Volume XXXIX-B3
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXIX-B3, 491-496, 2012
https://doi.org/10.5194/isprsarchives-XXXIX-B3-491-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXIX-B3, 491-496, 2012
https://doi.org/10.5194/isprsarchives-XXXIX-B3-491-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.

  01 Aug 2012

01 Aug 2012

FAST POWER LINE DETECTION AND LOCALIZATION USING STEERABLE FILTER FOR ACTIVE UAV GUIDANCE

Y. Liu1, L. Mejias1, and Z. Li2 Y. Liu et al.
  • 1Cooperative Research Centre for Spatial Information and Australian Research Centre for Aerospace Automation at Queensland University of Technology, 22-24 Boronia Road, Eagle Farm, Brisbane, QLD, 4009 Australia
  • 2ROAMES, Ergon Energy, 61 Mary Street, Brisbane, QLD 4000, Australia

Keywords: line detection, steerable filter, oriented filter, Gaussian kernel, power line, UAV guidance

Abstract. In this paper we present a fast power line detection and localisation algorithm as well as propose a high-level guidance architecture for active vision-based Unmanned Aerial Vehicle (UAV) guidance. The detection stage is based on steerable filters for edge ridge detection, followed by a line fitting algorithm to refine candidate power lines in images. The guidance architecture assumes an UAV with an onboard Gimbal camera. We first control the position of the Gimbal such that the power line is in the field of view of the camera. Then its pose is used to generate the appropriate control commands such that the aircraft moves and flies above the lines. We present initial experimental results for the detection stage which shows that the proposed algorithm outperforms two state-of-the-art line detection algorithms for power line detection from aerial imagery.