Page 36 - Preliminary Analysis Towards a Standardized Readiness Framework - Interim Report

Preliminary Analysis Towards a Standardized Readiness Framework

(continued)

Examples Potential AI impacts
Characteristics
1. Alternatives for technology
2. Stepwise scenario. E.g. exchange of information between various
actors.
3. Inter-PLMN mobility for connected and automated mobility of
enterprise vehicles.
4. Connected vehicles with competing standards such as DSRC [47]
and IEEE 802.11p [42].
5. MQTT (message queuing telemetry transport) [56]
Standards and 6. Data formats between different government data portals [49], [50]
Interoperability 7. Coordination of satellite data and orbits [51]
8. Combination of camera and satellite data formats [51]
9. Ad hoc network protocols for coordination between drones from
different vendors/providers [52]
10. Protocols and interfaces for multiagent systems and transfer learn-
ing approaches for models trained using different ML frameworks
[52]
11. generalization formats across a diverse variety of disaster scenar-
ios [52].

1. Awareness and training
2. Trust and security
3. Driver certification with awareness of the technology and usage of
the technology.
4. Upgrade of training for both drivers and pedestrians.
5. Adoption level including consent to provide data.
Human factors, trust, 6. Human feedback, surveys, training, and simulations.
interoperability, and 7. Supervision and oversight.
standards
8. Usability of visualization apps, websites, and mobile apps for advi-
sories.
9. Involvement of local communities, taking into account traditional
knowledge from communities [51]
10. Local accent handling e.g. Khmer ASR (speech engine), TTS (fast
speech), a chatbot (sentenceBERT for finetuning), for accent
handling [2].

28