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Uncertainty Quantification of Collaborative Detection for Self-Driving

Sharing information between connected and autonomous vehicles (CAVs) fundamentally improves the performance of collaborative object detection for self-driving. However, CAVs still have uncertainties on object detection due to practical challenges, …

Stable and Efficient Shapley Value-Based Reward Reallocation for Multi-Agent Reinforcement Learning of Autonomous Vehicles

With the development of sensing and communication technologies in networked cyber-physical systems (CPSs), multi-agent reinforcement learning (MARL)-based methodologies are integrated into the control process of physical systems and demonstrate …

DeResolver: A Decentralized Negotiation and Conflict Resolution Framework for Smart City Services

As various smart services are increasingly deployed in modern cities, many unexpected conflicts arise due to various physical world couplings. Existing solutions for conflict resolution often rely on centralized control to enforce predetermined and …

Exploiting Beneficial Information Sharing Among Autonomous Vehicles

As communication technologies develop, an autonomous vehicle will receive information not only from its own sensing system but also from infrastructures and other vehicles through communication. This paper discusses how to exploit a sequence of …

A Flexible Distributed Approach to Energy Management of an Isolated Microgrid

This paper studies an energy management problem for an isolated microgrid including photovoltaic panels, wind turbines, batteries and ultracapacitors. A normal form game is proposed for the energy management to maximize the energy utilization ratio …

Path Planning for Multi-robot Systems Using PSO and Critical Path Schedule Method