Remove RSS documentation from UE4 CARLA (#8418)

* removed RSS documentation

* removed RSS example scripts

* added missing append to bboxes tutorial

Docs/3rd_party_integrations.md

@@ -10,7 +10,6 @@ CARLA has been developed to integrate with several 3rd party applications in ord
 -   [__Chrono__](tuto_G_chrono.md)
 -   [__ASAM OpenDRIVE__](adv_opendrive.md) 
 -   [__PTV Vissim__](adv_ptv.md)
--   [__RSS__](adv_rss.md) 
 -   [__AWS and RLlib__](tuto_G_rllib_integration.md)
 
 ---
@@ -63,10 +62,6 @@ Learn how to use CARLA alongside CarSIM [here](tuto_G_carsim_integration.md).
 
 [__ASAM OpenDRIVE__](https://www.asam.net/standards/detail/opendrive/) is an open format specification used to describe the logic of a road network intended to standardise the discription of road networks in digital format and allow different applications to exchange data on road networks. Please refer to the full documentation [__here__](adv_opendrive.md)
 
-## RSS - Responsibility Sensitive Safety
-
-CARLA integrates the [C++ Library for Responsibility Sensitive Safety](https://github.com/intel/ad-rss-lib) in the client library. This feature allows users to investigate behaviours of RSS without having to implement anything. CARLA will take care of providing the input, and applying the output to the AD systems on the fly. Refer to the full documentation [__here__](adv_rss.md)
-
 ## AWS and RLlib integration
 
 The RLlib integration brings support between the Ray/RLlib library and CARLA, allowing the easy use of the CARLA environment for training and inference purposes. Ray is an open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library. Read more about operating CARLA on AWS and RLlib [__here__](tuto_G_rllib_integration.md).

Docs/bp_library.md

@@ -255,9 +255,6 @@ Check out the [introduction to blueprints](core_actors.md).
         - `role_name` (_String_) <sub>_- Modifiable_</sub>
         - `sensor_tick` (_Float_) <sub>_- Modifiable_</sub>
         - `vertical_fov` (_Float_) <sub>_- Modifiable_</sub>
-- **<font color="#498efc">sensor.other.rss</font>**  
-    - **Attributes:**
-        - `role_name` (_String_) <sub>_- Modifiable_</sub>
 
 ### static
 - **<font color="#498efc">static.prop.advertisement</font>**  

Docs/core_concepts.md

@@ -57,7 +57,6 @@ A sensor is an actor attached to a parent vehicle. It follows the vehicle around
 *   Lane invasion detector.  
 *   Obstacle detector.  
 *   Radar.  
-*   RSS.  
 
 ---
 ## Advanced steps  
@@ -68,7 +67,6 @@ CARLA offers a wide range of features that go beyond the scope of this introduct
 *   [__PTV-Vissim co-simulation__](adv_ptv.md). Run a synchronous simulation between CARLA and PTV-Vissim traffic simulator.  
 *   [__Recorder__](adv_recorder.md). Saves snapshots of the simulation state to reenact a simulation with exact precision.   
 *   [__Rendering options__](adv_rendering_options.md). Graphics quality settings, off-screen rendering and a no-rendering mode.  
-*   [__RSS__](adv_rss.md). Integration of the [C++ Library for Responsibility Sensitive Safety](https://github.com/intel/ad-rss-lib) to modify a vehicle's trajectory using safety checks.
 *   [__Simulation time and synchrony__](adv_synchrony_timestep.md). Everything regarding the simulation time and server-client communication.  
 *   [__SUMO co-simulation__](adv_sumo.md). Run a synchronous simulation between CARLA and SUMO traffic simulator.  
 *   [__Traffic manager__](adv_traffic_manager.md). This module is in charge of every vehicle set to autopilot mode. It simulates traffic in the city for the simulation to look like a real urban environment.  

Docs/core_sensors.md

@@ -152,7 +152,6 @@ Different functionalities such as navigation, measurement of physical properties
 | [IMU](ref_sensors.md#imu-sensor)                                                                                                                                                                                             | [carla.IMUMeasurement](<../python_api#carlaimumeasurement>)                                                                                                                                     | Comprises an accelerometer, a gyroscope, and a compass.                                                                                                                                         |
 | [LIDAR](ref_sensors.md#lidar-sensor)                                                                                                                                                                                           | [carla.LidarMeasurement](<../python_api#carlalidarmeasurement>)                                                                                                                                 | A rotating LIDAR. Generates a 4D point cloud with coordinates and intensity per point to model the surroundings.                                                                                |
 | [Radar](ref_sensors.md#radar-sensor)                                                                                                                                                                                           | [carla.RadarMeasurement](<../python_api#carlaradarmeasurement>)                                                                                                                                 | 2D point map modelling elements in sight and their movement regarding the sensor.                                                                                                               |
-| [RSS](ref_sensors.md#rss-sensor)                                                                                                                                                                                             | [carla.RssResponse](<../python_api#carlarssresponse>)                                                                                                                                           | Modifies the controller applied to a vehicle according to safety checks. This sensor works in a different manner than the rest, and there is specific [RSS documentation](<../adv_rss>) for it. |
 | [Semantic LIDAR](ref_sensors.md#semantic-lidar-sensor)                                                                                                                                                                                  | [carla.SemanticLidarMeasurement](<../python_api#carlasemanticlidarmeasurement>)                                                                                                                 | A rotating LIDAR. Generates a 3D point cloud with extra information regarding instance and semantic segmentation.                                                                               |
 
 <br>

Docs/index.md

@@ -52,7 +52,6 @@ CARLA forum</a>
 [__Chrono__](tuto_G_chrono.md) — Details of the Chrono physics simulation integration with CARLA.   
 [__OpenDrive__](adv_opendrive.md) — Details of the OpenDrive support in CARLA.  
 [__PTV-Vissim__](adv_ptv.md) — Details of the co-simulation feature with PTV-Vissim.    
-[__RSS__](adv_rss.md) — Details of the Responsibility Sensitive Safety library integration with CARLA.  
 [__AWS__](tuto_G_rllib_integration) — Details of using RLlib to run CARLA as a distributed application on Amazon Web Services.  
 [__ANSYS__](ecosys_ansys.md) — Brief overview of how the Ansys Real Time Radar Model was integrated into CARLA.  
 [__carlaviz — web visualizer__](plugins_carlaviz.md) — Plugin that listens the simulation and shows the scene and some simulation data in a web browser.