Trustworthy Foundation for CAVs in an Uncertain World: From Wireless Networking, Sensing, and Control to Software-Defined Infrastructure

Three basic enablers for connected and automated vehicles (CAVs) are wireless networking, sensing, and control. Tightly coupled with the physical process of wireless signal propagation, vehicle movement, and environment, however, CAV wireless networking, sensing, and control are subject to complex cyber-physical uncertainties. To address the challenges, we propose an integrated, cross-layer framework for taming cyber-physical uncertainties, within which we develop novel algorithms and methodologies for addressing the interdependencies between networking, sensing, control, and physical processes. To enable high-fidelity evaluation and thus the deployment and adoption of new CAV technologies, we develop a software-defined CAV infrastructure for conducting CAV experiments using vehicles in real-world traffic so that properties of V2X communication, vehicles, traffic, road, and environment are captured at high-fidelity.