P. F. Mcmanamon, Review of ladar: a historic, yet emerging, sensor technology with rich phenomenology, Optical Engineering, vol.51, issue.6, 2012.

P. Papadakis, Terrain traversability analysis methods for unmanned ground vehicles: A survey, Engineering Applications of Artificial Intelligence, vol.26, issue.4, pp.1373-1385, 2013.
DOI : 10.1016/j.engappai.2013.01.006

URL : https://hal.archives-ouvertes.fr/hal-00801220

J. Lalonde, N. Vandapel, D. F. Huber, and M. Hebert, Natural terrain classification using three-dimensional ladar data for ground robot mobility, Journal of Field Robotics, vol.59, issue.10, pp.839-861, 2006.
DOI : 10.1002/rob.20134

B. Douillard, J. Underwood, N. Kuntz, V. Vlaskine, A. Quadros et al., On the segmentation of 3D LIDAR point clouds, 2011 IEEE International Conference on Robotics and Automation, pp.2798-2805, 2011.
DOI : 10.1109/ICRA.2011.5979818

S. Laible, Y. N. Khan, and A. Zell, Terrain classification with conditional random fields on fused 3D LIDAR and camera data, 2013 European Conference on Mobile Robots, pp.172-177, 2013.
DOI : 10.1109/ECMR.2013.6698838

C. Mallet and F. Bretar, Full-waveform topographic lidar: State-of-the-art, ISPRS Journal of Photogrammetry and Remote Sensing, vol.64, issue.1, pp.1-16, 2009.
DOI : 10.1016/j.isprsjprs.2008.09.007

C. Mallet, Analyse de données lidaràlidar`lidarà Retour d'OndeCompì ete pour la classification en milieu urbain, 2010.

L. Guo, N. Chehata, C. Mallet, and S. Boukir, Relevance of airborne lidar and multispectral image data for urban scene classification using Random Forests, ISPRS Journal of Photogrammetry and Remote Sensing, vol.66, issue.1, pp.56-66, 2011.
DOI : 10.1016/j.isprsjprs.2010.08.007

J. Levinson, M. Montemerlo, and S. Thrun, Map-Based Precision Vehicle Localization in Urban Environments, Robotics: Science and Systems III, 2007.
DOI : 10.15607/RSS.2007.III.016

K. M. Wurm, R. Kümerle, C. Stachniss, and W. Burgard, Improving robot navigation in structured outdoor environments by identifying vegetation from laser data, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2009.
DOI : 10.1109/IROS.2009.5354530

T. Saitoh and Y. Kuroda, Online road surface analysis using laser remission value in urban environments, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010.
DOI : 10.1109/IROS.2010.5651208

A. K. Aijazi, P. Checchin, and L. Trassoudaine, Segmentation Based Classification of 3D Urban Point Clouds: A Super-Voxel Based Approach with Evaluation, Remote Sensing, vol.5, issue.4, pp.1624-1650, 2013.
DOI : 10.3390/rs5041624

J. Elseberg, D. Borrmann, and A. Nuechter, Full Wave Analysis in 3D laser scans for vegetation detection in urban environments, 2011 XXIII International Symposium on Information, Communication and Automation Technologies, 2011.
DOI : 10.1109/ICAT.2011.6102101

C. Mcmanus, P. Furgale, and T. Barfoot, Towards appearance-based methods for lidar sensors, 2011 IEEE International Conference on Robotics and Automation, pp.1930-1935, 2011.
DOI : 10.1109/ICRA.2011.5980098

W. Fang, X. Huang, F. Zhang, and D. Li, Intensity correction of terrestrial laser scanning data by estimating laser transmission function Geoscience and Remote Sensing, IEEE Transactions on, vol.53, issue.2, pp.942-951, 2015.

J. Michelin, C. Mallet, and N. David, BUILDING EDGE DETECTION USING SMALL-FOOTPRINT AIRBORNE FULL-WAVEFORM LIDAR DATA, XXII ISPRS Congress, p.2012
DOI : 10.5194/isprsannals-I-3-147-2012

R. B. Rusu and S. Cousins, 3D is here: Point Cloud Library (PCL), 2011 IEEE International Conference on Robotics and Automation, 2011.
DOI : 10.1109/ICRA.2011.5980567

N. Brodu and D. Lague, 3D terrestrial lidar data classification of complex natural scenes using a multi-scale dimensionality criterion: Applications in geomorphology, ISPRS Journal of Photogrammetry and Remote Sensing, vol.68, pp.121-134, 2012.
DOI : 10.1016/j.isprsjprs.2012.01.006

URL : https://hal.archives-ouvertes.fr/insu-00700970

A. Niculescu-mizil and R. Caruana, Predicting good probabilities with supervised learning, Proceedings of the 22nd international conference on Machine learning , ICML '05, pp.625-632, 2005.
DOI : 10.1145/1102351.1102430

P. Krahwinkler, J. Rossmann, and B. Sondermann, Support vector machine based decision tree for very high resolution multispectral forest mapping, 2011 IEEE International Geoscience and Remote Sensing Symposium, pp.43-46, 2011.
DOI : 10.1109/IGARSS.2011.6048893