ADAS and AV technologies are going to disrupt the entire
transportation industry as we know it, with a profound impact on
human life. They promise to enhance human lives by providing a
safer and much more accessible transportation ecosystem to all of
society. But to deliver on all of its promises, they need to be at
least as good as a 'good' human driver. And therefore, they
need to be very safe and robust, having the ability to perform in a
variety of driving scenarios, and be very secure, being immune from
any external cyberattacks. Hence, such technologies need to be
tested very extensively. But from various studies, it has been
found that, to declare a full AV as good as a human driver, the AV
will be required to drive more than a billion miles on real roads,
taking tens and sometimes hundreds of years to drive those miles,
considering even the most aggressive testing assumptions. Every
small update to the AV will require another billion miles of
testing to be approved for real world use. And, the more advanced
the technology becomes, the more miles will need to de driven. Real
word testing plays a very crucial role in ADAS and AV development
and testing. But relying only on real world testing will
significantly slow down the development and testing of such
technologies. This is where simulation comes into play. Simulation
allows exposing various control algorithms and sensor models to a
range of complex driving scenarios in a virtual environment and
assess the results of vehicle performance w.r.t control development
and validation. This paper demonstrates the methodology followed to
perform simulation based V&V of an Automatic Emergency Braking
System, which promises to reduce crash severity or eliminate them
by automatically applying the brakes in emergency situations.