Published: Nov. 13, 2024
Automated
systems
are
becoming
widespread
in
many
fields,
e.g.
transportation,
exploration,
defence,
rescue,
etc.
These
need
to
build
a
comprehensive
and
robust
situational
awareness,
detailed
terms
of
spatial
temporal
resolution.
This
awareness
is
based
on
the
data
provided
by
suite
perception
sensors
(e.g.
camera,
LiDAR,
RADAR,
etc.).
Due
internal
external
noise
factors,
quality
sensor
can
be
heavily
compromised.
It
impossible
test
under
all
possible
environmental
conditions
safety
critical
cases.
To
tackle
testing
complexity
speed
up
procedures,
digital
twins
models
environments
needed
enable
accelerated
thorough
virtual
and/or
mixed
wide
variety
non-ideal
conditions.
In
order
use
virtual/mixed
properly
assess
system
performance
its
safety,
simulation-to-reality
gap
needs
reduced
as
much
possible,
using
high-fidelity
combination
with
validated
reproduce
accurately
that
real
would
produce.
work
discusses
development
validation
two
one
outdoor
indoor
facilities,
offering
rain
fog
emulation
site.
By
usage
high-resolution
geo-referenced
point
clouds
images
combined
photogrammetry
3D
modelling,
semi-automatic
reconstruction
material
creation
process
presented.
The
created
models,
collection
these
production
trustworthy
realistic
data.
turn,
this
allows
numerous
tests
executed
reliably.
hereby
described
have
been
developed
part
EU
Horizon
ROADVIEW
project∗
will
made
openly
available.
Language: Английский