3D pose estimation for articulated vehicles using Kalman-filter based tracking-Reference-Cited by-同舟云学术

3D pose estimation for articulated vehicles using Kalman-filter based tracking

Published:2016-01 Issue:1 Volume:26 Page:109-113
ISSN:1054-6618
Container-title:Pattern Recognition and Image Analysis
language:en
Short-container-title:Pattern Recognit. Image Anal.

Author:

Fuchs C.,Neuhaus F.,Paulus D.

Publisher

Pleiades Publishing Ltd

Subject

Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition

Link

http://link.springer.com/content/pdf/10.1134/S1054661816010077.pdf

Reference15 articles.

1. E. Balcerak, D. Zöbel, and T. Weidenfeller, Patent DE 102006056408 A1 (Deutsches Patentund Markenamt, 112006).

2. C. Fuchs, S. Eggert, B. Knopp, and D. Zöbel, “Pose detection in truck and trailer combinations for advanced driver assistance systems,” in Proc. 13th Int. Conf. on Intelligent Autonomous Systems (Padua, 2014).

3. M. Fiala, “Artag, a fiducial marker system using digital techniques,” in Proc. IEEE Computer Society Conf. “Computer Vision and Pattern Recognition, 2005” CVPR 2005 (San Diego, 2005), Vol. 2, pp. 590–596.

4. C. Fuchs, D. Zöbel, and D. Paulus, “3D pose detection for articulated vehicles,” in Proc. IEEE Intelligent Vehicles Symp. (Ypsilanti, MI, 2014).

5. R. Hartley and A. Zisserman, Multiple View Geometry in Computer Vision (Cambridge Univ. Press, 2003).

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