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Intell."},{"key":"10.1016\/j.displa.2024.102806_b76","series-title":"2018 IEEE International Conference on Robotics and Automation","first-page":"6939","article-title":"Deep auxiliary learning for visual localization and odometry","author":"Valada","year":"2018"},{"key":"10.1016\/j.displa.2024.102806_b77","doi-asserted-by":"crossref","DOI":"10.1016\/j.displa.2023.102553","article-title":"Self-supervised deep monocular visual odometry and depth estimation with observation variation","volume":"80","author":"Zhao","year":"2023","journal-title":"Displays"},{"key":"10.1016\/j.displa.2024.102806_b78","doi-asserted-by":"crossref","first-page":"875","DOI":"10.1007\/s12559-018-9591-8","article-title":"Ongoing evolution of visual SLAM from geometry to deep learning: Challenges and opportunities","volume":"10","author":"Li","year":"2018","journal-title":"Cogn. Comput."},{"key":"10.1016\/j.displa.2024.102806_b79","doi-asserted-by":"crossref","unstructured":"T. Sattler, Q. Zhou, M. Pollefeys, L. Leal-Taixe, Understanding the limitations of cnn-based absolute camera pose regression, in: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 2019, pp. 3302\u20133312.","DOI":"10.1109\/CVPR.2019.00342"},{"key":"10.1016\/j.displa.2024.102806_b80","article-title":"Cp-slam: Collaborative neural point-based slam system","volume":"36","author":"Hu","year":"2024","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"10.1016\/j.displa.2024.102806_b81","series-title":"Seminar\/Project Image Analysis Graz","article-title":"Marker detection for augmented reality applications","volume":"Vol. 25","author":"Hirzer","year":"2008"},{"key":"10.1016\/j.displa.2024.102806_b82","doi-asserted-by":"crossref","first-page":"46","DOI":"10.1016\/j.displa.2018.10.003","article-title":"Designing of marker-based augmented reality learning environment for kids using convolutional neural network architecture","volume":"55","author":"Dash","year":"2018","journal-title":"Displays"},{"issue":"6","key":"10.1016\/j.displa.2024.102806_b83","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1109\/MCG.2002.1046627","article-title":"Augmented reality camera tracking with homographies","volume":"22","author":"Prince","year":"2002","journal-title":"IEEE Comput. Graph. Appl."},{"issue":"2","key":"10.1016\/j.displa.2024.102806_b84","doi-asserted-by":"crossref","first-page":"138","DOI":"10.1007\/s11263-013-0647-7","article-title":"Closed-form solution of visual-inertial structure from motion","volume":"106","author":"Martinelli","year":"2014","journal-title":"Int. J. Comput. Vis."},{"issue":"1","key":"10.1016\/j.displa.2024.102806_b85","doi-asserted-by":"crossref","first-page":"18","DOI":"10.1109\/LRA.2016.2521413","article-title":"Simultaneous state initialization and gyroscope bias calibration in visual inertial aided navigation","volume":"2","author":"Kaiser","year":"2016","journal-title":"IEEE Robot. Autom. Lett."},{"issue":"2","key":"10.1016\/j.displa.2024.102806_b86","doi-asserted-by":"crossref","first-page":"796","DOI":"10.1109\/LRA.2017.2653359","article-title":"Visual-inertial monocular SLAM with map reuse","volume":"2","author":"Mur-Artal","year":"2017","journal-title":"IEEE Robot. Autom. Lett."},{"key":"10.1016\/j.displa.2024.102806_b87","series-title":"2017 IEEE\/RSJ International Conference on Intelligent Robots and Systems","first-page":"4225","article-title":"Robust initialization of monocular visual-inertial estimation on aerial robots","author":"Qin","year":"2017"},{"issue":"1","key":"10.1016\/j.displa.2024.102806_b88","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1109\/TASE.2016.2550621","article-title":"Monocular visual\u2013inertial state estimation with online initialization and camera\u2013IMU extrinsic calibration","volume":"14","author":"Yang","year":"2016","journal-title":"IEEE Trans. Autom. Sci. Eng."},{"key":"10.1016\/j.displa.2024.102806_b89","series-title":"2020 IEEE International Conference on Robotics and Automation","first-page":"51","article-title":"Inertial-only optimization for visual-inertial initialization","author":"Campos","year":"2020"},{"key":"10.1016\/j.displa.2024.102806_b90","series-title":"A general optimization-based framework for global pose estimation with multiple sensors","author":"Qin","year":"2019"},{"key":"10.1016\/j.displa.2024.102806_b91","series-title":"2018 IEEE\/RSJ International Conference on Intelligent Robots and Systems","first-page":"3662","article-title":"Online temporal calibration for monocular visual-inertial systems","author":"Qin","year":"2018"},{"issue":"11","key":"10.1016\/j.displa.2024.102806_b92","doi-asserted-by":"crossref","first-page":"1231","DOI":"10.1177\/0278364913491297","article-title":"Vision meets robotics: The kitti dataset","volume":"32","author":"Geiger","year":"2013","journal-title":"Int. J. Robot. Res."},{"issue":"10","key":"10.1016\/j.displa.2024.102806_b93","doi-asserted-by":"crossref","first-page":"1157","DOI":"10.1177\/0278364915620033","article-title":"The EuRoC micro aerial vehicle datasets","volume":"35","author":"Burri","year":"2016","journal-title":"Int. J. Robot. Res."},{"key":"10.1016\/j.displa.2024.102806_b94","series-title":"2018 IEEE\/RSJ International Conference on Intelligent Robots and Systems","first-page":"1680","article-title":"The TUM VI benchmark for evaluating visual-inertial odometry","author":"Schubert","year":"2018"},{"key":"10.1016\/j.displa.2024.102806_b95","series-title":"Computer vision group - datasets - monocular visual odometry dataset","year":"2016"},{"issue":"1","key":"10.1016\/j.displa.2024.102806_b96","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1177\/0278364916679498","article-title":"1 year, 1000 km: The oxford robotcar dataset","volume":"36","author":"Maddern","year":"2017","journal-title":"Int. J. Robot. 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