The development of assisted and automated driving technologies continues to advance at a rapid pace. Automated driving takes a number of forms, and thanks to extraordinary advancements in the automotive industry, several of them, including predictive cruise control, lane centering, and automated parking, are already within our grasp. However, to successfully navigate on the road of widespread adoption, there remain several obstacles that we need to overcome.
In a keynote presentation at this year’s Synopsys ARC Processor Virtual Summit 2021, Dr. Jürgen Bortolazzi, head of Advanced Driver Assistance Systems (ADAS) and Automated Driving at Porsche AG, said realizing the full potential of automated driving is largely a question of partnership.
To begin with, automotive manufacturers still need to establish full alignment with legal authorities on the technology’s implementation. At the same time, there is the need for extensive cooperation between carmakers themselves, as well as strategic collaboration with a wide range of specialists in fields such as data, hardware, software, and artificial intelligence (AI). Volkswagen Group, which owns Porsche among brands including Audi, Bentley, and Lamborghini, is already relatively advanced on its automation journey. Even if at first glance, automation doesn’t appear to sit naturally with what are known to be “drivers’ cars” — cars that people buy largely for the enjoyment of their performance.
The thrill of the open road is one element of driving. But as Dr. Bortolazzi points out, “a lot of driving conditions are not fun” — such as traffic jams, searching for parking spaces, and then actually parking. German drivers spend an average of 41 hours each year looking for somewhere to park, while in New York the figure rises to an astonishing 107 hours! The Volkswagen Group’s efforts currently center on alleviating these stressors while preserving the excitement of driving. “Automated driving will accompany, not replace, the ability to manually drive a Porsche,” affirms Dr. Bortolazzi.
Read on to learn about the top five challenges for autonomous vehicles to achieve higher levels of automated mobility and the need for enhanced design methodologies to deploy Level 3 and 4 automated systems.