Situational awareness involves the timely acquisition of knowledge about  real-world events, distillation of those events into higher-level  conceptual constructs, and their synthesis into a coherent  context-sensitive view. We explore how convergent trends in video  sensing, crowd sourcing and edge computing can be harnessed to create a  shared real-time information system for situational awareness in  vehicular systems that span driverless and drivered vehicles.

Satyanarayanan, M.
Proceedings of the 23rd IEEE International Symposium on Local and Metropolitan Area Networks (LANMAN 2017), Osaka, Japan, June 2017