Title | ||
---|---|---|
Feature Detection for Vehicle Localization in Urban Environments Using a Multilayer LIDAR. |
Abstract | ||
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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 Hata | 1 | 71 | 7.75 |
Denis Fernando Wolf | 2 | 47 | 9.86 |