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##Introduction Kalibr is a toolbox that solves the following calibration problems:

1. Multiple camera calibration: intrinsic and extrinsic calibration of a camera-systems with non-globally shared overlapping fields of view
2. Camera-IMU calibration: spatial and temporal calibration of an IMU w.r.t a camera-system

To make the calibration task more convenient and reproducible the following tools are provided:

1. camera focus: tool to set the camera focus in a reproducible way
2. calibration validator: validation tool that computes the reprojection error statistics of the calibrated camera-system on live ROS image streams

##Authors

• Paul Furgale (email)
• Jérôme Maye (email)
• Jörn Rehder (email)
• Thomas Schneider (email)

References

The calibration approaches used in Kalibr primarily bases on the following papers. Please cite the appropriate papers when using this toolbox or parts of it in an academic publication.

1. Paul Furgale, Joern Rehder, Roland Siegwart (2013). Unified Temporal and Spatial Calibration for Multi-Sensor Systems. In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Tokyo, Japan.
2. Paul Furgale, T D Barfoot, G Sibley (2012). Continuous-Time Batch Estimation Using Temporal Basis Functions. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), pp. 2088–2095, St. Paul, MN.
3. J. Maye, P. Furgale, R. Siegwart (2013). Self-supervised Calibration for Robotic Systems, In Proc. of the IEEE Intelligent Vehicles Symposium (IVS)

##License (BSD) Copyright (c) 2014, Paul Furgale, Jérôme Maye and Jörn Rehder, Autonomous Systems Lab, ETH Zurich, Switzerland
Copyright (c) 2014, Thomas Schneider, Skybotix AG, Switzerland
All rights reserved.

Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:

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