ADAS & Autonomous Vehicle Engineering - November 2023 - 12

Cover Story
Autonomous vehicle testing in simulation.
To create the kind of challenging edge cases Imagry's
Ofir - and others - are asking for, DeepScenario's technology
extracts motion data from standard videos to
build its virtual testing worlds. One thing the company is
doing differently is to access video feeds from stationary
cameras that show traffic flows. This gives DeepScenario
a significant amount of real-world data from a specific
type of intersection in a short time. During a recent
excursion in Los Angeles, California to capture information
from highway entries, DeepScenario's drones
captured 12,000 highway entries and exits in three hours
(Banzhaf said from a legal perspective, drones are easy
to fly in the U.S., but the company gathers information
in multiple countries). Armed with this kind of data,
DeepScenario can approach OEMs and Tier 1s with
potential solutions to exactly the cases where the driving
software has problems, through 'scenario mining.'
" If your system is not good at intersections, not
good at entries, at particular scenarios, we can really
quickly accelerate the databases for those locations, "
Banshaf said. " You're looking for something specific in
your data. You're looking for accidents, for almost-accidents,
and you want to get those scenarios - basically,
those 20-second snippets - and put them in
your database such that when you update the [AV
driving] software, you can test against it. "
The UK wants to know if your AV AI is
any good
In May 2023, the U.K. government opened funding
requests for feasibility studies into how connected and
12 November 2023
12 November 2023
automated-mobility technologies could function as
mass-transit solutions. Organized by the Centre for
Connected and Autonomous Vehicles (CCAV), the
funding competition attracted the attention of dozens
of companies, including rFpro. rFpro builds engineering-grade
simulation environments for automotive
and motorsport companies. In September, rFpro
announced it would be a partner in two consortium
projects funded by the CCAV to the tune of £4 million
($4.9 million).
The Sim4CAMSens project, which received a
£2-million ($2.4-million) grant, attempts to " enable
accurate representation of Automated Driving System
(ADS) sensors in simulation, " according to the official
documents. Or, in the words of rFpro's technical director,
Matt Daley, the mission is to answer " the eternal question:
when is a simulation good enough to use? And how far
can we trust that, " he said. " At what point should our
organizations actually expect the simulation to be able
to present this level of scientific results? "
Daley was speaking at September 2023's AutoSens
Brussels conference, where he told SAE Media that
rFpro will create new types of sensor models across
all modalities and cameras, lidar and radars for the
Sim4CAMSens project in order to improve the ability
of a virtual test to accurately gauge the competency of
automated-driving software.
rFpro is also involved in the DeepSafe project,
which received £2 million from CCAV and has an
official goal to " develop the simulation-based training
needed to train autonomous vehicles to handle 'edge
ADAS & AUTONOMOUS VEHICLE ENGINEERING
ADAS & AUTONOMOUS VEHICLE ENGINEERING
rFpro
ADAS & Autonomous Vehicle Engineering - November 2023

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