AI fuels self-driving cars
AI plays an important role in the context of Advanced Driver-Assistance Systems and
Autonomous Driving (ADAS / AD). Among other important challenges, we need to teach the
virtual driver to see and understand what happens around the vehicle – the perception
problem . Informed by the perception system, the planning system determines the car’s next
steps such as accelerate, slow down, go straight, make a turn, … .
Once the virtual driver is trained to behave like a human driver – or better – another major
challenge comes into play: How do we decide whether the virtual driver gets a driver’s license? –
the validation problem .
In his talk, Lars will demonstrate use cases in the context of self-driving cars and how they are
Lars serves as Vice President Engineering at Unterstand.ai. The mission of Understand.ai (UAI)
is to make AI accessible by enabling data scientists to get the right data at the right quality and
the right quantity. Understand.ai currently focuses on Advanced Driver-Assistance Systems and
Autonomous Driving (ADAS/AD).
Coming from a background as a software engineer in medical robotics, Lars held multiple roles
as coder, technical project manager, consultant, team lead, CTO and Vice President
Engineering in different industries over the past 20 years. He spent almost a decade
successfully running worldwide distributed engineering teams with up to 400+ people across
Asia, Europe and the US.
In January 2019, Lars joined Understand.ai to accelerate the impact, AI has on our society.