Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
5-2013
Abstract
In most autonomous driving applications, such as parking and commuting, a vehicle follows a previously taken route, or almost the same route. In this paper, we propose a method to localize a vehicle along a previously driven route using images. The proposed method consists of two stages: offline creation of a database, and online localization. In the offline stage, a database is created from images that are captured when the vehicle drives a route for the first time. The database consists of images, 3D positions of feature points estimated by structure-from-motion, and a topological graph. In the online stage, the method first identifies the database image that is most similar to the current image by topometric localization, which considers topological information on a metric scale. The vehicle poses are then estimated from the 3D-2D correspondences of matching feature points between the current image and the identified database image. In an experiment, we estimated vehicle poses using images captured in an indoor parking lot.
Discipline
Databases and Information Systems
Research Areas
Intelligent Systems and Optimization
Publication
Proceedings of the 13th IAPR International Conference on Machine Vision Applications, Kyoto, Japan, 2013 May 20-23
First Page
177
Last Page
180
ISBN
9784901122139
Publisher
MVA Organization
City or Country
Kyoto
Citation
KUME, Hideyuki; SUPPE, Arne; and SUPPE, Arne.
Vehicle localization along a previously driven route using an image database. (2013). Proceedings of the 13th IAPR International Conference on Machine Vision Applications, Kyoto, Japan, 2013 May 20-23. 177-180.
Available at: https://ink.library.smu.edu.sg/sis_research/8077
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.