UC1_TC_6"* Preconditions: Radar detection + tracking algorithm (including ML based postprocessing/classification) shall achieve 99% vehicle counting accuracy under various traffic scenarios where vulnerable road users (such as pedestrians or cyclists) appears together with regular traffic. * Input conditions / steps: radar data from simulator/real-world with significant occurrence of above mentioned cases. * Expected result: The system shall meet counting accuracy for all and every classes of road users (vehicles, cyclists, pedestrians)"https://repo.valu3s.eu/use-cases/intelligent-traffic-surveillance/radar-camera-advanced-detection-and-tracking/req_7/uc1_tc_6https://repo.valu3s.eu/@@site-logo/logo_valu3s_green_transparent.png
UC1_TC_6
"* Preconditions: Radar detection + tracking algorithm (including ML based postprocessing/classification) shall achieve 99% vehicle counting accuracy under various traffic scenarios where vulnerable road users (such as pedestrians or cyclists) appears together with regular traffic. * Input conditions / steps: radar data from simulator/real-world with significant occurrence of above mentioned cases. * Expected result: The system shall meet counting accuracy for all and every classes of road users (vehicles, cyclists, pedestrians)"