1524-9050
Citations 
PageRank 
References 
14
0.66
0
Authors
2
Name
Order
Citations
PageRank
Alberto Yukinobu Hata1717.75
Denis Fernando Wolf2479.86