Automatic Road Inventory Using LiDAR
Author:
Publisher
Elsevier BV
Subject
General Economics, Econometrics and Finance
Reference11 articles.
1. Ahmetovic, D., Bernareggi, C., Mascetti, S., 2011. University of MilanZebralocalizer: identification and localization of pedestrian crossings. MobileHCI ‘11 Proceedings of the 13th International Conference on Human Computer Interaction with Mobile Devices and Services. 275-284.
2. Belaroussi, R., Foucher, P., Tarel, J.-P., Soheilian, B., Charbonnier, P., Paparoditis, N., 2010. Road Sign Detection in Images: A Case Study. Pattern Recognition (ICPR). 2010. 484-488.
3. Chen, X., Kohlmeyer, B., Stroila, M., Alwar, N., Wang, R., Bach, J., 2009. Next Generation Map Making: Geo-Referenced Ground-Level LIDAR Point Clouds for Automatic Retro-Reflective Road Feature Extraction. GIS ‘09 Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems. 488-491.
4. González-Jorge, H., Riveiro, B., Julia Armesto, P Arias et al., 2011. Geometric Evaluation of Road Signs Using Radiometric Information From Laser Scanning Data. Proceedings of the 28th ISARC. 1007-1012.
5. Landa, J., Prochazka, D., Stastny, J., 2013. Point cloud processing for smart systems. Acta Univ. Agric. Silvic. Mendel. Brun. 2013, 61(7), 2415-2421.
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