Continuous Models for Cameras and Inertial Sensors.
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| Superior document: | Linköping Studies in Science and Technology. Dissertations Series ; v.1951 |
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| Place / Publishing House: | Linköping : : Linkopings Universitet,, 2018. {copy}2018. |
| Year of Publication: | 2018 |
| Edition: | 1st ed. |
| Language: | English |
| Series: | Linköping Studies in Science and Technology. Dissertations Series
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| Online Access: | |
| Physical Description: | 1 online resource (78 pages) |
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Table of Contents:
- Intro
- POPULÄRVETENSKAPLIG SAMMANFATTNING
- ABSTRACT
- Acknowledgments
- Contents
- I Background
- Introduction
- Motivation
- Contributions
- Outline
- Included publications
- Other publications
- Sensors
- Cameras
- Depth cameras
- Inertial measurement units
- Continuous-time visual-inertial fusion
- Simultaneous localization and mapping (SLAM)
- Structure from motion by bundle adjustment
- Continuous-time structure from motion
- Inertial measurements
- Trajectory smoothness constraints
- Landmark representation
- Rolling shutter modelling
- Robust structure from motion
- Spline-based trajectories
- B-splines
- Splines as camera pose trajectories
- Splines in R3
- Splines in SO(3)
- Splines in SE(3)
- Representation power
- Camera-IMU calibration
- Camera calibration
- Rolling shutter image readout calibration
- IMU calibration
- Camera-IMU calibration and synchronization
- Evaluation methods
- Ground-truth trajectories
- Indirect trajectory quality metrics
- Measuring 3D distortion
- Concluding remarks
- Bibliography
- Papers.