IQ-VIO: adaptive visual inertial odometry via interference quantization under dynamic environments
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Mechanical Engineering,Engineering (miscellaneous),Computational Mechanics
Link
https://link.springer.com/content/pdf/10.1007/s11370-023-00478-2.pdf
Reference37 articles.
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2. van Goor P, Mahony R (2021) An equivariant filter for visual inertial odometry. In: 2021 IEEE international conference on robotics and automation (ICRA). IEEE, pp 14432–14438. https://doi.org/10.1109/ICRA48506.2021.9561769
3. Shao X, Zhang L, Zhang T, Shen Y, Li H, Zhou Y (2020) A tightly-coupled semantic SLAM system with visual, inertial and surround-view sensors for autonomous indoor parking. In: Proceedings of the 28th ACM international conference on multimedia, pp 2691–2699. https://doi.org/10.1145/3394171.3413867
4. Song S, Lim H, Lee AJ, Myung H (2022) DynaVINS: a visual-inertial SLAM for dynamic environments. IEEE Robot Autom Lett 7(4):11523–11530. https://doi.org/10.1109/LRA.2022.3203231
5. Bescos B, Fácil JM, Civera J, Neira J (2018) DynaSLAM: tracking, mapping, and inpainting in dynamic scenes. IEEE Robot Autom Lett 3(4):4076–4083. https://doi.org/10.1109/LRA.2018.2860039
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