ADAS & Autonomous Vehicle Engineering - November 2023 - 14

Cover Story
dRISK incorporates
crash and incident data
from multiple sources, including
video data from " risky intersections "
and accident reports so it can create, " a map of
everything that can go wrong on the world's roads. "
use to test autonomous vehicles and ADAS vehicles that
are coming to our shores, " Jesudasan said. " Our counter
pitch to them was, 'No, you don't.' Everybody and their
mother is building a simulator. What you want is a mechanism
to understand what you should simulate in the
first place. What is actually relevant for you and how
can you actually go to the public with a certain degree
of assurance that yes, this vehicle is actually not going to
do terrible things on the road. "
Jesudasan said dRISK's data can help provide this
certainty because it is auditable and should help various
AV driving software builds to avoid the common
one-step-forward-two-steps-back phenomenon.
" AI gets very good at one particular phenomenon
- unprotected lefts, for example - but is absolutely
atrocious at other phenomena, like dealing with a
pedestrian running across the road while taking a
right, " he said. " That's because it has over-trained in
a certain space. With our tools, they can understand
the entire training landscape, understand where they
have gaps and be able to sort of systemically plug those
gaps, as opposed to putting wet fingers in the air and
wondering 'What should I investigate? "
RFpro's Daley told SAE Media at AutoSens that
the overall aim of DeepSafe is to develop and deliver
a synthetic, commercial data tool that can retrain AI
and ML models in areas where they're failing.
" Part of that is making sure that we're able to
collect far more levels of crash data, " he said " The
amount of physical vehicles we can physically crash
into other real, physical vehicles is extremely limited.
And we shouldn't be doing that because of the cost. "
The DeepSafe project will develop new methodologies
for taking real lidars, radars and cameras and
flying them at vehicles in as controlled a way as possible,
Daley said, thereby creating data for critical edge cases
to help with critical timing and decision-making.
Once the DeepSafe project is completed, the team
will take these results to the public so the key question
can be answered, Daley said. " When do you trust that this
[simulation] technology is good enough for you to use? "
Whether built by dRISK or Helm.AI or one of
many other providers or OEMs, simulated worlds
are getting the industry closer to highly-automated
vehicles. The truth remains that simulation still is just
not quite as real as, well, reality.
" If you could model the real world with the highest
complexity in the computer, that would be awesome, "
DeepScenario's Banzhaf said. " You wouldn't need to go
out. What currently prevents us is that the computation
time would be too high, so you need to simplify the real
world. Also, it's not just about how everything looks
realistic, it's how the cars move. "
The challenge continues. ■
14 November 2023
ADAS & AUTONOMOUS VEHICLE ENGINEERING
14 November 2023
ADAS & AUTONOMOUS VEHICLE ENGINEERING
dRISK
http://www.Helm.AI
ADAS & Autonomous Vehicle Engineering - November 2023

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