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Added figure anchors
Signed-off-by: Philip Windecker <philip.windecker@avenyr.de>
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.antora/modules/gen/doxynav.adoc

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doc/architecture/architecture_overview.adoc

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@@ -12,6 +12,7 @@ Top-level messages define the `GroundTruth` interface, the `SensorData` interfac
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The following figure shows the interfaces and models involved in modeling a sensor.
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[#fig-open-simulation-interface-overview]
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.Open Simulation Interface overview
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image::{images_open_simulation_interface}/osi-context.png[1100]
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@@ -21,12 +22,14 @@ The `TrafficCommand` interface makes it possible to send commands to traffic par
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The `TrafficUpdate` interface makes it possible to receive the updated state from traffic participant models.
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The following figure shows the interfaces of a generic traffic participant.
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[#fig-interface-traffic-participant]
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.Interface of a traffic participant
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image::{images_open_simulation_interface}/osi-traffic-participant-principle.png[1100]
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Traffic participant models may use other OSI interfaces internally, for example, to model autonomous vehicles.
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The following figure shows a more advanced use case for traffic participants.
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[#fig-traffic-participant-sensor-models]
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.Traffic participant with sensor models, AD function, and dynamic model
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image::{images_open_simulation_interface}/osi-traffic-participant-advanced.png[1100]
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doc/architecture/traffic_participant.adoc

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@@ -19,12 +19,14 @@ The ego vehicle is therefore also a traffic participant.
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The following figure shows the interface of a traffic participant.
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[#fig-interface-traffic-participant-2]
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.Interface of a traffic participant
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image::{images_open_simulation_interface}/osi-traffic-participant-principle.png[1100]
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Traffic participant models may use other OSI interfaces internally, for example, to model autonomous vehicles.
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The following figure shows a more advanced use case for traffic participants.
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[#fig-traffic-participant-other-osi-interfaces]
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.Traffic participant using other OSI interfaces internally
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image::{images_open_simulation_interface}/osi-traffic-participant-advanced.png[1100]
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doc/usecases/modeling_traffic_participant.adoc

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@@ -15,6 +15,7 @@ The traffic participants are co-simulated.
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The following figure shows a very simple use case.
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[#fig-simple-traffic-participant]
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.Simple traffic participant
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image::{images_open_simulation_interface}/osi-traffic-participant-use-case-1.png[1100]
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The following figure shows a traffic participant with separately modeled behavior and dynamics.
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[#fig-traffic-participants-separate-dynamics]
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.Traffic participants with separate dynamics
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image::{images_open_simulation_interface}/osi-traffic-participant-use-case-2.png[1100]
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The following figure shows a more complex traffic participant.
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[#fig-traffic-participant-sensor-models-2]
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.Traffic participant with sensor models, AD function, and dynamics model
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image::{images_open_simulation_interface}/osi-traffic-participant-use-case-3.png[1100]
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The following figure shows a cooperative use case with both an AD function and a human driver.
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[#fig-traffic-participant-ad-function-human-driver]
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.Traffic participant with an AD function and human driver
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image::{images_open_simulation_interface}/osi-traffic-participant-use-case-4.png[1100]
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doc/usecases/transforming_coordinate_systems.adoc

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A vector pointing from the reference position of the vehicle to the center of the rear axle then yields the origin of the vehicle coordinate system.
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The mounting positions of the sensors and therefore the origins of the corresponding sensor coordinate systems are given with respect to the vehicle coordinate system.
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[#fig-coordinate-systems-example]
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.TODO title
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image::{images_open_simulation_interface}/osi_example_coordinate_systems.png[]

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