Mathematics,
Год журнала:
2024,
Номер
12(24), С. 3940 - 3940
Опубликована: Дек. 14, 2024
The
endeavor
of
spatial
position
reasoning
effectively
simulates
the
sensory
and
comprehension
faculties
artificial
intelligence,
especially
within
purview
multimodal
modeling
that
fuses
imagery
with
linguistic
data.
Recent
progress
in
visual
image–language
models
has
marked
significant
advancements
tasks.
Notably,
contrastive
learning
based
on
Contrastive
Language-Image
pre-training
(CLIP)
framework
have
attracted
substantial
interest.
Predominantly,
current
focus
nominal
verbal
elements
image
descriptions,
while
locatives
receive
comparatively
less
attention.
However,
prepositional
indicators
are
pivotal
for
encapsulating
critical
positional
data
between
entities
images,
which
is
essential
capabilities
models.
This
paper
introduces
a
location
model
founded
locative
terms.
concentrates
prepositions
locational
interrelations
images
through
these
prepositions,
evaluates
corroborates
interconnections
harmonizes
precision
image–textual
descriptions.
represents
an
enhancement
CLIP
model,
delving
deeply
into
semantic
characteristics
highlighting
their
directive
role
language
Empirical
evidence
suggests
proposed
adeptly
captures
correlation
both
textual
representations
across
open
datasets.
incorporation
terms
was
observed
to
elevate
average
predictive
accuracy
by
approximately
three
percentage
points.
Results in Engineering,
Год журнала:
2024,
Номер
23, С. 102626 - 102626
Опубликована: Июль 27, 2024
The
rapid
advancement
of
Connected
Autonomous
Vehicles
(CAVs)
equipped
with
self-powered
sensors
is
poised
to
revolutionize
road
safety,
efficiency,
and
the
quality
travel.
However,
effective
integration
these
technologies
within
dynamic
environments
poses
significant
challenges,
highlighting
need
for
innovative
multi-criteria
decision-making
(MCDM)
approaches
optimize
their
deployment.
This
study
tries
solve
problem
by
proposing
an
MCDM
method
that
uses
fuzzy
sets
evaluate
rank
different
scenarios
better
performance
augmented
intelligence
Internet
Things
(IoT)
in
CAVs.
research
two
key
techniques:
Fuzzy
Logarithm
Incremental
Weights
(F-LMAW)
criteria
evaluation
Fermatean
Weighted
Aggregated
Sum
Product
Assessment
(FF-WASPAS)
scenario
evaluation.
To
ensure
reliability
accuracy
results,
a
sensitivity
analysis
was
conducted.
confirmed
effectiveness
proposed
approach.
study's
results
showed
third
(the
IoT
urban
areas
via
sensors)
got
highest
score,
which
shows
how
important
it
compared
other
choices.
obtained
highlight
importance
integrating
enhance
public
transportation
autonomous
vehicles
sensors.
Information Fusion,
Год журнала:
2024,
Номер
114, С. 102656 - 102656
Опубликована: Авг. 28, 2024
In
"low-cost"
solutions,
ensuring
economic
accessibility
and
democratizing
the
availability
of
emerging
technologies
stand
as
pivotal
considerations.
This
study
undertakes
a
systematic
literature
review
low-cost
3D
mapping
solutions.
Leveraging
SCOPUS
primary
database,
comprehensive
bibliometric
analysis
encompassing
1380
publications
was
conducted,
subsequently
narrowing
focus
to
87
recent
for
detailed
review.
research
endeavors
delineate
defining
characteristics
systems,
elucidate
their
principal
applications
preferred
platforms,
assess
level,
gauge
extent
innovation
in
both
hardware
software
development,
explore
contributions
Deep
Learning
data
fusion,
evaluate
consideration
quality,
examine
contemporary
relevance
photogrammetry
within
context.
The
findings
demonstrate
that
many
authors
subjectively
use
term
highlight
qualities
technology,
methodology
or
sensor,
but
challenges
arise
from
quality
comparisons
with
high-cost
systems.
Results in Engineering,
Год журнала:
2023,
Номер
21, С. 101678 - 101678
Опубликована: Дек. 15, 2023
This
paper
discusses
the
development
of
an
automated
guided
vehicle
(AGV)
model
equipped
with
a
navigation
system.
The
AGV
employs
computer
vision
and
fuzzy
logic
control
for
lane-keeping
assist
system
as
steering
control.
inputs
used
in
are
path
line
gradient
values
left
right
lanes.
uses
camera
high
level
light
sensitivity.
A
intensity
that
is
too
dim
or
bright
will
affect
performance,
meaning
certain
range
performance
assist.
lanes
built
to
test
based
on
vision.
result
shows
optimal
developed
assists
from
110
150
lux.
can
successfully
follow
under
these
intensities
although
deviation
still
occurs.
Results in Engineering,
Год журнала:
2024,
Номер
22, С. 102120 - 102120
Опубликована: Апрель 12, 2024
This
article
delves
into
the
intricate
world
of
controlling
longitudinal
dynamics
autonomous
vehicles.
In
first
part,
we
studied
two
distinct
controllers:
Super
Twisting
Sliding
Mode
Control
and
its
modified
version
enriched
with
integration
fuzzy
logic,
applied
to
automobile
follow
a
desired
speed
profile,
controllers
are
compared
Neural
Network-Based
Non-singular
Terminal
Sliding-Mode
Control,
system
takes
throttle
brake
as
inputs
delivers
acceleration
outputs.
The
overarching
objective
is
ensure
that
controlled
vehicle
maintains
close
precise
alignment
profile.
second
part
our
research
dedicated
development
adaptive
cruise
control
systems
according
safety
conditions.
controller
consists
blocks
low
upper
controller,
in
speeds
front
itself,
distance,
measured
distance.
output
acceleration.
maintain
distance
between
vehicles,
greater
than
or
equal
For
this,
achieve
this
task,
have
implemented
known
Proportional
Integral
Derivative
(PID)
system.
block,
same
used
part:
based
on
applied,
brake,
outputs
processed
by
MATLAB
code,
obtained
better
result
proposed
such
maximum
absolute
error
0.0144
m/s
case
tracking,
0.006
using
control,
illustrations
below
show
efficiency
robustness
these
controllers.
Applied Sciences,
Год журнала:
2025,
Номер
15(6), С. 2917 - 2917
Опубликована: Март 7, 2025
This
paper
presents
an
algorithm
for
3D
path-following
using
articulated
6-Degree-of-Freedom
(DoF)
robot
as
well
experimental
verification
of
the
proposed
approach.
research
extends
classic
line-following
concept,
typically
applied
in
2D
spaces,
into
a
space.
is
achieved
by
equipping
standard
industrial
with
path
detection
tool
featuring
six
low-cost
Time-of-Flight
(ToF)
sensors.
The
primary
objective
to
enable
follow
physically
existing
defined
developed
allows
step-by-step
path’s
orientation
and
calculation
consecutive
positions
orientations
that
are
necessary
arm
path.
Experimental
tests
conducted
Nachi
MZ04D
demonstrated
reliability
effectiveness
solution.
ABSTRACT
Object
detection
is
a
critical
aspect
of
computer
vision
(CV)
applications,
especially
within
autonomous
driving
systems
(AVs),
where
it
fundamental
to
ensuring
safety
and
reducing
traffic
accidents.
Recent
advancements
in
computational
resources
have
enabled
the
widespread
adoption
Deep
Learning
(DL)
techniques,
significantly
enhancing
efficiency
accuracy
object
tasks.
However,
technology
for
has
yet
reach
level
maturity
that
guarantees
consistent
performance,
reliability,
safety,
with
several
challenges
remaining
unresolved.
This
study
specifically
focuses
on
2D
image‐based
methods,
which
offer
advantages
over
other
modalities,
such
as
cost‐effectiveness
ability
capture
visual
features
like
colour
texture
are
not
detectable
by
LiDAR.
We
provide
comprehensive
survey
DL‐based
strategies
detecting
vehicles
pedestrians
using
images,
analysing
both
one‐stage
two‐stage
frameworks.
Additionally,
we
review
most
commonly
used
publicly
available
datasets
research
highlight
their
relevance
The
paper
concludes
discussing
current
this
domain
proposing
potential
future
directions,
aiming
bridge
gap
between
capabilities
models
requirements
real‐world
applications.
Comparative
tables
included
facilitate
clear
understanding
different
approaches
datasets.
