UC1_R_14

System robustness against single sensor failure.

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_19

* Preconditions: A system of several sensors working together should only reduce X% in performance when Y% of the sensors fail due to HW failure * Input conditions / steps: Induce failure in real world/simulated sensor. * Expected result: Only Z% loss in functionality when Y% of the sensors fail

UC1_TC_11

* Preconditions: Detections generated by radar detection + tracking algorithm (including ML based post-processing/classification) shall match 99% of detections done by traffic camera based on LP detection and improve counting accuracy of the system in total. * Input conditions / steps: image/radar data from simulator/real-world containing thousands of passes of various vehicles (possibly including tricky traffic scenarios mentioned above). * Expected result: The radar shall match defined portion of detections with camera (in other words it should improve detection accuracy in most cases as counting accuracy of camera is mostly lower than 99%).