English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

This paper addresses path planning of an unmanned aerial vehicle (UAV) withremote sensing capabilities (or wireless communication capabilities). The goalof the path planning is to find a minimum-flight-time closed tour of the UAVvisiting all executable areas of given remote sensing and communication tasks;in order to incorporate the nonlinear vehicle dynamics, this problem isregarded as a dynamically-constrained traveling salesman problem withneighborhoods. To obtain a close-to-optimal solution for the path planning in atractable manner, a sampling-based roadmap algorithm that embeds an optimalcontrol-based path generation process is proposed. The algorithm improves thecomputational efficiency by reducing numerical computations required foroptimizing inefficient local paths, and by extracting additional informationfrom a roadmap of a fixed number of samples. Comparative numerical simulationsvalidate the efficiency of the presented algorithm in reducing computation timeand improving the solution quality compared to previous roadmap-based planningmethods.

Optimal Control-Based UAV Path Planning with Dynamically-Constrained TSP with Neighborhoods