Constraints for Heterogeneous Sensor Auto-Calibration

CVPR 2004 pp. 38

doi:10.1109/CVPR.2004.316 /cvpr/2004/zhang2004cvpr-constraints/

Abstract

This paper describes a framework for calibrating motion sensitive sensors attached to an autonomous vehicle. Based on camera auto-calibration techniques, we derive constraints relating sensor measurements to the relative position and orientation of different sensors. For the case of a camera and laser range finder, we present an auto-calibration algorithm for discrete motions. Auto-calibration tools are vital for real world use of vision algorithms, and the framework presented here is important to merge image sensors with GPS, inertial, infrared and ultra-sonic sensors.

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Cite

Text

Zhang and Pless. "Constraints for Heterogeneous Sensor Auto-Calibration." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2004. doi:10.1109/CVPR.2004.316

Markdown

[Zhang and Pless. "Constraints for Heterogeneous Sensor Auto-Calibration." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2004.](https://mlanthology.org/cvpr/2004/zhang2004cvpr-constraints/) doi:10.1109/CVPR.2004.316

BibTeX

@inproceedings{zhang2004cvpr-constraints,
  title     = {{Constraints for Heterogeneous Sensor Auto-Calibration}},
  author    = {Zhang, Qilong and Pless, Robert},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2004},
  pages     = {38},
  doi       = {10.1109/CVPR.2004.316},
  url       = {https://mlanthology.org/cvpr/2004/zhang2004cvpr-constraints/}
}