UC1_R_2

Speed measurement error shall be within 2kph for speed up to 100kph and 2% for speed over 100kph.

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_2

"* 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 poor lighting situation at night and cloudy environment (at most Y% light Intensity) * Input conditions / steps: images from simulator/real-world with the reduced 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."