Page 25 - Preliminary Analysis Towards a Standardized Readiness Framework - Interim Report

Preliminary Analysis Towards a Standardized Readiness Framework

optimal distance vehicles, proximity and distance sensors using ultrasound are applied. Due
to the strict requirements of latency and bandwidth, a 5G network is needed. Private 5G such
as campus networks managed and operated by the enterprise, may be used. Bluetooth might
be used for communications between each unit. To facilitate communication, standards such
as Dedicated Short-Range Communication (DSRC) and IEEE 802.11p are considered. Human
supervision is still needed to minimize the risks in deployment. In addition, roaming cases
across borders should be planned in advance [29].

4�1�12 Agriculture: Crop Monitoring and Planning

In this use case, all sensors are connected to IoT to collect temperature, moisture, crop
health, yield, minerals, soil health, and carbon level data. Based on the information from the
greenhouse station, camera, and weather station, the actuators controlled remotely such as
sprinklers could be used to manage irrigation and potentially crop planning mapping between
crop, fertilization, and pesticide usage. Storage security is an important consideration in this
use case. OneM2M [22] standard is applied in the use case.

4�1�13 Driving under Intoxication (DUI) Detection

Driving under intoxication has different standards in different countries, so it is essential to
obtain the test parameters and thresholds such as blood alcohol level accordingly for standard
field tests. In terms of in-vehicle measurement, various inertia, response times, and signal
processing on the controls should be considered. Based on the chest movement, medical data
such as heartbeat, breathing and even blood alcohol level might be inferred.

4�1�14 Autonomous Emergency Braking-based (AEB) Collision Avoidance

This use case used algorithms to predict and avoid collisions by collecting data from a sensor
fusion and multi-modal for commercial vehicles. Specifically, blind spots, lane merging, and
direction of movement are noted to complement the angle detection data. In case of collision,
safety accessories such as seat belts and airbags are to protect the drivers and passengers. To
test the AEB system, an international standard issued by the Society of Automotive Engineers
(SAE) is referred to. In addition, driver preferences and parameters for the level of alert should
be considered according to the different driving habits of drivers.

4�1�15 Pedestrian Safety

Smart vehicles, sensors such as Lidar and cameras, networks with low latency and high
throughput, AI/ML feedback loops, and roadside units (RSUs) like smart traffic signals play an
important role in this use case. The level of impact of the use case, its potential influence, and
predictive human intervention (preventive and post-facto interventions) are studied. Decision-
making aspects, such as sensor deployment responsibilities, subsidies, and goal setting for
deployment timelines, are critical.

Data analyzed includes various types, such as open data, and authorized data. The location of
data such as data processed at the core cloud and edge cloud will have different implications
for the use case. Data handling involves a pipeline from source, collection, preprocessor,
model, policy, and distributor to action application, considering ownership and readiness
evaluation of data across various stakeholders.

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