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Welcome to CANVAS

Connected and Autonomous Networked Vehicles for Active Safety

Imagine a transportation system in which vehicles can assess the wellbeing of their occupants; communicate with one another, their environment, and the infrastructure; and make real-time decisions based upon this data.

In this integrated system, autonomous and connected vehicles could sense and warn others of conditions ahead, and roadways could alert vehicles to hazardous conditions.

Traffic problems could be communicated to a central control where signals could be modified to address current conditions in real time and autonomous vehicles could be rerouted to avoid backups.

In this landscape, robust data becomes available for traffic planners, and vehicle throughput can be optimized.

By utilizing the entire canvas of sensing, networking, machine- and deep-learning, communication, security, privacy, mobility and transportation services, traffic modeling and infrastructure planning, CANVAS can create a clear picture of the interwoven systems affecting vehicles, their passengers, and the entire transportation system.

Graphic showing the sensing, networking and mobility system. CANVAS Architecture - Sensing: Internal / Human Sensing and External Sensing electromagnetics, visual, LiDAR = Learning Awareness & Fusion "Canvas Brain"; Networking: X2X communication & networking with vehicle to vehicle, vehicle to infrastructure and human to human = security & privacy; Mobility: Non-realtime of transportation planning, traffic modeling, mobility services and Realtime with navigation & traffic prediction = Data of maps, signs, traffic, transportation & mobility services, weather, road conditions, adds etc.

Sensing, networking, and mobility research are drawn together in CANVAS, blending active safety, security and privacy, and mobile/transportation services for connected and autonomous vehicles—and their passengers.