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A Spline-Based Trajectory Representation for Sensor Fusion and Rolling Shutter Cameras
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“Slidingwindow B-spline formulations were also used in SLAM with rolling shutter cameras, with a landmark-based representation by Patron-Perez et al. [196] and with a semi-dense direct representation by Kim et al. [133].”
From Past, Present, and Future of Simultaneous Localization and Mapping: Toward the Robust-Perception Age (2016) · cites this paper as [196]
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Jung, R., Horyna, J., Jantos, T., Martin, S., & Weiß, S. (2025) · International Conference on Unmanned Aircraft Systems (ICUAS) · doi:10.1109/icuas65942.2025.11007891
Continuous-Time Estimation in the Flat Output Space Using B-Splines
Johnson, J., Mangelson, J. G., & Beard, R. W. (2025) · IEEE/ION Position Location and Navigation Symposium · doi:10.1109/plans61210.2025.11028515
Spline-Based Factor-Graph Optimization with High-Grade Inertial Sensors
Leland, K., Taylor, C. N., Woodburn, D., & Beard, R. W. (2026) · NAVIGATION Journal of the Institute of Navigation · doi:10.33012/navi.742
OmniVIL-Calib: Target-Free Joint Calibration for Omnidirectional Camera, IMU, and LiDAR
Tu, Y., Mei, R., & Cheng, H. (2026) · IEEE Robotics and Automation Letters · doi:10.1109/lra.2026.3662650
Self-calibration for consumer omnidirectional multi-camera mounted on a helmet
Nguyen, T.-T. (2017) · theses.fr (ABES) · doi:10.70675/420c00ccz213fz42eez9b9dz24867b13940e
3D Vision Geometry for Rolling Shutter Cameras
Lao, Y. (2019) · theses.fr (ABES) · doi:10.70675/9c6f6b63z06f6z4e91z9a8bz9509605f1ef0
Metadata
- Authors
- Patron-Perez, A., Lovegrove, S., & Sibley, G.
- Affiliations
- University of Colorado Boulder (US)
- Corresponding author
- Patron-Perez, Alonso
- Venue
- International Journal of Computer Vision
- Published
- 2015-02-27
- Volume
- 113
- Issue
- 3
- Pages
- 208-219
- ISSN
- 0920-5691 (ISSN-L)
- 1573-1405
- OpenAlex
- W2061176333
- Cited by
- 104
- References
- 40
- Citations by year
- 2026: 4 · 2025: 4 · 2024: 12 · 2023: 14 · 2022: 8 · 2021: 13 · 2020: 8 · 2019: 7 · 2018: 14 · 2017: 8 · 2016: 9 · 2015: 3
- FWCI
- 16.45
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- International Journal of Computer Vision (publishedVersion)
- Funders
- Toyota Motor Engineering and Manufacturing North America
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Robotics and Sensor-Based Localization
- Physical Sciences › Engineering › Aerospace Engineering › Inertial Sensor and Navigation
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Vision and Imaging
- Keywords
- cubic B-splines, camera motion estimation, rolling shutter camera, visual-inertial SLAM, rolling window estimation, camera calibration
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
