UC1_R_11

System shall be triggered at the moment license plate/vehicle's mask crosses detection line with 20ms accuracy.

Requirement ID

Requirement Textual Description

Requirement Type

Requirement Test Cases

Requirement Test Cases List

VALU3S Framework

Evaluation Environment Type Type of environment where the method is applied. It can be more than one type of environment.(Dimension 1)

Evaluation Type Type of evaluation performed with that method. If a method is hybrid, more than one type can be selected.(Dimension 2)

Type of Component Under Evaluation Type of components that can be evaluated with that method. It can be more than one type.(Dimension 3)

Evaluation Stage The evaluation stage where the method is used.(Dimension 5)

Purpose of the Component Under Evaluation The type of purpose that can be evaluated by a method. It can be more than one type.(Dimension 6)

Type of Requirement Under Evaluation The type of requirements that a method is able to evaluate. It can be more than one type.(Dimension 7)

Evaluation Performance Indicator The type of evaluation criteria or KPI that a method is able to improve. It can be more than one type.(Dimension 8)

Contents

UC1_TC_12

* Preconditions: Detections generated by radar detection + tracking algorithm (including ML based post-processing/classification) and sent for triggering camera shall be supervised by a sophisticated mechanism (probably inside the camera) in order to detect anomalies that can overload the overall system. * Input conditions / steps: image from simulator/real-world containing thousands of passes of various vehicles (dense traffic) including radar data with anomalies. * Expected result: The system should detect abnormality in incoming detections (based on estimation of typical traffic/worst traffic scenario) from radar side, cut-out radar and immediately report it.