Artificial Intelligence Methods in In-Cabin Use Cases: A Survey
This survey identifies and categorizes existing AI applications for in-cabin safety and comfort, providing a structured overview for researchers and developers in autonomous driving.
This paper surveys existing work that applies AI methods to in-cabin use cases in autonomous vehicles, specifically focusing on applications related to driving safety and comfort. The survey concludes that AI technology holds significant promise for addressing in-cabin tasks within the context of autonomous driving.
As interest in autonomous driving increases, efforts are being made to meet requirements for the high-level automation of vehicles. In this context, the functionality inside the vehicle cabin plays a key role in ensuring a safe and pleasant journey for driver and passenger alike. At the same time, recent advances in the field of artificial intelligence (AI) have enabled a whole range of new applications and assistance systems to solve automated problems in the vehicle cabin. This paper presents a thorough survey on existing work that utilizes AI methods for use-cases inside the driving cabin, focusing, in particular, on application scenarios related to (1) driving safety and (2) driving comfort. Results from the surveyed works show that AI technology has a promising future in tackling in-cabin tasks within the autonomous driving aspect.