Data-driven perception and planning methodologies for autonomous vehicles
Accepting autonomous vehicles as a reliable and safe transportation service requires the realization of smooth and natural vehicle control. The plethora of driving data captured from modern cars is a key enabler for solving this problem. Our work on data-driven perception and planning systems for autonomous vehicles was recently presented at the AutoSens conference in Brussels.[1] In this article, we summarize the key points of this presentation with the purpose of highlighting the benefits and limitations of data-driven solutions for autonomous vehicles.
