AI-Based Systems for Autonomous Vehicle Communication and Coordination
Keywords:
ADAS, A-VehiclesAbstract
The AI software discussed includes abstract control models of cooperative automated vehicles, hybrid AI techniques for traffic management, AI-enhanced vehicle communication, hybrid and cooperative wireless communication for vehicular networks, and networking technologies for cooperative intelligent transportation systems (C-ITS). The AI hardware includes AI-enhanced System-on-Chip (SoC) vehicle solutions, dynamic sensor reuse for advanced driver assistance systems (ADAS), hardware and field-programmable gate arrays for automotive end-to-end wireless communication, disruptive communication hardware technologies, ruggedized embedded and edge AI processors, roadside AI acceleration technologies, AI hardware virtualization, and sensor/actuator technologies for real-time mobility. The AI-enabled IoT technologies include convex-optimization with Bernoulli-distributed observed round trip time, parallel microsecond drive-by-wire protocols, AI-supported connectivity solutions for cooperative intelligent transportation systems, ultra-reliable and low-latency communication solutions, V2X-ML enhancement in IoT, 5G advanced radio access network enabling broadcasting, and vehicular sensor and actuator data processing.
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