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333. Follower Vehicle evaluation scenario

In the follower_vehicle evaluation scenario, the vehicle_actor drives behind the Ego in the same lane, and the Ego drives ahead of it.

Scenario location: $FTX/logiq/scenario_library_post_match/follower_vehicle/follower_vehicle

333.1 Actors

The actors associated with this scenario are as follows:

Actor Description Type Depiction
ego Vehicle under test vehicle
vehicle_actor Follower vehicle vehicle
Figure 1: Follower vehicle

333.2 Scenario phases

The phase descriptions are as follows:

333.2.1 follower_vehicle

Ego: The Ego drives in one lane.

vehicle_actor: The vehicle_actor drives behind the Ego in the same lane, maintaining a distance from the Ego in the range between min_distance_from_sut_in_time_units and max_distance_from_sut_in_time_units during the entire phase.

333.3 Parameters

Use these parameters to constrain the scenario. If you do not set a specific value, the default value will be used.

Parameter Type Description Default value
lane_calculation_tolerance_length length The tolerance of lane calculation gives tolerance advantage to return true from keep_lane() 1m
same_road_limit time The time threshold for the vehicle_actor to be considered as driving on the same road as the Ego 10sec
min_scenario_duration time Minimal time of the follower_vehicle scenario 1sec

The input items inherited from the sut.logiq_base_lane_following_scenario scenario are as follows:

Parameter Type Description Default value
min_distance_from_sut_in_time_units time Minimal headway distance between the Ego and the vehicle actor 0sec
max_distance_from_sut_in_time_units time Maximal headway distance between the Ego and the vehicle actor 5sec

The input items inherited from the sut.logiq_base_vehicle_scenario scenario are as follows:

Parameter Type Description Default value
kinds list of evaluation_object_kind The possible kinds of vehicle_actor in the scenario No default value

333.4 Metrics

333.4.1 Coverage

[Click] The coverage items inherited from the sut.logiq_base_lane_following_scenario scenario are as follows:
Item Description Range Unit/Type
ego_min_distance_to_vehicle Minimum distance gap throughout the scenario [0..200), every: 20.0 m
[Click] The coverage items inherited from the sut.logiq_base_vehicle_scenario scenario are as follows:
Item Description Range Unit/Type
vehicle_speed_at_start Speed of the agent at the start of the scenario [0..150), every: 10.0 mph
[Click] The coverage items inherited from the sut.logiq_base_scenario scenario are as follows:
Item Description Range Unit/Type
ego_speed_at_start Longitudinal speed of the Ego at the start of the scenario [0..160), every: 10.0 mph

333.4.2 KPI

[Click] The KPIs inherited from the sut.logiq_base_vehicle_scenario scenario are as follows:
Item Description Range Unit/Type
vehicle_object_kind Object kind as derived from Foretify object, person, cyclist, vehicle, truck, trailer, fod, animal, sign, bus, motorcycle, emergency_vehicle, stationary_vehicle evaluation_object_kind
vehicle_tracking_id The tracking id of the agent as described in the object list data. If the data comes from a generative run, the UID will be used string
vehicle_avg_speed Average longitudinal speed of the agent throughout the scenario mph
vehicle_max_speed Maximum speed of the agent throughout the scenario mph
vehicle_min_speed Minimum speed of the agent throughout the scenario mph
vehicle_max_lon_acceleration Maximum longitudinal acceleration of the agent throughout the scenario mpsps
vehicle_min_lon_acceleration Minimum longitudinal acceleration of the agent throughout the scenario mpsps
ego_min_ttc_to_vehicle Minimal time to collision with the reference vehicle throughout the scenario s
ego_min_mttc_to_vehicle Minimal modified time to collision with the reference vehicle throughout the scenario s
[Click] The KPIs inherited from the sut.logiq_base_scenario scenario are as follows:
Item Description Range Unit/Type
ego_max_lon_acceleration Maximum acceleration of the Ego throughout the scenario mpsps
ego_min_lon_acceleration Minimum acceleration of the Ego throughout the scenario mpsps
ego_min_speed Minimum longitudinal speed of the Ego throughout the scenario mph
ego_avg_speed Average longitudinal speed of the Ego throughout the scenario mph
ego_max_speed Maximum longitudinal speed of the Ego throughout the scenario mph
interval_duration Interval duration of the scenario s