English

Adaptive Cost Function for Pointcloud Registration

Robotics 2017-04-27 v1 Computer Vision and Pattern Recognition

Abstract

In this paper we introduce an adaptive cost function for pointcloud registration. The algorithm automatically estimates the sensor noise, which is important for generalization across different sensors and environments. Through experiments on real and synthetic data, we show significant improvements in accuracy and robustness over state-of-the-art solutions.

Keywords

Cite

@article{arxiv.1704.07910,
  title  = {Adaptive Cost Function for Pointcloud Registration},
  author = {Johan Ekekrantz and John Folkesson and Patric Jensfelt},
  journal= {arXiv preprint arXiv:1704.07910},
  year   = {2017}
}

Comments

10 pages, 7 figures, 1 table

R2 v1 2026-06-22T19:27:52.795Z