Merge branch 'master' of https://github.com/utiasSTARS/sun-bcnn-vo

README.md

@@ -1,7 +1,11 @@
 # Sun-BCNN
-Bayesian Convolutional Neural Network to infer Sun Direction from a single RGB image, trained on the KITTI dataset [1].
+Bayesian Convolutional Neural Network to infer Sun Direction from a single RGB image, trained on the KITTI dataset [[1]](#references). 
 
-![SUN-BCNN-GIF](https://media.giphy.com/media/Yf4g34bMPrq24/giphy.gif)
+![SUN-BCNN-GIF](https://media.giphy.com/media/Yf4g34bMPrq24/giphy.gif) 
+
+This code was used in our paper *Reducing Drift in Visual Odometry by Inferring Sun Direction Using a Bayesian Convolutional Neural Network*, which appeared at ICRA 2017 (preprint available: [arXiv:1609.05993](http://arxiv.org/abs/1609.05993)).
+
+![SUN-BCNN](sun-bcnn.png)
 
 ## Installation & Pre-Requisites
 
@@ -43,12 +47,19 @@ Note: the LMDB files contain images that have been re-sized and padded with zero
 See *scripts/create_lmdb_sunbcnn_dataset.py* for a wireframe of how to create your own training LMDB files.
 
 ##  Citation
-V. Peretroukhin, L. Clement, J. Kelly.
-*Reducing Drift in Visual Odometry by Inferring Sun Direction using a Bayesian Convolutional Neural Network*
-
-Proceedings of ICRA 2017. Pre-print available: [arXiv:1609.05993](http://arxiv.org/abs/1609.05993).
-
-![SUN-BCNN](sun-bcnn.png)
+If you use this work in your research, please cite
+```
+@inproceedings{2017_Peretroukhin_Reducing,
+  address = {Singapore},
+  author = {Valentin Peretroukhin and Lee Clement and Jonathan Kelly},
+  booktitle = {Proceedings of the {IEEE} International Conference on Robotics and Automation {(ICRA'17})},
+  date = {2017-05-29/2017-06-03},
+  link = {https://arxiv.org/abs/1609.05993},
+  month = {May 29--Jun. 3},
+  title = {Reducing Drift in Visual Odometry by Inferring Sun Direction Using a Bayesian Convolutional Neural Network},
+  year = {2017}
+}
+```
 
 ##  References
 [1] A. Geiger, P. Lenz, C. Stiller, and R. Urtasun, "Vision meets robotics: The KITTI dataset," Int. J. Robot. Research (IJRR), vol. 32, no. 11, pp. 1231–1237, Sep. 2013. [http://www.cvlibs.net/datasets/kitti/](http://www.cvlibs.net/datasets/kitti/)