Skip to Main content Skip to Navigation
Conference papers

On the Covariance of ICP-based Scan-matching Techniques

Abstract : This paper considers the problem of estimating the covariance of roto-translations computed by the Iterative Closest Point (ICP) algorithm. The problem is relevant for localization of mobile robots and vehicles equipped with depth-sensing cameras (e.g., Kinect) or Lidar (e.g., Velodyne). The closed-form formulas for covariance proposed in previous literature generally build upon the fact that the solution to ICP is obtained by minimizing a linear least-squares problem. In this paper, we show this approach needs caution because the rematching step of the algorithm is not explicitly accounted for, and applying it to the point-to-point version of ICP leads to completely erroneous covariances. We then provide a formal mathematical proof why the approach is valid in the point-to-plane version of ICP, which validates the intuition and experimental results of practitioners.
Document type :
Conference papers
Complete list of metadata
Contributor : François Goulette Connect in order to contact the contributor
Submitted on : Tuesday, May 9, 2017 - 4:32:13 PM
Last modification on : Wednesday, November 17, 2021 - 12:31:04 PM


  • HAL Id : hal-01519995, version 1


Silvère Bonnabel, Martin Barczyk, François Goulette. On the Covariance of ICP-based Scan-matching Techniques. 2016 American Control Conference (ACC), Jul 2016, Boston, United States. ⟨hal-01519995⟩



Record views