Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Multi-UAV Coverage Planning with Limited Endurance in Disaster
  Environment   For scenes such as floods and earthquakes, the disaster area is large, and
rescue time is tight. Multi-UAV exploration is more efficient than a single
UAV. Existing UAV exploration work is modeled as a Coverage Path Planning (CPP)
task to achieve full coverage of the area in the presence of obstacles.
However, the endurance capability of UAV is limited, and the rescue time is
urgent. Thus, even using multiple UAVs cannot achieve complete disaster area
coverage in time. Therefore, in this paper we propose a multi-Agent
Endurance-limited CPP (MAEl-CPP) problem based on a priori heatmap of the
disaster area, which requires the exploration of more valuable areas under
limited energy. Furthermore, we propose a path planning algorithm for the
MAEl-CPP problem, by ranking the possible disaster areas according to their
importance through satellite or remote aerial images and completing path
planning according to the importance level. Experimental results show that our
proposed algorithm is at least twice as effective as the existing method in
terms of search efficiency.

24
The categories of this paper are: dg-ga
15
The categories of this paper are: nucl-ex
18
The categories of this paper are: econ
2
The categories of this paper are: math
32
The categories of this paper are: atom-ph
25
The categories of this paper are: patt-sol
3
The categories of this paper are: physics
31
The categories of this paper are: ao-sci
13
The categories of this paper are: quant-ph
26
The categories of this paper are: bayes-an
35
The categories of this paper are: mtrl-th
22
The categories of this paper are: chao-dyn
19
The categories of this paper are: eess
7
The categories of this paper are: hep-th
21
The categories of this paper are: adap-org
30
The categories of this paper are: q-alg