A novel laser-vision combined approach to indoor robot pose estimation
- Author
- Juan Li, Paula Tarrío Alonso, Hamid Aghajan (UGent) , Wilfried Philips (UGent) and José R Casar
- Organization
Downloads
-
INVE MEM 2015 228102.pdf
- full text
- |
- open access
- |
- |
- 466.97 KB
Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-8112009
- MLA
- Li, Juan, et al. “A Novel Laser-Vision Combined Approach to Indoor Robot Pose Estimation.” International Conference on Robotics and Computer Vision (ICRCV), 2015, pp. 1–6.
- APA
- Li, J., Tarrío Alonso, P., Aghajan, H., Philips, W., & Casar, J. R. (2015). A novel laser-vision combined approach to indoor robot pose estimation. International Conference on Robotics and Computer Vision (ICRCV), 1–6.
- Chicago author-date
- Li, Juan, Paula Tarrío Alonso, Hamid Aghajan, Wilfried Philips, and José R Casar. 2015. “A Novel Laser-Vision Combined Approach to Indoor Robot Pose Estimation.” In International Conference on Robotics and Computer Vision (ICRCV), 1–6.
- Chicago author-date (all authors)
- Li, Juan, Paula Tarrío Alonso, Hamid Aghajan, Wilfried Philips, and José R Casar. 2015. “A Novel Laser-Vision Combined Approach to Indoor Robot Pose Estimation.” In International Conference on Robotics and Computer Vision (ICRCV), 1–6.
- Vancouver
- 1.Li J, Tarrío Alonso P, Aghajan H, Philips W, Casar JR. A novel laser-vision combined approach to indoor robot pose estimation. In: International Conference on Robotics and Computer Vision (ICRCV). 2015. p. 1–6.
- IEEE
- [1]J. Li, P. Tarrío Alonso, H. Aghajan, W. Philips, and J. R. Casar, “A novel laser-vision combined approach to indoor robot pose estimation,” in International Conference on Robotics and Computer Vision (ICRCV), 2015, pp. 1–6.
@inproceedings{8112009, author = {{Li, Juan and Tarrío Alonso, Paula and Aghajan, Hamid and Philips, Wilfried and Casar, José R}}, booktitle = {{International Conference on Robotics and Computer Vision (ICRCV)}}, language = {{eng}}, pages = {{1--6}}, title = {{A novel laser-vision combined approach to indoor robot pose estimation}}, year = {{2015}}, }