Carma-platform v4.2.0
CARMA Platform is built on robot operating system (ROS) and utilizes open source software (OSS) that enables Cooperative Driving Automation (CDA) features to allow Automated Driving Systems to interact and cooperate with infrastructure and other vehicles through communication.
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This Node is responsible for predicting environment objects' motion and sharing those predictions with the rest of CARMA Platform. It serves three main functions:
ExternalObject
sThe following table lists the motion model used for each ExternalObject
semantic category
Object type | Motion model |
---|---|
UNKNOWN | CTRV |
MOTORCYCLE | CTRV |
SMALL_VEHICLE | CTRV |
LARGE_VEHICLE | CTRV |
PEDESTRIAN | CV |
default | CV |
[!IMPORTANT]\ This Node requires a valid georeference to do the motion predictions. Until it receives one on the
georeference
topic, it will not publish any.
[!IMPORTANT]\ This Node will only publish motion predictions when it receives external object information on the
external_objects
topic. Messages on theincoming_*
topics will be queued until then.
Topic | Message Type | Description |
---|---|---|
external_objects | carma_perception_msgs::msg::ExternalObjectList | Locally-detected objects |
incoming_mobility_path | carma_v2x_msgs::msg::MobilityPath | Self-reported planned motion paths from nearby vehicles |
incoming_bsm | carma_v2x_msgs::msg::BSM | Incoming basic safety messages |
incoming_psm | carma_v2x_msgs::msg::PSM | Incoming personal safety messages |
georeference | std_msgs::msg::String | Georeference point for projecting WGS-84 coordinates to a plane. Assumed and required to be a valid PROJ string. |
Topic | Message Type | Frequency | Description |
---|---|---|---|
external_object_predictions | carma_perception_msgs::msg::ExternalObjectList | Subscription-driven | This Node will publish predictions only when it receives a message from the external_objects topic. Incoming mobility paths, BSMs, and PSMs will be queued until then. |
Topic | Data Type | Default Value | Required | Read Only | Description |
---|---|---|---|---|---|
prediction_time_step | double | 0.1 | Yes | No | Motion prediction time step (in seconds) |
mobility_path_time_step | double | 0.1 | Yes | No | Time between received mobility path predicted states (in seconds) |
prediction_period | double | 2.0 | Yes | No | Prediction horizon (in seconds) |
cv_x_accel_noise | double | 9.0 | Yes | No | CV Model X-Axis Acceleration Noise |
cv_y_accel_noise | double | 9.0 | Yes | No | CV Model Y-Axis Acceleration Noise |
prediction_process_noise_max | double | 1000.0 | Yes | No | Maximum expected process noise; used for mapping noise to confidence in [0,1] range |
prediction_confidence_drop_rate | double | 0.95 | Yes | No | Percentage of initial confidence to propagate to next time step |
enable_bsm_processing | bool | false | Yes | No | If true then BSM messages will be converted to ExternalObjects . If other object sources are enabled, they will be synchronized but no fusion will occur (objects may be duplicated) |
enable_psm_processing | bool | false | Yes | No | If true then PSM messages will be converted to ExternalObjects . If other object sources are enabled, they will be synchronized but no fusion will occur (objects may be duplicated) |
enable_mobility_path_processing | bool | true | Yes | No | If true then MobilityPath messages will be converted to ExternalObjects . If other object sources are enabled, they will be synchronized but no fusion will occur (objects may be duplicated) |
enable_sensor_processing | bool | false | Yes | No | If true then ExternalObjects generated from sensor data will be processed. If other object sources are enabled, they will be synchronized but no fusion will occur (objects may be duplicated) |
This Node does not provide services.
This Node does not provide actions.