Towards Finding an Optimal Flight Zone for a Side-by-Side Tracking UAV w.r.t Extraction of Dynamic Vector Fields

In this paper we present work towards finding an optimal flight zone of an Unmanned Aerial Vehicle (UAV) as adhering to space-restricting factors brought upon by a dynamic vector field extraction algorithm. The objective of the UAV is to perform side-by-side tracking and following of a lightweight ground vehicle while acquiring high quality video of tufts attached to the side of the tracked vehicle. The recorded video is supplied to a dynamic vector field extraction algorithm that produces the positions and deformations of the tufts over time as they interact with the surrounding air, resulting in an airflow model of the tracked vehicle. The present limitations of wind tunnel tests and computational fluid dynamics simulation suggest the use of a UAV for real world evaluation of the aerodynamic properties of the shell of the vehicles exterior. The novelty of the proposed approach is alluded to defining specific flight zone restricting factors while adhering to the vector field extraction algorithm, where as a result we were capable of formalizing a locally-static and a globally-dynamic geofence attached to the tracked vehicle and enclosing the UAV. Moreover, a drone video quality and stability analysis tool was implemented to aid in quantifying the quality of the drone video and in constructing the geofence.

• Publication year

  2018

• Venue

  Automation, Control, and Information Technology

• Publication date

  2018-11-01

• Fields of study

  Computer Science, Engineering

• Identifiers
  DOI 10.1109/ACIT.2018.8672714
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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