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Content Provider | IEEE Xplore Digital Library |
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Author | Lategahn, H. Stiller, C. |
Copyright Year | 2012 |
Description | Author affiliation: Institute of Measurement and Control, Karlsruhe Institute of Technology, Germany (Lategahn, H.; Stiller, C.) |
Abstract | Next generation driver assistance systems require a precise localization. However, global navigation satellite systems (GNSS) often exhibit a paucity of accuracy due to shadowing effects in street canyon like scenarios rendering this solution insufficient for many tasks. Alternatively 3D laser scanners can be utilized to localize the vehicle within a previously recorded 3D map. These scanners however, are expensive and bulky hampering a wide spread use. Herein we propose to use stereo cameras to localize the ego vehicle within a previously computed visual 3D map. The proposed localization solution is low cost, precise and runs in real time. The map is computed once and kept fixed thereafter using cameras as sole sensors without GPS readings. The presented mapping algorithm is largely inspired by current state of the art simultaneous localization and mapping (SLAM) methods. Moreover, the map merely consists of a sparse set of landmark points keeping the map storage manageably low. |
Starting Page | 1 |
Ending Page | 6 |
File Size | 1436384 |
Page Count | 6 |
File Format | |
ISBN | 9781467309929 |
e-ISBN | 9781467309936 |
DOI | 10.1109/ICVES.2012.6294279 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2012-07-24 |
Publisher Place | Turkey |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Visualization Cameras Feature extraction Vectors Least squares approximation Vehicles Global Positioning System |
Content Type | Text |
Resource Type | Article |
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