Artificial Intelligence Methods in In-Cabin Use Cases: A Survey

• URL: http://arxiv.org/abs/2101.02082v1
• Date: Wed, 6 Jan 2021 15:08:39 GMT
• Title: Artificial Intelligence Methods in In-Cabin Use Cases: A Survey
• Authors: Yao Rong, Chao Han, Christian Hellert, Antje Loyal, Enkelejda Kasneci
• Abstract summary: The functionality inside the vehicle cabin plays a key role in ensuring a safe and pleasant journey for driver and passenger alike. 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. Results from the surveyed works show that AI technology has a promising future in tackling in-cabin tasks within the autonomous driving aspect.
• Score: 4.896568671169519
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: 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.

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