Industries / Automotive

Automotive Data

Modern vehicles produce vast amounts of automotive sensor data. Automakers and third party services use this data to improve safety and add convenient features. Cars now support advanced driver assistance, can optimise battery charge to maximise range and can notify drivers who are tired or risk falling asleep. Moreover, they can respond to their owners’ voice commands or facial expressions. Some can even measure the point of gaze for both drivers and passengers. These groundbreaking technologies rely on using sensitive personal data that belongs to the vehicle owners, passengers, and even pedestrians on the streets.

Some regulators, such as the European Data Protection Board (EDPB), have already published guidelines on processing personal data in the context of connected vehicles and mobility-related applications. The guidelines address the collection and processing of sensitive data, such as geolocation data, biometric data and traffic offence-related data. Such data is both privacy sensitive and can impact the rights and interests of data subjects. The guidelines also emphasise the importance of privacy by design and privacy by default to technologies in the automotive context. Extensive use of personal data raises privacy concerns that automakers must address to comply with data protection regulations.

Case Studies

Learn how the automotive industry is affected by this challenge and what manufacturers and their suppliers can do about it.