Intelligent in-vehicle interaction technologies

Murali, P. K. , Kaboli, M. and Dahiya, R. (2022) Intelligent in-vehicle interaction technologies. Advanced Intelligent Systems, 4(2), 2100122. (doi: 10.1002/aisy.202100122)

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With rapid advances in the field of autonomous vehicles (AVs), the ways in which human–vehicle interaction (HVI) will take place inside the vehicle have attracted major interest and, as a result, intelligent interiors are being explored to improve the user experience, acceptance, and trust. This is also fueled by parallel research in areas such as perception and control of robots, safe human–robot interaction, wearable systems, and the underpinning flexible/printed electronics technologies. Some of these are being routed to AVs. Growing number of network of sensors are being integrated into the vehicles for multimodal interaction to draw correct inferences of the communicative cues from the user and to vary the interaction dynamics depending on the cognitive state of the user and contextual driving scenario. In response to this growing trend, this timely article presents a comprehensive review of the technologies that are being used or developed to perceive user's intentions for natural and intuitive in-vehicle interaction. The challenges that are needed to be overcome to attain truly interactive AVs and their potential solutions are discussed along with various new avenues for future research.

Item Type:Articles
Additional Information:This work was supported in part by the European Commission via iNavigate (Grant agreement ID: 873178), SmartNets (Grant agreement ID: 860949), and Intuitive (Grant agreement ID: 861166).
Glasgow Author(s) Enlighten ID:Dahiya, Professor Ravinder and Murali, Prajval Kumar
Authors: Murali, P. K., Kaboli, M., and Dahiya, R.
College/School:College of Science and Engineering
College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering
Journal Name:Advanced Intelligent Systems
ISSN (Online):2640-4567
Published Online:03 October 2021
Copyright Holders:Copyright © 2021 The Authors
First Published:First published in Advanced Intelligent Systems 4(2): 2100122
Publisher Policy:Reproduced under a Creative Commons License

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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
306720INnovative Network for Training in ToUch InteracTIVE InterfacesRavinder DahiyaEuropean Commission (EC)861166ENG - Electronics & Nanoscale Engineering