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

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 article 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 driving safety and driving comfort. Results from the surveyed works indicate that AI technology has a promising future in tackling in-cabin tasks within the autonomous driving aspect.

• Record URL:
  http://dx.doi.org/10.1109/MITS.2021.3050883
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/19391390
• Supplemental Notes:
  • Copyright © 2022, IEEE.
• Authors:
  • Rong, Yao
  • Han, Chao
  • Hellert, Christian
  • Loyal, Antje
  • Kasneci, Enkelejda
• Publication Date: 2022-6

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 132-145
• Serial:
  • IEEE Intelligent Transportation Systems Magazine
  • Volume: 14
  • Issue Number: 3
  • Publisher: Institute of Electrical and Electronics Engineers (IEEE)
  • ISSN: 1939-1390
  • Serial URL: http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=5117645

Subject/Index Terms

• TRT Terms: Artificial intelligence; Autonomous vehicles; Comfort; Monitoring; Vehicle interiors; Vehicle safety
• Subject Areas: Data and Information Technology; Highways; Safety and Human Factors; Vehicles and Equipment;

Filing Info

• Accession Number: 01847544
• Record Type: Publication
• Files: TRIS
• Created Date: May 31 2022 9:14AM