A comprehensive review of embedded systems in autonomous vehicles: Trends, challenges, and future directions
Sedat Sonko,
Emmanuel Augustine Etukudoh,
Kenneth Ifeanyi Ibekwe
и другие.
World Journal of Advanced Research and Reviews,
Год журнала:
2024,
Номер
21(1), С. 2009 - 2020
Опубликована: Янв. 25, 2024
The
integration
of
embedded
systems
in
autonomous
vehicles
represents
a
transformative
paradigm
shift
the
automotive
industry,
offering
unprecedented
opportunities
for
enhanced
safety,
efficiency,
and
user
experience.
This
comprehensive
review
explores
current
landscape
vehicles,
delving
into
emerging
trends,
persistent
challenges,
future
directions
that
shape
trajectory
this
rapidly
evolving
field.
begins
by
examining
foundational
concepts
context
elucidating
intricate
interplay
between
hardware
software
components.
It
surveys
state-of-the-art
technologies
empower
these
systems,
including
advanced
sensors,
actuators,
communication
protocols,
highlighting
their
pivotal
roles
perception,
decision-making,
control
aspects
driving.
One
prominent
trends
discussed
is
increasing
reliance
on
artificial
intelligence
(AI)
machine
learning
algorithms
within
systems.
incorporation
intelligent
enables
to
adapt
learn
from
real-world
scenarios,
enhancing
ability
navigate
diverse
dynamic
environments.
Additionally,
sheds
light
growing
emphasis
connectivity
edge
computing,
illustrating
how
leverage
facilitate
seamless
surrounding
infrastructure.
Despite
promising
advancements,
critically
examines
challenges
impede
widespread
adoption
vehicles.
Issues
such
as
safety
concerns,
cybersecurity
threats,
regulatory
frameworks
are
analyzed,
providing
insights
complex
ecosystem
which
operate.
In
addressing
envisions
marked
continuous
innovation
collaboration
across
industries.
anticipates
evolution
towards
more
robust,
adaptive,
fault-tolerant
architectures,
paving
way
increased
autonomy
deployment
provides
holistic
understanding
encapsulating
directions.
As
undergoes
shift,
serves
valuable
resource
researchers,
practitioners,
policymakers
seeking
terrain
vehicle
technology.
Язык: Английский
A Systematic Review of Geographic Information Systems (GIS) in Agriculture for Evidence-Based Decision Making and Sustainability
Global Sustainability Research,
Год журнала:
2024,
Номер
3(1), С. 1 - 24
Опубликована: Янв. 7, 2024
The
aim
of
this
study
was
to
consolidate
current
information
on
the
utilization
Geographic
Information
Systems
(GIS)
and
Remote
Sensing
(RS)
in
agricultural
sector,
with
a
focus
their
role
promoting
evidence-based
policies
practices
enhance
sustainability.
Additionally,
review
sought
identify
challenges
hindering
widespread
adoption
GIS
RS
applications,
particularly
low-
middle-income
nations.
This
employed
methodology
systematic
literature
review.
findings
indicate
that
technology
sector
has
experienced
notable
increase
over
past
few
years.
primary
areas
use
for
have
been
identified
encompass
crop
yield
estimation,
assessment
soil
fertility,
monitoring
cropping
patterns,
evaluation
drought
conditions,
detection
management
pests
diseases,
implementation
precision
agriculture
techniques,
fertilizer
weed
control.
possesses
capacity
augment
sustainability
by
incorporating
spatial
aspect
into
policies.
Furthermore,
potential
facilitating
decision
making
is
expanding.
Given
escalating
peril
climate
change
food
security,
there
exists
heightened
imperative
include
policy
formulation
decision-making
processes
practices.
might
be
beneficial
informing
development
effectively
integrate
sustainable
climate-smart
agriculture.
Язык: Английский
Artificial intelligence and machine learning applications in forest management and biodiversity conservation
Natural Resources Conservation and Research,
Год журнала:
2023,
Номер
6(2), С. 3825 - 3825
Опубликована: Дек. 25, 2023
The
recent
progress
in
data
science,
along
with
the
transformation
digital
and
satellite
technology,
has
enhanced
capacity
for
artificial
intelligence
(AI)
applications
forestry
wildlife
domains.
Nevertheless,
swift
proliferation
of
developmental
projects,
agricultural,
urban
areas
pose
a
significant
threat
to
biodiversity
on
global
scale.
Hence,
integration
emerging
technologies
such
as
AI
fields
forests
might
facilitate
efficient
surveillance,
administration,
preservation
forest
resources.
objective
this
paper
is
present
comprehensive
review
how
machine
learning
(ML)
algorithms
are
utilized
sector
conservation
worldwide.
Furthermore,
research
examines
difficulties
encountered
while
implementing
technology
biodiversity.
Enhancing
availability
extensive
pertaining
biodiversity,
utilization
cloud
computing
can
wider
acceptance
implementation
technology.
findings
study
would
inspire
officials,
scientists,
researchers,
conservationists
investigate
potential
purposes
management
conservation.
Язык: Английский
Context-Aware Prediction with Secure and Lightweight Cognitive Decision Model in Smart Cities
Cognitive Computation,
Год журнала:
2025,
Номер
17(1)
Опубликована: Янв. 15, 2025
Язык: Английский
Application of Artificial Intelligence in Mobile Communication Networks: A Revolutionary Impact on Network Optimization
Smart innovation, systems and technologies,
Год журнала:
2025,
Номер
unknown, С. 333 - 344
Опубликована: Янв. 1, 2025
Язык: Английский
A Reconfigurable E-Patch Micrtostrip Antenna for 6G Applications
International Journal of Innovative Technology and Exploring Engineering,
Год журнала:
2025,
Номер
14(4), С. 8 - 13
Опубликована: Март 25, 2025
This
paper
presents
the
design
of
a
novel
reconfigurable
E-patch
microstrip
antenna
that
can
operate
on
6G
technology.
is
simulated
using
HFSS
simulation
software.
The
designed
2
mm
x
1.4
Roger
RT/duroid
5880
(tm)
substrate
fed
by
line.
S11
and
VSWR
show
work
at
118
GHz
which
considered
frequency.
offers
high
gain,
low
profile,
efficiency,
making
it
suitable
for
future
applications
in
also
made
to
be
through
combination
PIN
diode
slot
techniques,
allowing
dynamic
frequency
tuning.
results
prove
range
between
110
182
GHz.
Язык: Английский
AI-driven innovations in 6G networks: A strategic management perspective
Advances in computers,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 1, 2025
Язык: Английский
6G Technologies
J. Rajeshkumar,
M. Gokuldhev,
M. Therasa
и другие.
IGI Global eBooks,
Год журнала:
2025,
Номер
unknown, С. 181 - 200
Опубликована: Апрель 11, 2025
The
advent
of
6G
technology
can
play
a
significant
role
in
smart
cities
by
providing
incredibly
high
data
rates,
extremely
low
latency,
and
abundant
IoT
connection
which
will
transform
the
into
smarter,
safer,
sustainable
cities.
This
chapter
discusses
benefits
adopting
such
as
increased
network
connection,
real-time
analysis,
accurate
sensing.
It
also
issues
like
costs
related
to
infrastructure,
regulatory
standardization
issues,
about
vital
information
privacy
security
densely
connected
city
environments.
Collectively,
this
study
emphasizes
significance
interconnectivity
between
creators,
administrators,
policymakers
so
optimize
resolve
key
regarding
its
implementation.
outcomes
represent
core
knowledge
inform
policymaking
designing
progressive
robust
empowered
enhanced
wireless
connectivity.
Язык: Английский
6G optical-RF wireless integration: a review on heterogeneous cellular network channel modeling, measurements, and challenges
Telecommunication Systems,
Год журнала:
2024,
Номер
unknown
Опубликована: Сен. 30, 2024
Язык: Английский
Artificial Intelligence-Based Sustainable Tourism Planning
Advances in hospitality, tourism and the services industry (AHTSI) book series,
Год журнала:
2024,
Номер
unknown, С. 65 - 94
Опубликована: Ноя. 27, 2024
This
book
chapter
introduces
a
groundbreaking
conceptual
model
aimed
at
revolutionizing
sustainable
tourism
planning
through
the
incorporation
of
artificial
intelligence
(AI).
As
society
grapples
with
pressing
environmental
challenges,
pivotal
role
technology
becomes
increasingly
evident.
In
response,
this
seamlessly
integrates
AI
to
offer
sophisticated
framework
that
optimizes
resource
allocation,
mitigates
ecological
impact,
and
elevates
overall
visitor
experiences
within
realm
tourism.
The
core
objective
innovative
is
leverage
AI's
capabilities
in
analysis
extensive
datasets,
enabling
data-driven
decision-making
processes
crucial
for
formulation
efficient
strategies
destination
management.
By
harnessing
immense
computing
power
AI,
strives
facilitate
proactive
informed
decision-making,
ensuring
more
approach
planning.
Язык: Английский