Cooperative Automated Vehicles: a Review of Opportunities and Challenges in Socially Intelligent Vehicles Beyond Networking

Abstract

The connected automated vehicle has been often touted as a technology that will become pervasive in society in the near future. One can view an automated vehicle as having Artificial Intelligence (AI) capabilities, being able to self-drive, sense its surroundings, recognise objects in its vicinity, and perform reasoning and decision-making. Rather than being stand alone, we examine the need for automated vehicles to cooperate and interact within their socio-cyber-physical environments, including the problems cooperation will solve, but also the issues and challenges. We review current work in cooperation for automated vehicles, based on selected examples from the literature. We conclude noting the need for the ability to behave cooperatively as a form of social-AI capability for automated vehicles, beyond sensing the immediate environment and beyond the underlying networking technology.

10 pages, Accepted for the IEEE Trans. on Intelligent Vehicles (to appear)

References in corpus (4)

• On a Formal Model of Safe and Scalable Self-driving Cars
• Implementation and Evaluation of a Cooperative Vehicle-to-Pedestrian Safety Application
• Ethical Implications of Social Internet of Vehicles Systems
• LAAIR: A Layered Architecture for Autonomous Interactive Robots

Cited by in corpus (8)

• Milestones in Autonomous Driving and Intelligent Vehicles: Survey of Surveys
• Optimal Trajectory Planning for Connected and Automated Vehicles in Lane-free Traffic with Vehicle Nudging
• Decentralized Motion Planning for Multi-Robot Navigation using Deep Reinforcement Learning
• Secured and Cooperative Publish/Subscribe Scheme in Autonomous Vehicular Networks
• Designed to Cooperate: A Kant-Inspired Ethic of Machine-to-Machine Cooperation
• Metaverse for Safer Roadways: An Immersive Digital Twin Framework for Exploring Human-Autonomy Coexistence in Urban Transportation Systems
• ADOPT: A system for Alerting Drivers to Occluded Pedestrian Traffic
• Edge Computing Enabled by Unmanned Autonomous Vehicles