Sure, big ideas might begin on the back of a napkin, but if they're to become a reality, they must be put to paper. Here you can see the many culminations of our efforts on self-driving research.
Validation & testing
An Automatic Driving System (ADS) is a technology that enables a vehicle to drive itself without any human intervention. This technology has been in development for several years and is expected to revolutionize the transportation industry. It is an exciting development that has the potential to increase safety, reduce costs, and reduce traffic congestion.
To ensure that an
ADS is safe and reliable, there are several steps involved in its
development. The first step is verification. This is the process of
confirming that the system works as expected and meets all the
requirements for the intended use. Verification may involve the
use of simulation models, mathematical models, and other
methods to ensure that the system is functioning as
The next step is
validation. Validation is the process of testing the system in
real-world conditions to ensure that it performs as expected. This
may involve testing in a variety of conditions such as extreme
weather, different types of terrain, and different types of
interaction with other traffic participants
to make sure that the system performs under a variety of
most critical property to testing is safety. Safety testing
is the process of ensuring that the system is safe for use
at least at the same level as human-driven vehicles are safe. To
achieve a human-like level of safety, we explore ways to combine
simulation-based testing with on-road testing.
Professor of Software Engineering, Validation & Testing Team Lead