DocumentCode
666582
Title
Rotation estimation for visual odometry using 3D vector correspondence
Author
Jae Seok Jang ; Kwang Hee Won ; Soon Ki Jung
Author_Institution
Sch. of Comput. Sci. & Eng., Kyungpook Nat. Univ., Daegu, South Korea
fYear
2013
fDate
10-13 Nov. 2013
Firstpage
5512
Lastpage
5515
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
image registration; motion estimation; object detection; rotation measurement; stereo image processing; 3D vector correspondence; 3D vector registration error; rotation estimation; vehicle motion estimation; visual odometry; Accuracy; Estimation; Feature extraction; Three-dimensional displays; Vectors; Vehicles; Visualization; vehicle motion estimation; visual odometry;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Electronics Society, IECON 2013 - 39th Annual Conference of the IEEE
Conference_Location
Vienna
ISSN
1553-572X
Type
conf
DOI
10.1109/IECON.2013.6700035
Filename
6700035
Link To Document