ci: add sync-params workflow

.config-sync/perception/autoware_bevfusion/config/bevfusion_camera_lidar.param.yaml

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+# This file is generated by workflow. Do not modify directly.
+#
+# Source: https://github.com/autowarefoundation/autoware_universe/blob/b4593ce29d84b5a35165e1c15b6bcbbe3cd0227c/perception/autoware_bevfusion/config/bevfusion_camera_lidar.param.yaml
+# Variants in this repository:
+#   - autoware_launch/config/perception/object_recognition/detection/lidar_model/bevfusion_camera_lidar.param.yaml
+
+/**:
+  ros__parameters:
+    # non-network params
+    max_camera_lidar_delay: 0.12
+    # plugins
+    plugins_path: $(find-pkg-share autoware_tensorrt_plugins)/plugins/libautoware_tensorrt_plugins.so
+    # network
+    trt_precision: fp16
+    cloud_capacity: 2000000
+    onnx_path: "$(var model_path)/bevfusion_camera_lidar.onnx"
+    engine_path: "$(var model_path)/bevfusion_camera_lidar.engine"
+
+    # image backbone network (fusion mode enabled when all three parameters are non-empty)
+    image_backbone_onnx_path: "$(var model_path)/bevfusion_image_backbone.onnx"
+    image_backbone_engine_path: "$(var model_path)/bevfusion_image_backbone.engine"
+    image_backbone_trt_precision: fp16
+
+    # pre-process params
+    densification_num_past_frames: 1
+    densification_world_frame_id: map
+    run_image_undistortion: true
+
+    # post-process params
+    circle_nms_dist_threshold: 0.5
+    iou_nms_search_distance_2d: 10.0
+    iou_nms_threshold: 0.1
+    yaw_norm_thresholds: [0.3, 0.3, 0.3, 0.3, 0.0] # refers to the class_names
+    score_threshold: 0.1

.config-sync/perception/autoware_bevfusion/config/bevfusion_lidar.param.yaml

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+# This file is generated by workflow. Do not modify directly.
+#
+# Source: https://github.com/autowarefoundation/autoware_universe/blob/b4593ce29d84b5a35165e1c15b6bcbbe3cd0227c/perception/autoware_bevfusion/config/bevfusion_lidar.param.yaml
+# Variants in this repository:
+#   - autoware_launch/config/perception/object_recognition/detection/lidar_model/bevfusion_lidar.param.yaml
+
+/**:
+  ros__parameters:
+    # non-network params
+    max_camera_lidar_delay: 0.0
+    # plugins
+    plugins_path: $(find-pkg-share autoware_tensorrt_plugins)/plugins/libautoware_tensorrt_plugins.so
+    # network
+    trt_precision: fp16
+    cloud_capacity: 2000000
+    onnx_path: "$(var model_path)/bevfusion_lidar.onnx"
+    engine_path: "$(var model_path)/bevfusion_lidar.engine"
+
+    # image backbone network (lidar-only mode enabled when all three parameters are empty)
+    image_backbone_onnx_path: ""
+    image_backbone_engine_path: ""
+    image_backbone_trt_precision: ""
+
+    # pre-process params
+    densification_num_past_frames: 1
+    densification_world_frame_id: map
+    run_image_undistortion: false
+
+    # post-process params
+    circle_nms_dist_threshold: 0.5
+    iou_nms_search_distance_2d: 10.0
+    iou_nms_threshold: 0.1
+    yaw_norm_thresholds: [0.3, 0.3, 0.3, 0.3, 0.0] # refers to the class_names
+    score_threshold: 0.1

.config-sync/perception/autoware_bevfusion/config/common_bevfusion.param.yaml

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+# This file is generated by workflow. Do not modify directly.
+#
+# Source: https://github.com/autowarefoundation/autoware_universe/blob/cedc73a3f9e43fa53ec31e964b051b93dde82008/perception/autoware_bevfusion/config/common_bevfusion.param.yaml
+# Variants in this repository:
+#   - autoware_launch/config/perception/object_recognition/detection/lidar_model/bevfusion_common.param.yaml
+
+/**:
+  ros__parameters:
+    # When the processing time exceeds the max_allowed_processing_time,
+    # a warning will be triggered.
+    diagnostics:
+      max_allowed_processing_time_ms: 200.0 # in milliseconds
+      # If the warning is triggered and if a timestamp of last normal processing is more than
+      # max_acceptable_consecutive_delay_ms, an error diagnostic message will be sent.
+      max_acceptable_consecutive_delay_ms: 1000.0
+      # interval of diagnostic callback in milliseconds
+      validation_callback_interval_ms: 100.0 # in milliseconds

.config-sync/perception/autoware_detected_object_validation/config/object_lanelet_filter.param.yaml

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+# This file is generated by workflow. Do not modify directly.
+#
+# Source: https://github.com/autowarefoundation/autoware_universe/blob/7bbfa925fc756fb8f550772cde962c49daa8d3e6/perception/autoware_detected_object_validation/config/object_lanelet_filter.param.yaml
+# Variants in this repository:
+#   - autoware_launch/config/perception/object_recognition/detection/object_filter/object_lanelet_filter.param.yaml
+#   - autoware_launch/config/perception/object_recognition/detection/object_filter/radar_lanelet_filter.param.yaml
+
+/**:
+  ros__parameters:
+    filter_target_label:
+      UNKNOWN : true
+      CAR : false
+      TRUCK : false
+      BUS : false
+      TRAILER : false
+      MOTORCYCLE : false
+      BICYCLE : false
+      PEDESTRIAN : false
+
+    filter_settings:
+      # polygon overlap based filter
+      lanelet_xy_overlap_filter:
+        enabled: true
+
+      # velocity direction based filter
+      lanelet_direction_filter:
+        enabled: false
+        velocity_yaw_threshold: 0.785398 # [rad] (45 deg)
+        object_speed_threshold: 3.0 # [m/s]
+
+      # object's elevation from lanelet based filter
+      lanelet_object_elevation_filter:
+        enabled: false
+        max_elevation_threshold: 5.0 # [m] from a lanelet's surface
+        min_elevation_threshold: 0.0 # [m] from a lanelet's surface
+
+      lanelet_extra_margin: 0.0
+      debug: false

.config-sync/perception/autoware_detected_object_validation/config/object_position_filter.param.yaml

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+# This file is generated by workflow. Do not modify directly.
+#
+# Source: https://github.com/autowarefoundation/autoware_universe/blob/a595b365d4e4fa7184f6d104d6ef1802285f6bbb/perception/autoware_detected_object_validation/config/object_position_filter.param.yaml
+# Variants in this repository:
+#   - autoware_launch/config/perception/object_recognition/detection/object_filter/object_position_filter.param.yaml
+
+/**:
+  ros__parameters:
+    filter_target_label:
+      UNKNOWN : true
+      CAR : false
+      TRUCK : false
+      BUS : false
+      TRAILER : false
+      MOTORCYCLE : false
+      BICYCLE : false
+      PEDESTRIAN : false
+
+    upper_bound_x: 100.0
+    lower_bound_x: 0.0
+    upper_bound_y: 10.0
+    lower_bound_y: -10.0

.config-sync/perception/autoware_detected_object_validation/config/obstacle_pointcloud_based_validator.param.yaml

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+# This file is generated by workflow. Do not modify directly.
+#
+# Source: https://github.com/autowarefoundation/autoware_universe/blob/178b6c003ae5f5c2838352f397df7a0bbea9e6bb/perception/autoware_detected_object_validation/config/obstacle_pointcloud_based_validator.param.yaml
+# Variants in this repository:
+#   - autoware_launch/config/perception/object_recognition/detection/detected_object_validation/obstacle_pointcloud_based_validator.param.yaml
+
+/**:
+  ros__parameters:
+    min_points_num:
+    #UNKNOWN, CAR, TRUCK, BUS, TRAILER, MOTORBIKE, BICYCLE, PEDESTRIAN
+      [10,     10,  10,    10,     10,     10,      10,         10]
+
+    max_points_num:
+    #UNKNOWN, CAR, TRUCK, BUS, TRAILER, MOTORBIKE, BICYCLE, PEDESTRIAN
+      [10,     10,  10,    10,     10,     10,      10,         10]
+
+    min_points_and_distance_ratio:
+    #UNKNOWN,  CAR,    TRUCK,     BUS,    TRAILER, MOTORBIKE, BICYCLE,      PEDESTRIAN
+      [800.0,  800.0,  800.0,    800.0,   800.0,      800.0,    800.0,         800.0]
+
+    validate_max_distance_m: 70.0 # [m]
+
+    using_2d_validator: false
+    enable_debugger: false

.config-sync/perception/autoware_detected_object_validation/config/occupancy_grid_based_validator.param.yaml

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+# This file is generated by workflow. Do not modify directly.
+#
+# Source: https://github.com/autowarefoundation/autoware_universe/blob/6465aafcfd2073beb61b2e32b71a48ba0f66811f/perception/autoware_detected_object_validation/config/occupancy_grid_based_validator.param.yaml
+# Variants in this repository:
+#   - autoware_launch/config/perception/object_recognition/detection/detected_object_validation/occupancy_grid_based_validator.param.yaml
+
+/**:
+  ros__parameters:
+    mean_threshold: 0.6
+    enable_debug: false

.config-sync/perception/autoware_detected_object_validation/config/tracked_object_lanelet_filter.param.yaml

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+# This file is generated by workflow. Do not modify directly.
+#
+# Source: https://github.com/autowarefoundation/autoware_universe/blob/7f5a7f06318cda64ba53782f9b53ad949c05656b/perception/autoware_detected_object_validation/config/tracked_object_lanelet_filter.param.yaml
+# Variants in this repository:
+#   - autoware_launch/config/perception/object_recognition/tracking/radar_object_tracker/tracked_object_lanelet_filter.param.yaml
+
+/**:
+  ros__parameters:
+    filter_target_label:
+      UNKNOWN : true
+      CAR : false
+      TRUCK : false
+      BUS : false
+      TRAILER : false
+      MOTORCYCLE : false
+      BICYCLE : false
+      PEDESTRIAN : false
+
+    filter_settings:
+      # polygon overlap based filter
+      lanelet_xy_overlap_filter:
+        enabled: true
+
+      # velocity direction based filter
+      lanelet_direction_filter:
+        enabled: false
+        velocity_yaw_threshold: 0.785398 # [rad] (45 deg)
+        object_speed_threshold: 3.0 # [m/s]
+
+      # object's elevation from lanelet based filter
+      lanelet_object_elevation_filter:
+        enabled: false
+        max_elevation_threshold: 5.0 # [m] from a lanelet's surface
+        min_elevation_threshold: 0.0 # [m] from a lanelet's surface
+
+      lanelet_extra_margin: 0.0
+      debug: false

.config-sync/perception/autoware_detection_by_tracker/config/detection_by_tracker.param.yaml

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+# This file is generated by workflow. Do not modify directly.
+#
+# Source: https://github.com/autowarefoundation/autoware_universe/blob/6aab3e38933ddd264b9f32667770a75f74ec1ae3/perception/autoware_detection_by_tracker/config/detection_by_tracker.param.yaml
+# Variants in this repository:
+#   - autoware_launch/config/perception/object_recognition/detection/detection_by_tracker/detection_by_tracker.param.yaml
+
+/**:
+  ros__parameters:
+    tracker_ignore_label.UNKNOWN : true
+    tracker_ignore_label.CAR : false
+    tracker_ignore_label.TRUCK : false
+    tracker_ignore_label.BUS : false
+    tracker_ignore_label.TRAILER : false
+    tracker_ignore_label.MOTORCYCLE : false
+    tracker_ignore_label.BICYCLE : false
+    tracker_ignore_label.PEDESTRIAN : false

.config-sync/perception/autoware_euclidean_cluster/config/euclidean_cluster.param.yaml

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+# This file is generated by workflow. Do not modify directly.
+#
+# Source: https://github.com/autowarefoundation/autoware_universe/blob/f31e5dc592626af392ef0321b75b031b132537b2/perception/autoware_euclidean_cluster/config/euclidean_cluster.param.yaml
+# Variants in this repository:
+#   - autoware_launch/config/perception/object_recognition/detection/clustering/euclidean_cluster.param.yaml
+
+/**:
+  ros__parameters:
+    max_cluster_size: 1000
+    min_cluster_size: 10
+    tolerance: 0.7
+    use_height: false

.config-sync/perception/autoware_image_object_locator/config/bbox_object_locator.param.yaml

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+# This file is generated by workflow. Do not modify directly.
+#
+# Source: https://github.com/autowarefoundation/autoware_universe/blob/26f9914ec4f1ee53744bb55c039d75f5507353a9/perception/autoware_image_object_locator/config/bbox_object_locator.param.yaml
+# Variants in this repository:
+#   - autoware_launch/config/perception/object_recognition/detection/camera_vru_detection/near_range_camera_vru_detector.param.yaml
+
+/**:
+  ros__parameters:
+    target_frame: "base_link"
+    detection_target_class:
+      UNKNOWN : false
+      CAR : false
+      TRUCK : false
+      BUS : false
+      TRAILER : false
+      MOTORCYCLE : false
+      BICYCLE : false
+      PEDESTRIAN : true
+
+    roi_confidence_threshold: 0.80 # [0.0, 1.0]
+    roi_truncation_validation:
+      enabled: [false, false, false, false, false, false, false, false]
+      remove_truncated: [false, false, false, false, false, false, false, false]
+      image_border_truncation_horizontal_margin_ratio: 0.0 # [0.0, 0.5]
+      image_border_truncation_vertical_margin_ratio: 0.0 # [0.0, 0.5]
+
+    # if an object is detected farther than this, it will be filtered out
+    detection_max_range: 10.0 # [m]
+    # if object height is unavailable, this will be used instead
+    pseudo_height: 1.5 # [m]
+
+    pedestrian_detection_config:
+      width_min: 0.5 # [m]
+      width_max: 0.8 # [m]

.config-sync/perception/autoware_image_projection_based_fusion/config/fusion_common.param.yaml

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+# This file is generated by workflow. Do not modify directly.
+#
+# Source: https://github.com/autowarefoundation/autoware_universe/blob/e9d43e45ca477ec70e58421be59cebf867f11f5e/perception/autoware_image_projection_based_fusion/config/fusion_common.param.yaml
+# Variants in this repository:
+#   - autoware_launch/config/perception/object_recognition/detection/image_projection_based_fusion/fusion_common.param.yaml
+
+/**:
+  ros__parameters:
+    # Example of how to set offset parameters (Check the readme for more information), both lidar and camera run in 10 hz.
+    # msg3d's header timestamp: 0.000
+    # rois's header timestamp (camera 0-5):  0.059, 0.010, 0.026, 0.042, 0.076, 0.093
+    # offset = rois_timestamp- msg3d_timestamp
+    rois_timestamp_offsets: [0.059, 0.010, 0.026, 0.042, 0.076, 0.093]
+    rois_timeout_sec: 0.5
+    msg3d_timeout_sec: 0.05
+    image_buffer_size: 15
+    # projection setting for each ROI whether unrectify image
+    point_project_to_unrectified_image: [false, false, false, false, false, false]
+    filter_scope_min_x: -100.0
+    filter_scope_min_y: -100.0
+    filter_scope_min_z: -100.0
+    filter_scope_max_x: 100.0
+    filter_scope_max_y: 100.0
+    filter_scope_max_z: 100.0
+
+    # camera cache setting for each ROI
+    approximate_camera_projection: [true, true, true, true, true, true]
+    # grid size in pixels
+    approximation_grid_cell_width: 1.0
+    approximation_grid_cell_height: 1.0
+
+    # debug parameters
+    debug_mode: false
+    collector_debug_mode: false
+    publish_processing_time_detail: false
+
+    publish_previous_but_late_output_msg: false
+    rosbag_length: 10.0
+    # matching strategy
+    matching_strategy:
+      type: advanced
+      msg3d_noise_window: 0.02
+      rois_timestamp_noise_window: [0.01, 0.01, 0.01, 0.01, 0.01, 0.01]
+      # type: naive
+      # threshold: 0.05

.config-sync/perception/autoware_image_projection_based_fusion/config/pointpainting.param.yaml

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+# This file is generated by workflow. Do not modify directly.
+#
+# Source: https://github.com/autowarefoundation/autoware_universe/blob/6d587682ae9130c3723a0f83ba76d74c8dffc12d/perception/autoware_image_projection_based_fusion/config/pointpainting.param.yaml
+# Variants in this repository:
+#   - autoware_launch/config/perception/object_recognition/detection/lidar_model/pointpainting.param.yaml
+
+/**:
+  ros__parameters:
+    encoder_onnx_path: "$(var model_path)/pts_voxel_encoder_$(var model_name).onnx"
+    encoder_engine_path: "$(var model_path)/pts_voxel_encoder_$(var model_name).engine"
+    head_onnx_path: "$(var model_path)/pts_backbone_neck_head_$(var model_name).onnx"
+    head_engine_path: "$(var model_path)/pts_backbone_neck_head_$(var model_name).engine"
+    trt_precision: fp16
+    cloud_capacity: 2000000
+    post_process_params:
+      # post-process params
+      circle_nms_dist_threshold: 0.3
+      iou_nms_search_distance_2d: 10.0
+      iou_nms_threshold: 0.1
+      yaw_norm_thresholds: [0.3, 0.3, 0.3, 0.3, 0.0]
+    densification_params:
+      world_frame_id: "map"
+      num_past_frames: 1
+    omp_params:
+      # omp params
+      num_threads: 1

.config-sync/perception/autoware_image_projection_based_fusion/config/pointpainting_common.param.yaml

@@ -0,0 +1,17 @@
+# This file is generated by workflow. Do not modify directly.
+#
+# Source: https://github.com/autowarefoundation/autoware_universe/blob/56592b79e04262a328ae5e393675c1271e045635/perception/autoware_image_projection_based_fusion/config/pointpainting_common.param.yaml
+# Variants in this repository:
+#   - autoware_launch/config/perception/object_recognition/detection/image_projection_based_fusion/pointpainting_common.param.yaml
+
+/**:
+  ros__parameters:
+    diagnostics:
+      # When the processing time exceeds the max_allowed_processing_time,
+      # a warning will be triggered.
+      max_allowed_processing_time_ms: 200.0 # in milliseconds
+      # If the warning is triggered and if a timestamp of last normal processing is more than
+      # max_acceptable_consecutive_delay_ms, an error diagnostic message will be sent.
+      max_acceptable_consecutive_delay_ms: 1000.0
+      # interval of diagnostic callback in milliseconds
+      pointpainting_validation_callback_interval_ms: 100.0 # in milliseconds