Buildings,
Год журнала:
2023,
Номер
13(5), С. 1143 - 1143
Опубликована: Апрель 25, 2023
Natural
disasters
can
cause
severe
damages
to
civil
infrastructure
and
lead
extensive
economic
losses
casualties.
To
improve
the
emergency
response
capability
of
under
extreme
circumstances
such
as
natural
human-caused
hazards,
intelligent
technology
for
management
has
been
extensively
studied.
As
an
emerging
paradigm
interdisciplinary
convergence,
digital
twins
(DTs)
integrate
into
different
stages
provide
a
new
solution
(EMCI).
However,
applications
DT
in
EMCI
have
several
limitations
are
mostly
case
by
case.
sector
needs
more
generalisable
lessons
address
greater
value
context
EMCI.
this
gap,
we
first
carry
out
systematic
literature
review
analyse
latest
progress
previous
research
deficiencies
taking
scientometrical
approach.
Next,
framework
is
proposed
explain
how
be
applied
mitigation,
preparation,
response,
recovery
Lastly,
trends
prospects
discussed.
Overall,
knowledge
gained
from
study
will
promote
development
more-viable
DTs
sector’s
demand
management.
Sensors,
Год журнала:
2022,
Номер
22(2), С. 464 - 464
Опубликована: Янв. 8, 2022
In-flight
system
failure
is
one
of
the
major
safety
concerns
in
operation
unmanned
aerial
vehicles
(UAVs)
urban
environments.
To
address
this
concern,
a
framework
consisting
following
three
main
tasks
can
be
utilized:
(1)
Monitoring
health
UAV
and
detecting
failures,
(2)
Finding
potential
safe
landing
spots
case
critical
detected
step
1,
(3)
Steering
to
spot
found
2.
In
paper,
we
specifically
look
at
second
task,
where
investigate
feasibility
utilizing
object
detection
methods
suffers
an
in-flight
failure.
Particularly,
different
versions
YOLO
objection
method
compare
their
performances
for
specific
application
location
that
has
suffered
We
performance
YOLOv3,
YOLOv4,
YOLOv5l
while
training
them
by
large
image
dataset
called
DOTA
Personal
Computer
(PC)
also
Companion
(CC).
plan
use
chosen
algorithm
on
CC
attached
UAV,
PC
used
verify
trends
see
between
algorithms
CC.
confirm
these
effective
emergency
report
accuracy
speed
application.
Our
investigation
shows
outperforms
YOLOv4
YOLOv3
terms
maintaining
slightly
slower
inference
speed.
IEEE Communications Surveys & Tutorials,
Год журнала:
2022,
Номер
24(4), С. 2633 - 2672
Опубликована: Янв. 1, 2022
Non-terrestrial
networks
(NTNs)
traditionally
have
certain
limited
applications.
However,
the
recent
technological
advancements
and
manufacturing
cost
reduction
opened
up
myriad
applications
of
NTNs
for
5G
beyond
networks,
especially
when
integrated
into
terrestrial
(TNs).
This
article
comprehensively
surveys
evolution
highlighting
their
relevance
to
essentially,
how
it
will
play
a
pivotal
role
in
development
6G
ecosystem.
We
discuss
important
features
integration
TNs
synergies
by
delving
new
range
services
use
cases,
various
architectures,
enablers,
higher
layer
aspects
pertinent
integration.
Moreover,
we
review
corresponding
challenges
arising
from
technical
peculiarities
approaches
being
adopted
develop
efficient
ground-air-space
(GAS)
networks.
Our
survey
further
includes
major
progress
outcomes
academic
research
as
well
industrial
efforts
representing
main
trends,
field
trials,
prototyping
towards
ISPRS Journal of Photogrammetry and Remote Sensing,
Год журнала:
2022,
Номер
184, С. 215 - 242
Опубликована: Янв. 17, 2022
The
use
of
Unmanned
Aerial
Vehicles
(UAVs)
has
surged
in
the
last
two
decades,
making
them
popular
instruments
for
a
wide
range
applications,
and
leading
to
remarkable
number
scientific
contributions
geoscience,
remote
sensing
engineering.
However,
development
best
practices
high
quality
UAV
mapping
are
often
overlooked
representing
drawback
their
wider
adoption.
solutions
then
require
an
inter-disciplinary
research,
integrating
different
expertise
combining
several
hardware
software
components
on
same
platform.
Despite
peer-reviewed
papers
UAVs,
little
attention
been
given
interaction
between
research
topics
from
domains
(such
as
robotics
computer
vision)
that
impact
sensing.
aim
this
paper
is
(i)
review
UAVs
applications
(ii)
report
current
trends
-
including
adjacent
discuss
future
photogrammetry
Hardware
developments,
navigation
acquisition
strategies,
emerging
data
processing
innovative
considered
analysis.
As
heterogeneity
debated
large,
organized
according
very
specific
questions
most
relevant
by
authors.
IEEE Geoscience and Remote Sensing Magazine,
Год журнала:
2021,
Номер
10(1), С. 91 - 124
Опубликована: Ноя. 4, 2021
Owing
to
effective
and
flexible
data
acquisition,
unmanned
aerial
vehicle
(UAV)
has
recently
become
a
hotspot
across
the
fields
of
computer
vision
(CV)
remote
sensing
(RS).
Inspired
by
recent
success
deep
learning
(DL),
many
advanced
object
detection
tracking
approaches
have
been
widely
applied
various
UAV-related
tasks,
such
as
environmental
monitoring,
precision
agriculture,
traffic
management.
This
paper
provides
comprehensive
survey
on
research
progress
prospects
DL-based
UAV
methods.
More
specifically,
we
first
outline
challenges,
statistics
existing
methods,
provide
solutions
from
perspectives
models
in
three
topics:
image,
video,
video.
Open
datasets
related
UAV-dominated
are
exhausted,
four
benchmark
employed
for
performance
evaluation
using
some
state-of-the-art
Finally,
considerations
future
work
discussed
summarized.
It
is
expected
that
this
can
facilitate
those
researchers
who
come
field
with
an
overview
along
thoughts
their
further
developments.
Drones,
Год журнала:
2023,
Номер
7(6), С. 398 - 398
Опубликована: Июнь 15, 2023
In
recent
years,
UAV
remote
sensing
has
gradually
attracted
the
attention
of
scientific
researchers
and
industry,
due
to
its
broad
application
prospects.
It
been
widely
used
in
agriculture,
forestry,
mining,
other
industries.
UAVs
can
be
flexibly
equipped
with
various
sensors,
such
as
optical,
infrared,
LIDAR,
become
an
essential
observation
platform.
Based
on
sensing,
obtain
many
high-resolution
images,
each
pixel
being
a
centimeter
or
millimeter.
The
purpose
this
paper
is
investigate
current
applications
well
aircraft
platforms,
data
types,
elements
category;
processing
methods,
etc.;
study
advantages
technology,
limitations,
promising
directions
that
still
lack
applications.
By
reviewing
papers
published
field
we
found
research
classified
into
four
categories
according
field:
(1)
Precision
including
crop
disease
observation,
yield
estimation,
environmental
observation;
(2)
Forestry
forest
identification,
disaster
(3)
Remote
power
systems;
(4)
Artificial
facilities
natural
environment.
We
image
(RGB,
multi-spectral,
hyper-spectral)
mainly
neural
network
methods;
monitoring,
multi-spectral
are
most
studied
type
data;
for
LIDAR
data,
end-to-end
method;
review
examines
development
process
certain
fields
implementation
some
predictions
made
about
possible
future
directions.
Systems,
Год журнала:
2023,
Номер
11(8), С. 400 - 400
Опубликована: Авг. 2, 2023
The
growing
interest
in
unmanned
aerial
vehicles
(UAVs)
from
both
the
scientific
and
industrial
sectors
has
attracted
a
wave
of
new
researchers
substantial
investments
this
expansive
field.
However,
due
to
wide
range
topics
subdomains
within
UAV
research,
newcomers
may
find
themselves
overwhelmed
by
numerous
options
available.
It
is
therefore
crucial
for
those
involved
research
recognize
its
interdisciplinary
nature
connections
with
other
disciplines.
This
paper
presents
comprehensive
overview
field,
highlighting
recent
trends
advancements.
Drawing
on
literature
reviews
surveys,
review
begins
classifying
UAVs
based
their
flight
characteristics.
then
provides
an
current
UAVs,
utilizing
data
Scopus
database
quantify
number
documents
associated
each
direction
interconnections.
also
explores
potential
areas
further
development
including
communication,
artificial
intelligence,
remote
sensing,
miniaturization,
swarming
cooperative
control,
transformability.
Additionally,
it
discusses
aircraft
commonly
used
control
techniques,
appropriate
algorithms
research.
Furthermore,
addresses
general
hardware
software
architecture
applications,
key
issues
them.
open
source
projects
By
presenting
view
aims
enhance
our
understanding
rapidly
evolving
highly
area
International Journal of Applied Earth Observation and Geoinformation,
Год журнала:
2023,
Номер
124, С. 103540 - 103540
Опубликована: Ноя. 1, 2023
Segmentation
is
an
essential
step
for
remote
sensing
image
processing.
This
study
aims
to
advance
the
application
of
Segment
Anything
Model
(SAM),
innovative
segmentation
model
by
Meta
AI,
in
field
analysis.
SAM
known
its
exceptional
generalization
capabilities
and
zero-shot
learning,
making
it
a
promising
approach
processing
aerial
orbital
images
from
diverse
geographical
contexts.
Our
exploration
involved
testing
across
multi-scale
datasets
using
various
input
prompts,
such
as
bounding
boxes,
individual
points,
text
descriptors.
To
enhance
model's
performance,
we
implemented
novel
automated
technique
that
combines
text-prompt-derived
general
example
with
one-shot
training.
adjustment
resulted
improvement
accuracy,
underscoring
SAM's
potential
deployment
imagery
reducing
need
manual
annotation.
Despite
limitations,
encountered
lower
spatial
resolution
images,
exhibits
adaptability
data
We
recommend
future
research
proficiency
through
integration
supplementary
fine-tuning
techniques
other
networks.
Furthermore,
provide
open-source
code
our
modifications
on
online
repositories,
encouraging
further
broader
adaptations
domain.
