UC1_ TC_22

"* Preconditions: Radar detection + tracking algorithm (including ML based postprocessing/classification) shall achieve 99% vehicle counting accuracy and speed measurement error within 2kph/2% (bigger of) under various traffic scenarios where vehicles appear very close to each other and going with approximately equal speed (one following another). * Input conditions / steps: radar data from simulator/real-world with significant occurrence of above mentioned cases. * Expected result: The system shall meet counting and speed measurement accuracy when close passing vehicles (one follows the other one) are present."

Test Case Id Use Case Number + Test Case Number For example: UC7_TC_1

Test Case Evaluation Criteria

Test Case V&V Method

Test Case Component Under Evaluation

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)

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