Crosato, L., Tian, K., Shum, H. P.H., Ho, E. S.L. , Wang, Y. and Wei, C. (2024) Social interaction-aware dynamical models and decision making for autonomous vehicles. Advanced Intelligent Systems, (doi: 10.1002/aisy.202300575) (Early Online Publication)
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Abstract
Interaction-aware autonomous driving (IAAD) is a rapidly growing field of research that focuses on the development of autonomous vehicles (AVs) that are capable of interacting safely and efficiently with human road users. This is a challenging task, as it requires the AV to be able to understand and predict the behaviour of human road users. In this literature review, the current state of IAAD research is surveyed. Commencing with an examination of terminology, attention is drawn to challenges and existing models employed for modeling the behaviour of drivers and pedestrians. Next, a comprehensive review is conducted on various techniques proposed for interaction modeling, encompassing cognitive methods, machine-learning approaches, and game-theoretic methods. The conclusion is reached through a discussion of potential advantages and risks associated with IAAD, along with the illumination of pivotal research inquiries necessitating future exploration.
| Item Type: | Articles |
|---|---|
| Additional Information: | This project is supported in part by the EPSRC NorthFutures project (ref: EP/X031012/1) and the European Regional Development Fund. |
| Keywords: | Interaction-aware autonomous driving, behavioural models, socially-aware decision making, multi-agent interactions, pedestrians. |
| Status: | Early Online Publication |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Ho, Dr Edmond S. L |
| Authors: | Crosato, L., Tian, K., Shum, H. P.H., Ho, E. S.L., Wang, Y., and Wei, C. |
| College/School: | College of Science and Engineering > School of Computing Science |
| Journal Name: | Advanced Intelligent Systems |
| Publisher: | Wiley |
| ISSN: | 2640-4567 |
| ISSN (Online): | 2640-4567 |
| Published Online: | 01 December 2023 |
| Copyright Holders: | Copyright © 2023 The Authors |
| First Published: | First published in Advanced Intelligent Systems 2024 |
| Publisher Policy: | Reproduced under a Creative Commons licence |
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