Spatio-Temporally Smooth Local Mapping and State Estimation Inside Generalized Cylinders with Micro Aerial Vehicles

Tolga Ozaslan, Giuseppe Loianno, James Keller, Camillo J. Taylor, Vijay Kumar

Research output: Contribution to journalArticle

Abstract

In this letter, we consider state estimation and local mapping with a micro aerial vehicle inside a tunnel that can be modeled as a generalized cylinder, using a three-dimensional lidar and an inertial measurement unit. This axisymmetric environment poses unique challenges in terms of localization and mapping. The point cloud data returned by the sensor consists of indiscriminate partial cylindrical patches complicating data association. The proposed method reconstructs an egocentric local map through an optimization process on a nonlinear manifold, which is then fed into a constrained unscented Kalman filter. The proposed method easily adapts to different diameters, cross sections, and changes in center line curves. The proposed approach outperforms our previous contribution [T. Ozaslan, G. Loianno, J. Keller, C. J. Taylor, V. Kumar, J. M. Wozencraft, and T. Hood, 'Autonomous navigation and mapping for inspection of penstocks and tunnels with MAVs,' IEEE Robotics Automation Letter, vol. 2, no. 3, pp. 1740-1747, Jul. 2017] in terms of mapping quality and robustness to noncylindrical cross sections. Our motivation is to automate the labor intensive, dangerous, and the expensive inspection of penstocks with the least operator intervention. We present experimental results obtained in Center Hill Dam, TN, USA, to validate the proposed approach.

Original languageEnglish (US)
Article number8424017
Pages (from-to)4209-4216
Number of pages8
JournalIEEE Robotics and Automation Letters
Volume3
Issue number4
DOIs
StatePublished - Oct 2018

Keywords

  • Aerial system applications
  • field robots
  • mapping and localization

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Biomedical Engineering
  • Human-Computer Interaction
  • Mechanical Engineering
  • Computer Vision and Pattern Recognition
  • Computer Science Applications
  • Control and Optimization
  • Artificial Intelligence

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