Modern vehicles, even those without self-driving technology, are making increasing use of artificial intelligence. It’s playing a critical role in increasing fuel economy, providing active safety systems, advancing navigation, and adding various driver-assistance tools that build up towards full self-driving capability. But integrating all the physical and software technologies needed for these systems is a complex task.
At the heart of this challenge is the cost of failure – human life. The recent fatal accident involving Tesla’s “autopilot” system serves as a tragic reminder of this.
Car manufacturers have traditionally had to prove the safety of their vehicles through road tests on dedicated testing tracks, as well as a series of assessments to show risks are at an acceptable level.
Capture and communication of personal data is another feature of modern cars. And storing details of everything from journey routes to driver behaviour adds to the growing privacy concerns about how much data on us companies collect.
This problem is made worse by the issue of how secure this data is. A key element of driverless technology is the car’s ability to communicate with other systems around it. This opens a channel through which hackers could not only steal data but even take control of the car.