Sensors,
Journal Year:
2025,
Volume and Issue:
25(8), P. 2528 - 2528
Published: April 17, 2025
Vibration-based
bridge
modal
identification
is
a
crucial
tool
in
monitoring
and
managing
transportation
infrastructure.
Traditionally,
this
entails
deploying
fixed
array
of
sensors
to
measure
responses
such
as
accelerations,
determine
dynamic
characteristics,
subsequently
infer
conditions
that
will
facilitate
prognosis
decision-making.
However,
paradigm
not
scalable,
possesses
limited
spatial
resolution,
typically
high
effort
cost.
Recently,
mobile
sensing-based
paradigms
have
demonstrated
promise
laboratory
field
settings
an
alternative.
These
methods
can
leverage
big
data
from
crowdsourcing
vibration
acquired
smartphone
devices
belonging
pedestrians
passengers
traveling
over
bridge,
constituting
significantly
large
stream
indirectly
sensed
response.
Although
the
efficacy
has
been
for
set
case
studies,
ubiquitous
implementation
requires
analyzing
impact
vehicle
dynamics
quantifying
sources
be
used
purpose
identification.
This
paper
presents
road
map
achieving
through
dynamically
diverse
datastreams
passenger
cars,
buses,
bikes,
scooters.
Existing
point
towards
crowdsourced
sensing
urban
settings,
which
would
effective
decision-making
enhanced
infrastructure
resilience.
Mechanical Systems and Signal Processing,
Journal Year:
2024,
Volume and Issue:
210, P. 111148 - 111148
Published: Jan. 25, 2024
Environmental
conditions
such
as
wind
and
ground
traffic
introduce
motion
in
camera
measurement
systems
affect
accuracy.
Conventional
correction
methods
track
static
reference
points
with
one
or
multiple
cameras,
reducing
applicability.
This
study
proposes
a
novel
6-degree-of-freedom
(DOF)
method
using
only
an
inertial
unit
(IMU)
sensor.
A
Kalman
filter
is
adopted
data
fusion
to
estimate
the
orientation
translation
IMU
data.
Six
pinhole
models
are
built
evaluate
correct
6-DOF
motions.
The
efficiency
robustness
tested
for
different
object
distances
focal
lengths
of
optical
lenses.
ratio
statistically
analysed
reaches
approximately
80%.
distance
has
little
effect
on
ratio.
rotation-induced
pixel
movement
independent
distance.
More
than
90%
noise
caused
by
rotation.
translation-induced
inversely
correlated
Automation in Construction,
Journal Year:
2024,
Volume and Issue:
163, P. 105418 - 105418
Published: April 15, 2024
Tertiary
studies
are
conducted
to
offer
a
comprehensive
perspective
on
subject
by
compiling
secondary
literature
at
meta-level.
This
study
appraises
in
computer
vision
applications
for
infrastructure
management
using
drone-captured
imagery
investigate
different
dimensions,
trends
and
quality
of
studies.
tertiary
uses
three
databases
select
published
from
2018
2023.
A
total
57
analyzed.
Various
demographic
temporal
patterns
examined
assessing
the
prevalence
concerning
year
publication,
publishing
platforms,
nature
synthesis
carried
out.
The
is
evaluated
Database
Abstracts
Reviews
Effects
(DARE)
criteria.
thematic
analysis
identifies
six
major
application
areas
management,
with
miscellaneous
categorized
separately.
findings
overview
technological
advancements,
challenges,
potential
drone
imagery.
