UC1_R_3

System should keep its qualities even in bad/tricky lighting and weather conditions.

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_3

"* Preconditions: Radar detection and tracking algorithm (including ML based postprocessing/classification) together with video detection + recognition algorithm shall achieve 99% accuracy and speed measurement error within 2kph/2% (bigger of) under strong direct sunlight environment * Input conditions / steps: images from simulator/real-world with the very strong daytime lighting including corresponding radar data * Expected result: The system achieves to detect and count the object in the radar data (based on point cloud), or video images (based on LP detection), or their combination correctly, meeting the expected accuracy."