chore: reflect the move of the description packages (#11969)

Signed-off-by: Takagi, Isamu <isamu.takagi@tier4.jp>

Author: isamu-takagi

common/autoware_boundary_departure_checker/test/test_calc_max_search_length_for_boundaries.cpp

@@ -39,7 +39,7 @@ Trajectory create_trajectory(const std::vector<Eigen::Vector2d> & points)
 }
 
 // reference:
-// https://github.com/autowarefoundation/sample_vehicle_launch/blob/main/sample_vehicle_description/config/vehicle_info.param.yaml
+// https://github.com/autowarefoundation/autoware_core/blob/main/description/autoware_sample_vehicle_description/config/vehicle_info.param.yaml
 constexpr double wheel_radius_m = 0.383;
 constexpr double wheel_width_m = 0.235;
 constexpr double wheel_base_m = 2.79;

common/autoware_boundary_departure_checker/test/test_create_vehicle_footprints.cpp

@@ -73,7 +73,7 @@ PathWithLaneId create_path(const std::vector<std::pair<Eigen::Vector2d, double>>
 }
 
 // reference:
-// https://github.com/autowarefoundation/sample_vehicle_launch/blob/main/sample_vehicle_description/config/vehicle_info.param.yaml
+// https://github.com/autowarefoundation/autoware_core/blob/main/description/autoware_sample_vehicle_description/config/vehicle_info.param.yaml
 constexpr double wheel_radius_m = 0.383;
 constexpr double wheel_width_m = 0.235;
 constexpr double wheel_base_m = 2.79;

control/autoware_smart_mpc_trajectory_follower/autoware_smart_mpc_trajectory_follower/param/nominal_param.yaml

@@ -1,4 +1,4 @@
-# default parameter is set for sample_vehicle of AWF: https://github.com/autowarefoundation/sample_vehicle_launch/tree/main/sample_vehicle_description
+# default parameter is set for sample_vehicle of AWF: https://github.com/autowarefoundation/autoware_core/blob/main/description/autoware_sample_vehicle_description
 nominal_parameter:
   vehicle_info:
     wheel_base: 2.79

simulator/autoware_simple_planning_simulator/README.md

@@ -144,7 +144,7 @@ We created a few basic models to showcase how `LEARNED_STEER_VEL` works.
 
 1. Install [a library](https://github.com/atomyks/control_analysis_pipeline/tree/v0.1_autoware) that contains basic Python models. (branch: `v0.1_autoware`)
 
-2. In a file `src/vehicle/sample_vehicle_launch/sample_vehicle_description/config/simulator_model.param.yaml` set `vehicle_model_type` to `LEARNED_STEER_VEL`. In the same file set the following parameters. These models are for testing and do not require any parameter file.
+2. In a file `src/core/autoware_core/description/autoware_sample_vehicle_description/config/simulator_model.param.yaml` set `vehicle_model_type` to `LEARNED_STEER_VEL`. In the same file set the following parameters. These models are for testing and do not require any parameter file.
 
 ```yaml
 model_module_paths: