System identification: theory for the user
System identification: theory for the user
A Generic Camera Model and Calibration Method for Conventional, Wide-Angle, and Fish-Eye Lenses
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Introduction to Inertial and Visual Sensing
International Journal of Robotics Research
Relative Pose Calibration Between Visual and Inertial Sensors
International Journal of Robotics Research
Modeling and Calibration of Inertial and Vision Sensors
International Journal of Robotics Research
Visual-inertial simultaneous localization, mapping and sensor-to-sensor self-calibration
CIRA'09 Proceedings of the 8th IEEE international conference on Computational intelligence in robotics and automation
Visual-Inertial Sensor Fusion: Localization, Mapping and Sensor-to-Sensor Self-calibration
International Journal of Robotics Research
Analyzing and evaluating markerless motion tracking using inertial sensors
ECCV'10 Proceedings of the 11th European conference on Trends and Topics in Computer Vision - Volume Part I
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This paper is concerned with the problem of estimating the relative translation and orientation of an inertial measurement unit and a spherical camera, which are rigidly connected. The key is to realize that this problem is in fact an instance of a standard problem within the area of system identification, referred to as a gray-box problem. We propose a new algorithm for estimating the relative translation and orientation, which does not require any additional hardware, except a piece of paper with a checkerboard pattern on it. The experimental results show that the method works well in practice.