Cite

[1] Y. I. Abdel-Aziz, H. M. Karara, M. Hauck, Direct linear transformation from comparator coordinates into object space coordinates in close-range photogrammetry, Photogrammetric Engineering and Remote Sensing 81, 2 (2015) 103-107. ⇒19110.14358/PERS.81.2.103Search in Google Scholar

[2] T. Bailey, J. Nieto, E. Nebot, Consistency of the fastslam algorithm, Proc. of IEEE International Conference on Robotics and Automation (ICRA'06), Orlando, FL, USA, 2006, pp. 424-429. ⇒209Search in Google Scholar

[3] S. Baker, I. Matthews, Lucas-kanade 20 years on: A unifying framework, Inter- national Journal of Computer Vision (IJCV) 56, 3 (2004) 221-255. ⇒19810.1023/B:VISI.0000011205.11775.fdSearch in Google Scholar

[4] S. S. Beauchemin, R. Bajcsy, Modelling and removing radial and tangential distortions in spherical lenses, Proc. of International Workshop on Theoretical Foun-dations of Computer Vision (TFCV'00), Multi-Image Analysis, Lecture Notes in Computer Science, Dagstuhl Castle, Germany, 2000, pp. 1-21. ⇒18910.1007/3-540-45134-X_1Search in Google Scholar

[5] J. Chao, A. Al-Nuaimi, G. Schroth, E. Steinbach, Performance comparison of various feature detector-descriptor combinations for content-based image retrieval with jpeg-encoded query images, Proc. of International Workshop on Multimedia Signal Processing (MMSP'13), Pula, Sardinia, Italy, 2013, pp. 29-34. ⇒19010.1109/MMSP.2013.6659259Search in Google Scholar

[6] J. Civera, A. J. Davison, J. M. M. Montiel, Inverse depth parametrization for monocular slam, IEEE Transactions on Robotics 24, 5 (2008) 932-945. ⇒205, 20710.1109/TRO.2008.2003276Search in Google Scholar

[7] L. E. Clement, V. Peretroukhin, J. Lambert, J. Kelly, The battle for filter supremacy: A comparative study of the multi-state constraint kalman filter and the sliding window filter, Proc. of Conference on Computer and Robot Vision (CRV'15), Halifax, Nova Scotia, 2015, pp. 23-30. ⇒20710.1109/CRV.2015.11Search in Google Scholar

[8] A. J. Davison, I. D. Reid, N. D. Molton, O. Stasse, Monoslam: Real-time single camera slam, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 29, 6 (2007) 1052-1067. ⇒19910.1109/TPAMI.2007.104917431302Search in Google Scholar

[9] H. Durrant-Whyte, T. Bailey, Simultaneous localization and mapping: part i, IEEE Robotics & Automation Magazine 13, 2 (2006) 99-110. ⇒187, 200[10] J. Engel, T. Schöps, D. Cremers, Lsd-slam: Large-scale direct monocular slam, Proc. of 13th European Conference on Computer Vision (ECCV'14), volume 2, Springer International Publishing, Zurich, Switzerland, 2014, pp. 834-849. ⇒ 197Search in Google Scholar

[11] J. Engel, J. Sturm, D. Cremers, Semi-dense visual odometry for a monocular camera, Proc. of IEEE International Conference on Computer Vision (ICCV'13), Sydney, Australia, 2013, pp. 1449-1456. ⇒19710.1109/ICCV.2013.183Search in Google Scholar

[12] M. A. Fischler, R. C. Bolles, Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography, Communications of the ACM 24, 6 (1981) 381-395. ⇒19110.1145/358669.358692Search in Google Scholar

[13] C. Forster, M. Pizzoli, D. Scaramuzza, Svo: Fast semi-direct monocular visual odometry, Proc. of IEEE International Conference on Robotics and Automation (ICRA'14), Hong Kong, China, 2014, pp. 15-22. ⇒19810.1109/ICRA.2014.6906584Search in Google Scholar

[14] F. Fraundorfer, D. Scaramuzza, Visual odometry, part ii: Matching, robustness, optimization, and applications, IEEE Robotics & Automation Magazine 19, 2 (2012) 78-90. ⇒18710.1109/MRA.2012.2182810Search in Google Scholar

[15] A. Geiger, P. Lenz, R. Urtasun, Are we ready for autonomous driving? the kitti vision benchmark suite, Proc. of Conference on Computer Vision and Pattern Recognition (CVPR'12), IEEE, Providence, RI, USA, 2012, pp. 3354-3361. ⇒ 21010.1109/CVPR.2012.6248074Search in Google Scholar

[16] N. Gordon, Novel approach to nonlinear/non-gaussian bayesian state estimation, IEE Proceedings F (Radar and Signal Processing) 140 (1993) 107-113(6) ⇒20510.1049/ip-f-2.1993.0015Search in Google Scholar

[17] C. Harris, J. Pike, 3d positional integration from image sequences, Proc. of the Alvey Vision Conference, Manchester, UK, 1987, pp. 87-90. ⇒18710.1016/0262-8856(88)90003-0Search in Google Scholar

[18] C. Harris, M. Stephens, A combined corner and edge detector, Proc. of the 4th Alvey Vision Conference, Manchester, UK, 1988, pp. 147-151. ⇒19010.5244/C.2.23Search in Google Scholar

[19] R. I. Hartley, In defense of the eight-point algorithm, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI'97) 19, 6 (1997) 580-593. ⇒19110.1109/34.601246Search in Google Scholar

[20] R. I. Hartley, A. Zisserman, Multiple View Geometry in Computer Vision, (2nd edition), Cambridge University Press, Cambridge, England, UK, 2004. ⇒187, 190, 191, 19210.1017/CBO9780511811685Search in Google Scholar

[21] C. Kerl, J. Sturm, D. Cremers, Robust odometry estimation for rgb-d cameras, Proc. of IEEE International Conference on Robotics and Automation (ICRA'13), Karlsruhe, Germany, 2013, pp. 3748-3754. ⇒19510.1109/ICRA.2013.6631104Search in Google Scholar

[22] G. Klein, D. Murray, Parallel tracking and mapping for small ar workspaces, Proc. of 6th IEEE and ACM International Symposium on Mixed and Augmented Reality (ISMAR 2007), Nara, Japan, 2007, pp. 225-234. ⇒187, 19310.1109/ISMAR.2007.4538852Search in Google Scholar

[23] G. Klein, D. Murray, Improving the agility of keyframe-based SLAM, Proc. of 10th European Conference on Computer Vision (ECCV'08), Marseille, France, 2008, pp. 802-815. ⇒19310.1007/978-3-540-88688-4_59Search in Google Scholar

[24] L. Kneip, D. Scaramuzza, R. Siegwart, A novel parametrization of the perspective-three-point problem for a direct computation of absolute camera position and orientation, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR'11), Colorado Springs, USA, 2011, pp. 2969-2976. ⇒19110.1109/CVPR.2011.5995464Search in Google Scholar

[25] K. Konolige, M. Agrawal, J. Solfia, Large-scale visual odometry for rough terrain, Proc. of International Symposium on Robotics Research, Hiroshima, Japan, 2007, pp. 201-212. ⇒19910.1007/978-3-642-14743-2_18Search in Google Scholar

[26] V. Lepetit, F.Moreno-Noguer, P.Fua, Epnp: An accurate o(n) solution to the pnp problem, International Journal Computer Vision 81, 2 (2009) 155-166. ⇒19110.1007/s11263-008-0152-6Search in Google Scholar

[27] H. Li, R. Hartley, Five-point motion estimation made easy, Proc. of 18th Inter- national Conference on Pattern Recognition (ICPR'06), volume 1, Hong Kong, China, 2006, pp. 630-633. ⇒191Search in Google Scholar

[28] M. Li, B. H. Kim, A. I. Mourikis, Real-time motion tracking on a cellphone using inertial sensing and a rolling-shutter camera, Proc. of IEEE International Conference on Robotics and Automation (ICRA'13), Karlsruhe, Germany, 2013, pp. 4712-4719. ⇒20810.1109/ICRA.2013.6631248Search in Google Scholar

[29] M. Li, A. I. Mourikis, Optimization-based estimator design for vision-aided inertial navigation, Proc. of the Robotics: Science and Systems Conference, Sydney, NSW, Australia, 2012, pp. 504-509. ⇒20910.15607/RSS.2012.VIII.031Search in Google Scholar

[30] M. Li, A. I. Mourikis, 3-d motion estimation and online temporal calibration for camera-imu systems, Proc. of IEEE International Conference on Robotics and Automation (ICRA'13), Karlsruhe, Germany, 2013, pp. 5709-5716. ⇒20810.1109/ICRA.2013.6631398Search in Google Scholar

[31] M. Li, A. I. Mourikis, High-precision, consistent ekf-based visual-inertial odometry, International Journal of Robotics Research 32, 6 (2013) 690-711. ⇒20810.1177/0278364913481251Search in Google Scholar

[32] M. Li, H. Yu, X. Zheng, A. I. Mourikis, High-fidelity sensor modeling and selfcalibration in vision-aided inertial navigation, Proc. of IEEE International Con- ference on Robotics and Automation (ICRA'14), Hong Kong, China, 2014, pp. 409-416. ⇒20810.1109/ICRA.2014.6906889Search in Google Scholar

[33] J. S. Liu, Monte Carlo Strategies in Scientific Computing, Springer Publishing Company, Incorporated, 2008. ⇒204Search in Google Scholar

[34] H. Longuet-Higgins, A computer algorithm for reconstructing a scene from two projections, Nature 293, 10 (1981) 133-135. ⇒18710.1038/293133a0Search in Google Scholar

[35] M. A. Lourakis, A. Argyros, SBA: A software package for generic sparse bundle adjustment, ACM Transactions on Mathematical Software (TOMS⇒ 36, 1 (2009) 1-30. ⇒19210.1145/1486525.1486527Search in Google Scholar

[36] D. G. Lowe, Object recognition from local scale-invariant features, Proc. of IEEE International Conference on Computer Vision (ICCV'99), volume 2, Kerkyra, Greece, 1999, pp. 1150-1157. ⇒19010.1109/ICCV.1999.790410Search in Google Scholar

[37] J. Matas, O. Chum, M. Urban, T. Pajdla, Robust wide-baseline stereo from maximally stable extremal regions, Image and Vision Computing 22, 10 (2004) 761-767. ⇒19010.1016/j.imavis.2004.02.006Search in Google Scholar

[38] M. Montemerlo, S. Thrun, D. Koller, B. Wegbreit, Fastslam: A factored solution to the simultaneous localization and mapping problem, Proc. of National Con- ference on Artificial Intelligence, American Association for Artificial Intelligence (AAAI), Edmonton, Alberta, Canada, 2002, pp. 593-598. ⇒209Search in Google Scholar

[39] M. Montemerlo, S. Thrun, D. Koller, B. Wegbreit, FastSLAM 2.0: An improvedparticle filtering algorithm for simultaneous localization and mapping that provably converges, Proc. of International Joint Conference on Artificial Intelligence (IJCAI-03), Acapulco, Mexico, 2003, pp. 1151-1156. ⇒209Search in Google Scholar

[40] R. Mur-Artal, J. M. M. Montiel, J. D. Tard_os, ORB-SLAM: a versatile and accurate monocular SLAM system, IEEE Transactions on Robotics 31, 5 (2015) 1147-1163. ⇒19310.1109/TRO.2015.2463671Search in Google Scholar

[41] R. A. Newcombe, S. J. Lovegrove, A. J. Davison, Dtam: Dense tracking and mapping in real-time, Proc. of International Conference on Computer Vision (ICCV'11), IEEE Computer Society, Washington, DC, USA, 2011, pp. 2320-2327. ⇒19610.1109/ICCV.2011.6126513Search in Google Scholar

[42] D. Nist_er, An efficient solution to the five-point relative pose problem, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI'04) 26, 6 (2004) 756-777. ⇒19110.1109/TPAMI.2004.1718579936Search in Google Scholar

[43] D. Nister, H. Stewenius, Scalable recognition with a vocabulary tree, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR'06), volume 2, IEEE Computer Society, Seattle, WA, USA, 2006, pp. 2161-2168. ⇒195, 207Search in Google Scholar

[44] T. Oskiper, Z. Zhu, S. Samarasekera, R. Kumar, Visual odometry system using multiple stereo cameras and inertial measurement unit, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR'07), Minneapolis, MN, USA, 2007, pp. 1-8. ⇒19910.1109/CVPR.2007.383087Search in Google Scholar

[45] O. Pizarro, R. Eustice, H. Singh, Relative pose estimation for instrumented, calibrated imaging platforms, Proc. of Digital Image Computing Techniques and Applications, Sydney, Australia, 2003, pp. 601-612. ⇒191Search in Google Scholar

[46] S. I. Roumeliotis, A. E. Johnson, J. F. Montgomery, Augmenting inertial navigation with image-based motion estimation, Proc. of IEEE International Confer- ence on Robotics and Automation (ICRA'02), volume 4, Washington, DC, USA, 2002, pp. 4326-4333. ⇒199Search in Google Scholar

[47] C. Roussillon, A. Gonzalez, J. Solfia, J.-M. Codol, N. Mansard, S. Lacroix, M. Devy, Rt-slam: A generic and real-time visual slam implementation, Proc. of International Conference of Computer Vision Systems (ICVS'11), Lecture Notes in Computer Science 6962 (2011) 31-40. ⇒20710.1007/978-3-642-23968-7_4Search in Google Scholar

[48] E. Rublee, V. Rabaud, K. Konolige, G. Bradski, Orb: An efficient alternative to sift or surf, Proc. of International Conference on Computer Vision (ICCV'11), Barcelona, Spain, 2011, pp. 2564-2571. ⇒19010.1109/ICCV.2011.6126544Search in Google Scholar

[49] S. Särkkä, Bayesian Filtering and Smoothing, (1st edition), Cambridge University Press, New York, NY, USA, 2013. ⇒203, 20510.1017/CBO9781139344203Search in Google Scholar

[50] D. Scaramuzza, F. Fraundorfer, Visual odometry, part i: The first 30 years and fundamentals, IEEE Robotics & Automation Magazine 18, 4 (2011) 80-92. ⇒ 18710.1109/MRA.2011.943233Search in Google Scholar

[51] M. Smith, I. Baldwin, W. Churchill, R. Paul, P. Newman, The new college vision and laser data set, The International Journal of Robotics Research 28, 5 (2009) 595-599. ⇒21010.1177/0278364909103911Search in Google Scholar

[52] J. Solfia, Consistency of the monocular ekf-slam algorithm for three different landmark parametrizations, Proc. of IEEE International Conference on Robotics and Automation (ICRA'10), Anchorage, Alaska, 2010, pp. 3513-3518. ⇒20510.1109/ROBOT.2010.5509518Search in Google Scholar

[53] J. Sturm, N. Engelhard, F. Endres, W. Burgard, D. Cremers, A benchmark for the evaluation of rgb-d slam systems, Proc. of International Conference on Intelligent Robot Systems (IROS'12), Vilamoura, Algarve, Portugal, 2012, pp. 573-580. ⇒21010.1109/IROS.2012.6385773Search in Google Scholar

[54] J. Tardif, M. G. M. Laverne, A. Kelly, M. Laverne, A new approach to visionaided inertial navigation, Proc. of International Conference on Intelligent Robots and Systems (IROS'10), Taipei, Taiwan, 2010, pp. 4161-4168. ⇒19910.1109/IROS.2010.5651059Search in Google Scholar

[55] B. Triggs, Camera pose and calibration from 4 or 5 known 3d points, Proc. of IEEE International Conference on Computer Vision (ICCV'99), volume 1, Kerkyra, Greece, 1999, pp. 278-284. ⇒19110.1109/ICCV.1999.791231Search in Google Scholar

[56] B. Triggs, P. F. McLauchlan, R. I. Hartley, A. W. Fitzgibbon, Bundle adjustment | a modern synthesis, Proc. of International Workshop on Vision Algorithms: Theory and Practice, Springer Berlin Heidelberg, Corfu, Greece, 1999, pp. 298-372. ⇒19210.1007/3-540-44480-7_21Search in Google Scholar

[57] S. Weiss, R. Siegwart, Real-time metric state estimation for modular visioninertial systems, Proc. of IEEE International Conference on Robotics and Au- tomation (ICRA'11), Shanghai, China, 2011, pp. 4531-4537. ⇒19910.1109/ICRA.2011.5979982Search in Google Scholar

[58] C. Wu, SiftGPU: A GPU implementation of scale invariant feature transform (SIFT), http://cs.unc.edu/~ccwu/siftgpu, 2007. ⇒210Search in Google Scholar

[59] C.Wu, S. Agarwal, B. Curless, S. M. Seitz, Multicore bundle adjustment, Proc. of Conference on Computer Vision and Pattern Recognition (CVPR'11), Colorado Springs, USA, 2011, pp. 3057-3064. ⇒210 10.1109/CVPR.2011.5995552Search in Google Scholar

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