Proposes fog computing architecture with edge twins, ML forecasters for vehicle locations, and a box algorithm for hazard maps to assist autonomous driving, evaluated via simulations on real highway traces.
A programming language and system for heterogeneous cloud of things,
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A Fog Computing Framework for Autonomous Driving Assist: Architecture, Experiments, and Challenges
Proposes fog computing architecture with edge twins, ML forecasters for vehicle locations, and a box algorithm for hazard maps to assist autonomous driving, evaluated via simulations on real highway traces.