SAE Automated and Connected Vehicle Systems Testing Symposium

Why you should attend:

• Hear and discuss the latest research and development in automotive electronics, ITS, telematics, ADAS, sensors, actuators, radar, connectivity, systems engineering, cybersecurity, infrastructure as it relates to automated and connected vehicles.
• Gain a more complete understanding of the complexity of engendered engineering verification and validation.
• Share and gain insights into new paradigms and reference architectures and consensus-benchmarks with complex computational models and fielded experimental deployments.
• Highlight the benefits of modularity, interoperability and the role of open-architectures, open-interfaces and open-standards that has significantly shortened the market penetration (including potentially the benefit of roadmaps from the computer & electronics hardware and software industry).
• Meet with standards developers and government officials to learn about the latest system requirements both from a regulatory and OE perspective.
   

Who should attend:

• Engineering Professionals
• Research & Development
• Systems Developers
• Scientists
• Decision-makers…

…from a wide array of disciplines and industries that contribute to the realization of the fully evolved Connected and Automated Vehicle future.

• Active- and semi-active connected and automated vehicle control (adaptive, fuzzy, cooperative, neuro, emergent paradigms)
• Hybrid simulation- and empirical-testing paradigms (model-in-the-loop, hardware-in-the-loop)

 Human-in-the-loop Element

• Active vehicle safety architectures (occupant, pedestrian)
• Human machine Interaction design (driver- and controller-interfaces)
• Varying grades of driver-assistance systems
• Psycho-social facets of shared control (trust, variability)

 Subsystem and System Engineering Frameworks

• Automated Guided Vehicles (AGVs)
• Multi-vehicle cooperation, connected vehicles, platooning
• Platooning and fleet management
• Reproducible testing and validation architectures and paradigms
• Noise, network failure, faults, reliability analysis
• Application use cases (warehousing, x-docking, mining, agriculture, military)

Technologies

• Active perception architectures and implementations (radar, vision, lidar) for CAVs
• Sensors, sensor fusion (infrastructure and vehicle-based) for CAVs
• Vehicle design, analysis, and control enhancements for CAVs
• Electrification/vehicle electronics architectures and implementations for CAVs
• Communication architectures and implementations (V2x) for CAVs
• Real-time computational paradigms and architectures (AI, model-based) for CAVs
• Novel actuation paradigms (structural control, reconfigurable systems) for CAVs

Cyber-enabled System Capabilities

• Big data analysis, cloud computing architectures
• Vehicle navigation and situational awareness
• Fault detection and diagnosis, fault tolerant control
• Cybersecurity and cyber-enhanced security

Alert—Room Reservations

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Message to Attendees

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