Author:
Liang Justin,Urtasun Raquel
Publisher
Springer International Publishing
Reference43 articles.
1. Ahmetovic, D., Bernareggi, C., Mascetti, S.: Zebralocalizer: identification and localization of pedestrian crossings. In: Proceedings of the 13th International Conference on Human Computer Interaction with Mobile Devices and Services, MobileHCI 2011, pp. 275–284. ACM, New York (2011). https://doi.org/10.1145/2037373.2037415
2. Ahmetovic, D., Manduchi, R., Coughlan, J.M., Mascetti, S.: Zebra crossing spotter: automatic population of spatial databases for increased safety of blind travelers. In: ASSETS, pp. 251–258. ACM (2015)
3. Babahajiani, P., Fan, L., Kämäräinen, J.K., Gabbouj, M.: Urban 3D segmentation and modelling from street view images and LiDAR point clouds. Mach. Vis. Appl. 28, 679–694 (2017). https://doi.org/10.1007/s00138-017-0845-3 . sJR: h-ind. 45; class. Q1; field rank. 16th (Computer Vision and Pattern Recognition); JuFo-2
4. Babahajiani, P., Fan, L., Kmrinen, J.K., Gabbouj, M.: Comprehensive automated 3D urban environment modelling using terrestrial laser scanning point cloud. IEEE (2016). https://doi.org/10.1109/CVPRW.2016.87 . eXT = “Babahajiani, Pouria”
5. Badrinarayanan, V., Handa, A., Cipolla, R.: SegNet: a deep convolutional encoder-decoder architecture for robust semantic pixel-wise labelling. arXiv preprint arXiv:1505.07293 (2015)
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