Renormalization for Initialization of Rolling Shutter Visual-Inertial Odometry
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Software
Link
https://link.springer.com/content/pdf/10.1007/s11263-021-01462-y.pdf
Reference42 articles.
1. Albl, C., Kukelova, Z., & Pajdla, T. (2015) R6P - rolling shutter absolute pose problem. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, CVPR.
2. Albl, C., Kukelova, Z., & Pajdla, T. (2016) Rolling shutter absolute pose problem with known vertical direction. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, CVPR.
3. Apple (2015) ARKit. https://developer.a-pple.co-m/aug-men-ted-reality
4. Bapat, A., Price,T., & Frahm, JM. (2018) Rolling shutter and radial distortion are features for high frame rate multi-camera tracking. In: Proceedings of the IEEE Conference on Computer Vision and pattern Recognition CVPR.
5. Campos, C., Montiel, J., & Tardos, J. D. (2019) Fast and Robust Initialization for Visual-Inertial SLAM. In: Proceedings of the International Conference on Robotics and Automation (ICRA), IEEE.
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1. CR-LDSO: Direct Sparse LiDAR-Assisted Visual Odometry With Cloud Reusing;IEEE Transactions on Multimedia;2023
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