@inproceedings{fb5158f592664fa285a622c5589f5bed,
title = "Rotation estimation for visual odometry using 3D vector correspondence",
abstract = "Visual odometry is important to obtain the vehicle motion as well as the relative motion of the surroundings such as moving/stationary objects to the vehicle. This paper presents a vehicle motion estimation approach which uses 3D vector correspondences. We design an objective function using 3D vector registration error and optimize it. The proposed method estimates more accurate rotation matrix compared to the previous method.",
keywords = "vehicle motion estimation, visual odometry",
author = "Jang, {Jae Seok} and Won, {Kwang Hee} and Jung, {Soon Ki}",
year = "2013",
doi = "10.1109/IECON.2013.6700035",
language = "English",
isbn = "9781479902248",
series = "IECON Proceedings (Industrial Electronics Conference)",
pages = "5512--5515",
booktitle = "Proceedings, IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society",
note = "39th Annual Conference of the IEEE Industrial Electronics Society, IECON 2013 ; Conference date: 10-11-2013 Through 14-11-2013",
}