Page 32 - Preliminary Analysis Towards a Standardized Readiness Framework - Interim Report

Preliminary Analysis Towards a Standardized Readiness Framework

Appendix A – Detailed analysis of the use cases and AI impacts on

the use cases.

Table I – General use case analysis and AI impacts

Examples Potential AI impacts
Actors
1. Smart or autonomous vehicles. Sensors (e.g. Lidar, cameras,
radar), including passengers and drivers.
2. Commercial vehicles (e.g. delivery trucks).
3. Remote-controlled/driven vehicles.
4. edge data acquisition e.g. soil, leaf, and weather sensors,
Piezometer, and water level sensor.
5. Sensors with specific capabilities (e.g. night vision) and underwa-
ter capabilities (e.g. pH, O2, turbidity).
6. Pre-processing to enhance the image quality (e.g. Robotflow [55])
7. Data capture using drones (e.g. drone-mounted cameras), Drones
with object detection, and satellite-based coordination for rescue
edge actors.
operations. Drone-2-drone or drone-based station commu-
nication. Drones with limited batteries at the same time route
optimization algorithms to increase Area coverage [52].
8. IoT gateways [22], LoRa gateway
9. Open Data portals maintained and updated by government
actors. E.g. from [50] on early warnings and weather data.
10. Actors involved in Cross-border logistics e.g. transporters, insur-
ers, and government agencies [50].
11. Local communities and tribes [51]
12. Power utilities and companies [51]
13. Doctors, patients, medical history records [2]

1. AI-based resource allocation for low latency, higher throughput,
and edge intelligence
2. Private 5G networks. Managed/operated by enterprises
3. Protocols e.g. MQTT [56]
4. Transport protocols with error resilience such as TCP/IP
Deployment capabil- 5. Wifi
ity with Networks 6. LoRa
7. Roaming across countries and regions for seamless connectivity
[50]
8. Satellite networks [51] e.g. provide inputs on wildfire.
9. Ad hoc network design between drone clusters [52]
10. Mobile data network [2]

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