Journal of Northeastern University Natural Science ›› 2015, Vol. 36 ›› Issue (8): 1069-1073.DOI: 10.12068/j.issn.1005-3026.2015.08.002

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Estimation of Boundary and Area Using Aircraft with Integrated Navigation and EKPF

SHI Tian-wei, WANG Hong, SUN Ming-xing   

  1. School of Mechanical Engineering & Automation, Northeastern University, Shenyang 110819, China.
  • Received:2014-04-30 Revised:2014-04-30 Online:2015-08-15 Published:2015-08-28
  • Contact: WANG Hong
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Abstract: An algorithm was proposed to estimate the boundary and area of terrains with the quadrotor aircraft as the measuring instrument. The tightly coupled closed-loop integrated navigation system (strap-down inertial navigation system and global positioning system) was used to collect the positioning data. The Pauta criterion and EKPF (extended Kalman particle filter) were used to exclude the anomalous positioning data and dispose the remaining positioning data respectively. The boundary and area were estimated using the proposed algorithm based on the final positioning data. The front facing and bottom facing cameras of the aircraft were used to determine the flight direction and select the boundary points. This algorithm could be used to estimate irregular convex polygons, concave polygons and segmental arcs. The estimation error was limited within ±1.2%. The actual flight test results indicated the feasibility and accuracy of the proposed algorithm.

Key words: quadrotor aircraft, integrated navigation, boundary and area estimation, Pauta criterion, extended Kalman particle filter

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