Y. Agarwal, N. Furukawa, I. Snavely, B. Simon, S. M. Curless et al., Building rome in a day, pp.105-112, 2011.

A. Angeli, S. Doncieux, J. A. Meyer, and D. Filliat, Visual topological SLAM and global localization, 2009 IEEE International Conference on Robotics and Automation, 2009.
DOI : 10.1109/ROBOT.2009.5152501

URL : https://hal.archives-ouvertes.fr/hal-00652601

C. Arth, D. Wagner, M. Klopschitz, A. Irschara, and D. Schmalstieg, Wide area localization on mobile phones, 2009 8th IEEE International Symposium on Mixed and Augmented Reality, 2009.
DOI : 10.1109/ISMAR.2009.5336494

N. Ballas, B. Labbe, H. L. Borgne, and A. Shabou, Semantic indexing and instance search, Text Retrieval Conference, Video Retrieval Evaluation Workshop, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00770258

H. Bay, T. Tuytelaars, and L. Van-gool, Surf : Speeded up robust features, European Conference on Computer Vision, 2006.
DOI : 10.1007/11744023_32

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.679.3046

N. Bioret, G. Moreau, and M. Servieres, Geolocalisation en milieu urbain par appariement entre une collection d'images et un SIG 2D. Ingenierie des systemes d'information, pp.107-131, 2009.
DOI : 10.3166/isi.14.5.107-131

G. J. Brostow, J. Shotton, J. Fauqueur, and R. Cipolla, Segmentation and Recognition Using Structure from Motion Point Clouds, European Conference on Computer Vision, 2008.
DOI : 10.1007/978-3-540-88682-2_5

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.227.4737

G. J. Brostow, J. Shotton, J. Fauqueur, and R. Cipolla, Segmentation and Recognition Using Structure from Motion Point Clouds, European Conference on Computer Vision, 2008.
DOI : 10.1007/978-3-540-88682-2_5

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.227.4737

C. Cappelle, M. E. Najjar, D. Pomorski, and F. Charpillet, Intelligent Geolocalization in Urban Areas Using Global Positioning Systems, Three-Dimensional Geographic Information Systems, and Vision, Journal of Intelligent Transportation Systems, vol.14, issue.1, pp.3-12, 2010.
DOI : 10.1080/15472450903385999

URL : https://hal.archives-ouvertes.fr/hal-00821916

J. A. Castellanos, J. M. Montiel, J. Neira, and J. D. Tardos, The SPmap: a probabilistic framework for simultaneous localization and map building, IEEE Transactions on Robotics and Automation, vol.15, issue.5, pp.948-953, 1999.
DOI : 10.1109/70.795798

J. A. Castellanos, J. Neira, and J. D. Tardós, Multisensor fusion for simultaneous localization and map building, IEEE Transactions on Robotics and Automation, vol.17, issue.6, pp.908-914, 2001.
DOI : 10.1109/70.976024

T. J. Cham, A. Ciptadi, W. C. Tan, M. T. Pham, and L. T. Chia, Estimating camera pose from a single urban ground-view omnidirectional image and a 2D building outline map, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010.
DOI : 10.1109/CVPR.2010.5540191

F. Chausse, J. Laneurit, and R. Chapuis, Localisation d'un vehicule sur une carte routiere precise, pp.159-177, 2005.
URL : https://hal.archives-ouvertes.fr/hal-00101677

J. Civera, O. G. Grasa, A. J. Davison, and J. M. , 1-point RANSAC for EKF-based Structure from Motion, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2009.
DOI : 10.1109/IROS.2009.5354410

A. I. Comport, E. Malis, and P. Rives, Accurate Quadrifocal Tracking for Robust 3D Visual Odometry, Proceedings 2007 IEEE International Conference on Robotics and Automation, 2007.
DOI : 10.1109/ROBOT.2007.363762

URL : https://hal.archives-ouvertes.fr/hal-01357382

M. Cummins and P. Newman, Highly scalable appearance-only SLAM - FAB-MAP 2.0, Robotics: Science and Systems V, 2009.
DOI : 10.15607/RSS.2009.V.039

A. Davison, I. Reid, N. Molton, and O. Stasse, MonoSLAM : Real-time single camera SLAM. Pattern Analysis and Machine Intelligence, pp.1052-1067, 2007.
DOI : 10.1109/tpami.2007.1049

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.454.5419

M. Dawood, C. Cappelle, M. Badaoui, M. Khalil, and D. Pomorski, Vehicle geolocalization based on imm-ukf data fusion using a gps receiver, a video camera and a 3d city model, Intelligent Vehicles Symposium, 2011.
URL : https://hal.archives-ouvertes.fr/hal-01509750

G. Dissanayake, P. Newman, S. Clark, H. F. Durrant-whyte, and M. Csorba, A solution to the simultaneous localization and map building (SLAM) problem, IEEE Transactions on Robotics and Automation, vol.17, issue.3, pp.229-241, 2001.
DOI : 10.1109/70.938381

Z. Dong, G. Zhang, J. Jia, and H. Bao, Efficient keyframe-based real-time camera tracking, International Conference on Computer Vision, 2009.
DOI : 10.1016/j.cviu.2013.08.005

E. Eade and T. Drummond, Scalable Monocular SLAM, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Volume 1 (CVPR'06), 2006.
DOI : 10.1109/CVPR.2006.263

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.141.7753

A. F. Elaksher, J. S. Bethel, and E. M. Mikhail, Reconstructing 3d building wireframes from multiple images, International Society for Photogrammetry and Remote Sensing, 2002.

A. Eudes and M. Lhuillier, Error propagations for local bundle adjustment, 2009 IEEE Conference on Computer Vision and Pattern Recognition, 2009.
DOI : 10.1109/CVPR.2009.5206824

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.207.718

A. Eudes, M. Lhuiller, S. Naudet-collette, and M. Dhome, Fast Odometry Integration in Local Bundle Adjustment-Based Visual SLAM, 2010 20th International Conference on Pattern Recognition, 2010.
DOI : 10.1109/ICPR.2010.80

A. Eudes, S. Naudet-collette, M. Lhuillier, and M. Dhome, Weighted Local Bundle Adjustment and Application to Odometry and Visual SLAM Fusion, Procedings of the British Machine Vision Conference 2010, 2010.
DOI : 10.5244/C.24.25

O. Faugeras, Three-dimensional computer vision : a geometric viewpoint, 1993.

J. M. Frahm, P. Fite-georgel, D. Gallup, T. Johnson, R. Raguram et al., Building Rome on a Cloudless Day, European Conference on Computer Vision, 2010.
DOI : 10.1007/978-3-642-15561-1_27

D. Gamage and T. Drummond, Reduced Dimensionality Extended Kalman Filter for SLAM, Procedings of the British Machine Vision Conference 2013, 2013.
DOI : 10.5244/C.27.117

V. Gay-bellile, P. Lothe, S. Bourgeois, E. Royer, and S. Naudet-collette, Augmented reality in large environments: Application to aided navigation in urban context, 2010 IEEE International Symposium on Mixed and Augmented Reality, 2010.
DOI : 10.1109/ISMAR.2010.5643579

R. M. Haralick, C. Lee, K. Ottenberg, and M. Nolle, Review and analysis of solutions of the three point perspective pose estimation problem, International Journal of Computer Vision, vol.13, issue.1, pp.331-356, 1994.
DOI : 10.1007/BF02028352

C. Harris and M. Stephens, A Combined Corner and Edge Detector, Procedings of the Alvey Vision Conference 1988, 1988.
DOI : 10.5244/C.2.23

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.231.1604

R. Hartley, In defense of the eight-point algorithm, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.19, issue.6, pp.580-593, 1997.
DOI : 10.1109/34.601246

R. Hartley and A. Zisserman, Multiple View Geometry in Computer Vision, 2004.
DOI : 10.1017/CBO9780511811685

K. Hideyuki, T. Takafumi, S. Tomokazu, and Y. Naokazu, Extrinsic camera parameter estimation using video images and gps considering gps positioning accuracy, International Conference on Pattern Recognition, 2010.

P. Huber, Robust Statistics, 1981.
DOI : 10.1002/0471725250

A. Irschara, C. Zach, J. M. Frahm, and H. Bischof, From structure-from-motion point clouds to fast location recognition, 2009 IEEE Conference on Computer Vision and Pattern Recognition, 2009.
DOI : 10.1109/CVPR.2009.5206587

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.218.6687

R. E. Kalman, A New Approach to Linear Filtering and Prediction Problems, Journal of Basic Engineering, vol.82, issue.1, pp.35-45, 1960.
DOI : 10.1115/1.3662552

R. S. Kaminsky, N. Snavely, S. M. Seitz, and R. Szeliski, Alignment of 3D point clouds to overhead images, 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2009.
DOI : 10.1109/CVPRW.2009.5204180

Q. Ke and T. Kanade, Transforming camera geometry to a virtual downward-looking camera : robust ego-motion estimation and ground-layer detection, IEEE Conference on Computer Vision and Pattern Recognition, 2003.

J. Kichun, C. Keounyup, and S. Myoungho, Gps-bias correction for precise localization of autonomous vehicles, Intelligent Vehicles Symposium, 2013.

G. Klein and D. Murray, Parallel Tracking and Mapping for Small AR Workspaces, 2007 6th IEEE and ACM International Symposium on Mixed and Augmented Reality, 2007.
DOI : 10.1109/ISMAR.2007.4538852

K. Konolige, M. Agrawal, and J. Solà, Large-Scale Visual Odometry for Rough Terrain, International Symposium on Robotics Research, 2007.
DOI : 10.1007/978-3-642-14743-2_18

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.122.3605

D. Larnaout, S. Bourgeois, V. Gay-bellile, and M. Dhome, Towards Bundle Adjustment with GIS Constraints for Online Geo-Localization of a Vehicle in Urban Center, 2012 Second International Conference on 3D Imaging, Modeling, Processing, Visualization & Transmission, 2012.
DOI : 10.1109/3DIMPVT.2012.38

D. Larnaout, V. Gay-bellile, S. Bourgeois, and M. Dhome, Vehicle 6-DoF localization based on SLAM constrained by GPS and digital elevation model information, 2013 IEEE International Conference on Image Processing, 2013.
DOI : 10.1109/ICIP.2013.6738516

D. Larnaout, V. Gay-bellile, S. Bourgeois, B. Labbe, and M. Dhome, Fast and automatic city-scale environment modeling for an accurate 6DOF vehicle localization, 2013 IEEE International Symposium on Mixed and Augmented Reality (ISMAR), 2013.
DOI : 10.1109/ISMAR.2013.6671797

D. Larnaout, V. Gay-bellile, S. Bourgeois, B. Labbe, and M. Dhome, Driving in an augmentedcity : From fast and automatic large scale environment modeling to on-line 6dof vehicle localization, International Conference on Virtual Reality Continuum and Its Applications, 2013.

J. Lavest, M. Viala, and M. Dhome, Do we really need an accurate calibration pattern to achieve a reliable camera calibration?, European Conference on Computer Vision, 1998.
DOI : 10.1007/BFb0055665

T. Lemaire, C. Berger, I. Jung, and S. Lacroix, Vision-Based SLAM: Stereo and Monocular Approaches, International Journal of Computer Vision, vol.14, issue.12, pp.343-364, 2007.
DOI : 10.1007/s11263-007-0042-3

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.101.8736

J. Leonard and P. Newman, Consistent, convergent, and constant-time slam, International Joint Conference on Artificial intelligence, 2003.

V. Lepetit, F. Moreno-noguer, and P. Fua, EPnP: An Accurate O(n) Solution to the PnP Problem, International Journal of Computer Vision, vol.60, issue.12, pp.155-166, 2009.
DOI : 10.1007/s11263-008-0152-6

K. Levenberg, A method for the solution of certain non-linear problems in least squares, Quarterly of Applied Mathematics, vol.2, issue.2, pp.164-168, 1944.
DOI : 10.1090/qam/10666

M. Lhuillier, Incremental fusion of structure-from-motion and gps using constrained bundle adjustments. Pattern Analysis and Machine Intelligence, pp.2489-2495, 2012.

Y. Li, N. Snavely, D. Huttenlocher, and P. Fua, Worldwide pose estimation using 3d point clouds, European Conference on Computer Vision, 2012.
DOI : 10.1007/978-3-642-33718-5_2

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.362.4910

B. Liang and N. Pears, Visual navigation using planar homographies, International Conference on Robotics and Automation, 2002.

H. Lim, S. N. Sinha, M. F. Cohen, and M. Uyttendaele, Real-time image-based 6-dof localization in large-scale environments, IEEE Conference on Computer Vision and Pattern Recognition, 2012.

J. Lim, J. M. Frahml, and M. Pollefeys, Online environment mapping using metric-topological maps, The International Journal of Robotics Research, vol.59, issue.3, pp.311394-1408, 2012.
DOI : 10.1109/TPAMI.2007.1049

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.385.4997

P. Lothe, S. Bourgeois, F. Dekeyser, E. Royer, and M. Dhome, Towards geographical referencing of monocular SLAM reconstruction using 3D city models: Application to real-time accurate vision-based localization, 2009 IEEE Conference on Computer Vision and Pattern Recognition, 2009.
DOI : 10.1109/CVPR.2009.5206662

P. Lothe, S. Bourgeois, E. Royer, M. Dhome, and S. Naudet-collette, Real-time vehicle global localisation with a single camera in dense urban areas: Exploitation of coarse 3D city models, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition
DOI : 10.1109/CVPR.2010.5540127

D. G. Lowe, Distinctive Image Features from Scale-Invariant Keypoints, International Journal of Computer Vision, vol.60, issue.2, pp.91-110, 2004.
DOI : 10.1023/B:VISI.0000029664.99615.94

C. Lu, G. D. Hager, and E. Mjolsness, Fast and globally convergent pose estimation from video images. Pattern Analysis and Machine Intelligence, pp.610-622, 2000.
DOI : 10.1109/34.862199

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.49.9767

E. Malis and E. Marchand, Experiments with robust estimation techniques in real-time robot vision, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2006.
DOI : 10.1109/IROS.2006.282572

URL : https://hal.archives-ouvertes.fr/inria-00350297

J. Michot, A. Bartoli, and F. Gaspard, Bi-objective bundle adjustment with application to multi-sensor slam, 3D Data Processing, Visualization and Transmission, 2010.

K. Mikolajczyk and C. Schmid, An Affine Invariant Interest Point Detector, European Conference on Computer Vision, 2002.
DOI : 10.1007/3-540-47969-4_9

URL : https://hal.archives-ouvertes.fr/inria-00548252

K. Mikolajczyk and C. Schmid, A performance evaluation of local descriptors. Pattern Analysis and Machine Intelligence, pp.1615-1630, 2005.
URL : https://hal.archives-ouvertes.fr/inria-00548227

E. Mouragnon, M. Lhuillier, M. Dhome, F. Dekeyser, and P. Sayd, Real Time Localization and 3D Reconstruction, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06), 2006.
DOI : 10.1109/CVPR.2006.236

URL : https://hal.archives-ouvertes.fr/hal-00091145

D. Nister, An efficient solution to the five-point relative pose problem, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.26, issue.6, pp.756-777, 2004.
DOI : 10.1109/TPAMI.2004.17

D. Nister, O. Naroditsky, and J. Bergen, Visual odometry, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004., 2004.
DOI : 10.1109/CVPR.2004.1315094

M. Recky, A. Wendel, and F. Leberl, Facade segmentation in a multi-view scenario, 3D Imaging, Modeling, Processing, Visualization and Transmission, 2011.

E. Royer, M. Lhuillier, M. Dhome, and T. Chateau, Localization in Urban Environments: Monocular Vision Compared to a Differential GPS Sensor, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), 2005.
DOI : 10.1109/CVPR.2005.217

URL : https://hal.archives-ouvertes.fr/hal-01295932

S. Rusinkiewicz and M. Levoy, Efficient variants of the ICP algorithm, Proceedings Third International Conference on 3-D Digital Imaging and Modeling, 2001.
DOI : 10.1109/IM.2001.924423

O. Saurer, F. Fraundorfer, and M. Pollefeys, Omnitour : Semi-automatic generation of interactive virtual tours from omnidirectional video, 3D Data Processing, Visualization and Transmission, 2010.

D. Scaramuzza and R. Siegwart, Appearance-Guided Monocular Omnidirectional Visual Odometry for Outdoor Ground Vehicles, IEEE Transactions on Robotics, vol.24, issue.5, pp.1015-1026, 2008.
DOI : 10.1109/TRO.2008.2004490

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.149.5590

D. Scaramuzza, F. Fraundorfer, M. Pollefeys, and R. Siegwart, Absolute scale in structure from motion from a single vehicle mounted camera by exploiting nonholonomic constraints, 2009 IEEE 12th International Conference on Computer Vision, 2009.
DOI : 10.1109/ICCV.2009.5459294

D. Scaramuzza, F. Fraundorfer, and R. Siegwart, Real-time monocular visual odometry for onroad vehicles with 1-point ransac, International Conference on Robotics and Automation, 2009.
DOI : 10.1109/robot.2009.5152255

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.149.8172

D. Schleicher, L. M. Bergasa, M. Ocana, R. Barea, and E. Lopez, Real-time hierarchical gps aided visual slam on urban environments, International Conference on Robotics and Automation, 2009.
DOI : 10.1109/robot.2009.5152370

C. Schmid, R. Mohr, and C. Bauckhage, Evaluation of interest point detectors, International Journal of Computer Vision, vol.37, issue.2, pp.151-172, 2000.
DOI : 10.1023/A:1008199403446

URL : https://hal.archives-ouvertes.fr/inria-00548302

G. Silveira, E. Malis, and P. Rives, An Efficient Direct Approach to Visual SLAM, IEEE Transactions on Robotics, vol.24, issue.5, pp.969-979, 2008.
DOI : 10.1109/TRO.2008.2004829

G. Simon, Tracking-by-synthesis using point features and pyramidal blurring, 2011 10th IEEE International Symposium on Mixed and Augmented Reality, 2011.
DOI : 10.1109/ISMAR.2011.6092373

URL : https://hal.archives-ouvertes.fr/inria-00614867

N. Simond and P. Rives, Trajectography of an uncalibrated stereo rig in urban environments, 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566), 2004.
DOI : 10.1109/IROS.2004.1389939

URL : https://hal.archives-ouvertes.fr/inria-00001045

B. Soheilian, O. Tournaire, N. Paparoditis, B. Vallet, and J. P. Papelard, Generation of an integrated 3D city model with visual landmarks for autonomous navigation in dense urban areas, 2013 IEEE Intelligent Vehicles Symposium (IV), 2013.
DOI : 10.1109/IVS.2013.6629486

G. Sourimant, L. Morin, and K. Bouatouch, Gps, gis and video fusion for urban modeling, Computer Graphics International, 2007.
URL : https://hal.archives-ouvertes.fr/inria-00461522

H. Strasdat, J. M. Montiel, and A. J. Davison, Visual slam : Why filter ? Image Vision Computing, pp.65-77, 2012.
DOI : 10.1016/j.imavis.2012.02.009

C. Strecha, T. Pylvanainen, and P. Fua, Dynamic and scalable large scale image reconstruction, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010.
DOI : 10.1109/CVPR.2010.5540184

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.221.5974

M. Tamaazousti, V. Gay-bellile, S. Naudet-collette, S. Bourgeois, and M. Dhome, NonLinear refinement of structure from motion reconstruction by taking advantage of a partial knowledge of the environment, CVPR 2011, 2011.
DOI : 10.1109/CVPR.2011.5995358

A. Taneja, L. Ballan, and M. Pollefeys, Registration of Spherical Panoramic Images with Cadastral 3D Models, 2012 Second International Conference on 3D Imaging, Modeling, Processing, Visualization & Transmission, 2012.
DOI : 10.1109/3DIMPVT.2012.45

J. Tardif, Y. Pavlidis, and K. Daniilidis, Monocular visual odometry in urban environments using an omnidirectional camera, 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2008.
DOI : 10.1109/IROS.2008.4651205

J. D. Tardos, J. Neira, P. M. Newman, and J. J. Leonard, Robust Mapping and Localization in Indoor Environments Using Sonar Data, The International Journal of Robotics Research, vol.21, issue.4, pp.311-330, 2002.
DOI : 10.1177/027836402320556340

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.108.7960

G. Tong, Z. Wu, N. Weng, and W. Hou, An Omni-directional vSLAM based on spherical camera model and 3D modeling, Proceedings of the 10th World Congress on Intelligent Control and Automation, 2012.
DOI : 10.1109/WCICA.2012.6359341

P. H. Torr and D. W. Murray, The development and comparison of robust methods for estimating the fundamental matrix, International Journal of Computer Vision, vol.24, issue.3, pp.271-300, 1997.
DOI : 10.1023/A:1007927408552

B. Triggs, Autocalibration from planar scenes, European Conference on Computer Vision, 1998.
DOI : 10.1007/BFb0055661

URL : https://hal.archives-ouvertes.fr/inria-00548325

C. Wang, T. Wang, J. Liang, Y. Chen, Y. Zhang et al., Monocular visual SLAM for small UAVs in GPS-denied environments, 2012 IEEE International Conference on Robotics and Biomimetics (ROBIO), 2012.
DOI : 10.1109/ROBIO.2012.6491082

C. P. Wang, K. Wilson, and N. Snavely, Accurate Georegistration of Point Clouds Using Geographic Data, 2013 International Conference on 3D Vision, 2013.
DOI : 10.1109/3DV.2013.13

H. Wang, K. Yuan, W. Zou, Q. Zhou, and .. , Visual odometry based on locally planar ground assumption, International Conference on Information Acquisition, 2005.

.. Principe-général-de-l-'approche-proposée, 137 7.3 Schéma global de la solution proposée, p.138

.. Limites-de-ce-type-de-méthodes, 38 2.1.3.1 Localisation non géo-référencée

.. Localisation-basée-vision-avec-ajout-d-'informations-additionnelles, 39 2.2.2 Exploitation de la connaissance a priori de l'environnement, p.43

S. , G. Contraindre-la-trajectoire........-mesure, and G. , 59 3.3.1 Établissement de la contrainte aux données GPS : association image clé, p.59

.. Raffinement-de-la-base-d-'amers-géo-référencée-initiale, 120 6.3.2.1 Recalage dans le plan, p.121

.. Évaluation-expérimentale, 122 6.4.1 Séquences de tests utilisées 122 6.4.2 Évaluation de l'ensemble de notre solution pour la création d'une base d'amers géo-référencés, p.124

. Estimation-de-l-'erreur-dans-le-plan-de-la-fusion, G. Le, and M. Le, 138 7.2.2.1 Estimation de l'erreur dans le plan de la fusion dans le cas simple, p.138

.. Évaluation-expérimentale, 160 8.6.1 Comparaison de la précision de la navigation en zone disposant d'une base d'amers avec la navigation en zone dépourvue d'une base d'amers 160

.. Et-la-contrainte-du and M. , contrainte dure 177 A.2.1 Fonction de coût avec la contrainte des modèles 3D bâtiments . . . . . 177 A.2.2 Fonction de coût avec la contrainte du MET, p.180

.. Ajustement-de-faisceaux-basé-sur-une-fonction-de-coût-avec-une-contrainte-d-'inégalité, 182 A.3.1 Fonction de coût contrainte aux données, p.186