@inproceedings{b0b2fce880344a4981bc640274ef8dc0,
title = "Geometric feature selection for vehicle pose estimation on dynamic road scenes",
abstract = "This paper suggests classification and selection of features based on geometric properties to accomplish more accurate visual odometry. We apply billboard sweep stereo algorithm and the homogeneous disparity representation to obtain several categories of geometric labels. And we combine the classes to estimate more accurate vehicle pose. In the experiments, the distant features are useful for estimating vehicle orientation and the features on the ground plane are proper for estimating vehicle position especially in crowded road scenes.",
keywords = "vehicle motion estimation, visual odometry",
author = "Jang, {Jae Seok} and Won, {Kwang Hee} and Jung, {Soon Ki}",
year = "2013",
doi = "10.1109/ICUFN.2013.6614793",
language = "English",
isbn = "9781467359900",
series = "International Conference on Ubiquitous and Future Networks, ICUFN",
pages = "119--122",
booktitle = "ICUFN 2013 - 5th International Conference on Ubiquitous and Future Networks",
note = "5th International Conference on Ubiquitous and Future Networks, ICUFN 2013 ; Conference date: 02-07-2013 Through 05-07-2013",
}