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autoware_behavior_velocity_run_out_module package from autoware_universe repo

autoware_adapi_specs autoware_agnocast_wrapper autoware_auto_common autoware_component_interface_specs_universe autoware_component_interface_tools autoware_component_interface_utils autoware_cuda_dependency_meta autoware_fake_test_node autoware_glog_component autoware_goal_distance_calculator autoware_grid_map_utils autoware_path_distance_calculator autoware_polar_grid autoware_time_utils autoware_traffic_light_recognition_marker_publisher autoware_traffic_light_utils autoware_universe_utils tier4_api_utils autoware_autonomous_emergency_braking autoware_collision_detector autoware_control_performance_analysis autoware_control_validator autoware_external_cmd_selector autoware_joy_controller autoware_lane_departure_checker autoware_mpc_lateral_controller autoware_obstacle_collision_checker autoware_operation_mode_transition_manager autoware_pid_longitudinal_controller autoware_predicted_path_checker autoware_pure_pursuit autoware_shift_decider autoware_smart_mpc_trajectory_follower autoware_trajectory_follower_base autoware_trajectory_follower_node autoware_vehicle_cmd_gate autoware_control_evaluator autoware_kinematic_evaluator autoware_localization_evaluator autoware_perception_online_evaluator autoware_planning_evaluator autoware_scenario_simulator_v2_adapter tier4_autoware_api_launch tier4_control_launch tier4_localization_launch tier4_map_launch tier4_perception_launch tier4_planning_launch tier4_sensing_launch tier4_simulator_launch tier4_system_launch tier4_vehicle_launch autoware_geo_pose_projector autoware_gyro_odometer autoware_ar_tag_based_localizer autoware_landmark_manager autoware_lidar_marker_localizer autoware_localization_error_monitor autoware_ndt_scan_matcher autoware_pose2twist autoware_pose_covariance_modifier autoware_pose_estimator_arbiter autoware_pose_initializer autoware_pose_instability_detector yabloc_common yabloc_image_processing yabloc_monitor yabloc_particle_filter yabloc_pose_initializer autoware_lanelet2_map_visualizer autoware_map_height_fitter autoware_map_tf_generator autoware_bevfusion autoware_bytetrack autoware_cluster_merger autoware_compare_map_segmentation autoware_crosswalk_traffic_light_estimator autoware_detected_object_feature_remover autoware_detected_object_validation autoware_detection_by_tracker autoware_elevation_map_loader autoware_euclidean_cluster autoware_ground_segmentation autoware_image_projection_based_fusion autoware_lidar_apollo_instance_segmentation autoware_lidar_centerpoint autoware_lidar_transfusion autoware_map_based_prediction autoware_multi_object_tracker autoware_object_merger autoware_object_range_splitter autoware_object_velocity_splitter autoware_occupancy_grid_map_outlier_filter autoware_probabilistic_occupancy_grid_map autoware_radar_crossing_objects_noise_filter autoware_radar_fusion_to_detected_object autoware_radar_object_clustering autoware_radar_object_tracker autoware_radar_tracks_msgs_converter autoware_raindrop_cluster_filter autoware_shape_estimation autoware_simple_object_merger autoware_tensorrt_classifier autoware_tensorrt_common autoware_tensorrt_plugins autoware_tensorrt_yolox autoware_tracking_object_merger autoware_traffic_light_arbiter autoware_traffic_light_category_merger autoware_traffic_light_classifier autoware_traffic_light_fine_detector autoware_traffic_light_map_based_detector autoware_traffic_light_multi_camera_fusion autoware_traffic_light_occlusion_predictor autoware_traffic_light_selector autoware_traffic_light_visualization perception_utils autoware_costmap_generator autoware_external_velocity_limit_selector autoware_freespace_planner autoware_freespace_planning_algorithms autoware_mission_planner_universe autoware_obstacle_cruise_planner autoware_obstacle_stop_planner autoware_path_optimizer autoware_path_smoother autoware_planning_validator autoware_remaining_distance_time_calculator autoware_rtc_interface autoware_scenario_selector autoware_surround_obstacle_checker autoware_behavior_path_avoidance_by_lane_change_module autoware_behavior_path_dynamic_obstacle_avoidance_module autoware_behavior_path_external_request_lane_change_module autoware_behavior_path_goal_planner_module autoware_behavior_path_lane_change_module autoware_behavior_path_planner autoware_behavior_path_planner_common autoware_behavior_path_sampling_planner_module autoware_behavior_path_side_shift_module autoware_behavior_path_start_planner_module autoware_behavior_path_static_obstacle_avoidance_module autoware_behavior_velocity_blind_spot_module autoware_behavior_velocity_crosswalk_module autoware_behavior_velocity_detection_area_module autoware_behavior_velocity_intersection_module autoware_behavior_velocity_no_drivable_lane_module autoware_behavior_velocity_no_stopping_area_module autoware_behavior_velocity_occlusion_spot_module autoware_behavior_velocity_rtc_interface autoware_behavior_velocity_run_out_module autoware_behavior_velocity_speed_bump_module autoware_behavior_velocity_template_module autoware_behavior_velocity_traffic_light_module autoware_behavior_velocity_virtual_traffic_light_module autoware_behavior_velocity_walkway_module autoware_motion_velocity_dynamic_obstacle_stop_module autoware_motion_velocity_obstacle_cruise_module autoware_motion_velocity_obstacle_slow_down_module autoware_motion_velocity_obstacle_velocity_limiter_module autoware_motion_velocity_out_of_lane_module autoware_motion_velocity_run_out_module autoware_bezier_sampler autoware_frenet_planner autoware_path_sampler autoware_sampler_common autoware_cuda_pointcloud_preprocessor autoware_cuda_utils autoware_image_diagnostics autoware_image_transport_decompressor autoware_imu_corrector autoware_pcl_extensions autoware_pointcloud_preprocessor autoware_radar_objects_adapter autoware_radar_scan_to_pointcloud2 autoware_radar_static_pointcloud_filter autoware_radar_threshold_filter autoware_radar_tracks_noise_filter autoware_livox_tag_filter autoware_carla_interface autoware_dummy_perception_publisher autoware_fault_injection autoware_learning_based_vehicle_model autoware_simple_planning_simulator autoware_vehicle_door_simulator tier4_dummy_object_rviz_plugin autoware_bluetooth_monitor autoware_component_monitor autoware_component_state_monitor autoware_default_adapi autoware_adapi_adaptors autoware_adapi_visualizers autoware_automatic_pose_initializer autoware_diagnostic_graph_aggregator autoware_diagnostic_graph_utils autoware_dummy_diag_publisher autoware_dummy_infrastructure autoware_duplicated_node_checker autoware_hazard_status_converter autoware_mrm_comfortable_stop_operator autoware_mrm_emergency_stop_operator autoware_mrm_handler autoware_processing_time_checker autoware_system_diagnostic_monitor autoware_system_monitor autoware_topic_relay_controller autoware_topic_state_monitor autoware_velodyne_monitor reaction_analyzer autoware_accel_brake_map_calibrator autoware_external_cmd_converter autoware_raw_vehicle_cmd_converter autoware_steer_offset_estimator autoware_bag_time_manager_rviz_plugin autoware_mission_details_overlay_rviz_plugin autoware_overlay_rviz_plugin autoware_string_stamped_rviz_plugin autoware_perception_rviz_plugin tier4_adapi_rviz_plugin tier4_camera_view_rviz_plugin tier4_datetime_rviz_plugin tier4_localization_rviz_plugin tier4_planning_factor_rviz_plugin tier4_planning_rviz_plugin tier4_state_rviz_plugin tier4_system_rviz_plugin tier4_traffic_light_rviz_plugin tier4_vehicle_rviz_plugin

Package Summary

Tags No category tags.
Version 0.44.0
License Apache License 2.0
Build type AMENT_CMAKE
Use RECOMMENDED

Repository Summary

Description
Checkout URI https://github.com/autowarefoundation/autoware_universe.git
VCS Type git
VCS Version main
Last Updated 2025-04-28
Dev Status UNKNOWN
CI status No Continuous Integration
Released UNRELEASED
Tags planner ros calibration self-driving-car autonomous-driving autonomous-vehicles ros2 3d-map autoware
Contributing Help Wanted (0)
Good First Issues (0)
Pull Requests to Review (0)

Package Description

The autoware_behavior_velocity_run_out_module package

Additional Links

No additional links.

Maintainers

  • Tomohito Ando
  • Makoto Kurihara
  • Tomoya Kimura
  • Shumpei Wakabayashi
  • Takayuki Murooka
  • Kosuke Takeuchi

Authors

  • Tomohito Ando

Run Out

Role

run_out is the module that decelerates and stops for dynamic obstacles such as pedestrians, bicycles and motorcycles.

brief

Activation Timing

This module is activated if launch_run_out becomes true

Inner-workings / Algorithms

Flow chart

@startuml
title modifyPathVelocity
start

partition "Preprocess path" {
:Calculate the expected target velocity for ego vehicle;
:Extend path;
:Trim path from ego position;
}

partition "Preprocess obstacles" {
:Create data of abstracted dynamic obstacles;
:Exclude obstacles outside of partition lanelet;
}

partition "Collision_detection" {
:Detect collision with dynamic obstacles;
}

partition "Insert velocity" {
:Insert velocity to decelerate for obstacles;

:Limit velocity with specified jerk and acc limit;
}
stop
@enduml

Preprocess path

Calculate the expected target velocity for ego vehicle

Calculate the expected target velocity for the ego vehicle path to calculate time to collision with obstacles more precisely. The expected target velocity is calculated with autoware velocity smoother module by using current velocity, current acceleration and velocity limits directed by the map and external API.

brief

Extend the path

The path is extended by the length of base link to front to consider obstacles after the goal.

Trim path from ego position

The path is trimmed from ego position to a certain distance to reduce calculation time. Trimmed distance is specified by parameter of detection_distance.

Preprocess obstacles

Create data of abstracted dynamic obstacle

This module can handle multiple types of obstacles by creating abstracted dynamic obstacle data layer. Currently we have 3 types of detection method (Object, ObjectWithoutPath, Points) to create abstracted obstacle data.

Abstracted dynamic obstacle

Abstracted obstacle data has following information.

Name Type Description
pose geometry_msgs::msg::Pose pose of the obstacle
classifications std::vector<autoware_perception_msgs::msg::ObjectClassification> classifications with probability
shape autoware_perception_msgs::msg::Shape shape of the obstacle
predicted_paths std::vector<DynamicObstacle::PredictedPath> predicted paths with confidence. this data doesn’t have time step because we use minimum and maximum velocity instead.
min_velocity_mps float minimum velocity of the obstacle. specified by parameter of dynamic_obstacle.min_vel_kmph
max_velocity_mps float maximum velocity of the obstacle. specified by parameter of dynamic_obstacle.max_vel_kmph

Enter the maximum/minimum velocity of the object as a parameter, adding enough margin to the expected velocity. This parameter is used to create polygons for collision detection.

Future work: Determine the maximum/minimum velocity from the estimated velocity with covariance of the object

3 types of detection method

We have 3 types of detection method to meet different safety and availability requirements. The characteristics of them are shown in the table below. Method of Object has high availability (less false positive) because it detects only objects whose predicted path is on the lane. However, sometimes it is not safe because perception may fail to detect obstacles or generate incorrect predicted paths. On the other hand, method of Points has high safety (less false negative) because it uses pointcloud as input. Since points don’t have a predicted path, the path that moves in the direction normal to the path of ego vehicle is considered to be the predicted path of abstracted dynamic obstacle data. However, without proper adjustment of filter of points, it may detect a lot of points and it will result in very low availability. Method of ObjectWithoutPath has the characteristics of an intermediate of Object and Points.

Method Description
Object use an object with the predicted path for collision detection.
ObjectWithoutPath use an object but not use the predicted path for collision detection. replace the path assuming that an object jumps out to the lane at specified velocity.
Points use filtered points for collision detection. the path is created assuming that points jump out to the lane. points are regarded as an small circular shaped obstacle.

brief

Exclude obstacles outside of partition

This module can exclude the obstacles outside of partition such as guardrail, fence, and wall. We need lanelet map that has the information of partition to use this feature. By this feature, we can reduce unnecessary deceleration by obstacles that are unlikely to jump out to the lane. You can choose whether to use this feature by parameter of use_partition_lanelet.

brief

Exclude obstacles by label

This module only acts on target obstacles defined by the target_obstacle_types parameter. If an obstacle of a type not specified by said parameter is detected, it will be ignored by this module.

Exclude obstacles that are already on the ego vehicle’s path

In the cases were an obstacle is already on the ego vehicle’s path, it cannot “cut in” into the ego’s path anymore (which is the situation this module tries to handle) so it might be useful to exclude obstacles already on the vehicle’s footprint path. By setting the parameter exclude_obstacles_already_in_path to true, this module will exclude the obstacles that are considered to be already on the ego vehicle’s path for more than keep_obstacle_on_path_time_threshold. The module considers the ego vehicle’s closest path point to each obstacle’s current position, and determines the lateral distance between the obstacle and the right and left sides of the ego vehicle. If the obstacle is located within the left and right extremes of the vehicle for that pose, then it is considered to be inside the ego vehicle’s footprint path and it is excluded. The virtual width of the vehicle used to detect if an obstacle is within the path or not, can be adjusted by the ego_footprint_extra_margin parameter.

Exclude obstacles that cross the ego vehicle’s “cut line”

This module can exclude obstacles that have predicted paths that will cross the back side of the ego vehicle. It excludes obstacles if their predicted path crosses the ego’s “cut line”. The “cut line” is a virtual line segment that is perpendicular to the ego vehicle and that passes through the ego’s base link.

You can choose whether to use this feature by setting the parameter use_ego_cut_line to true or false. The width of the line can be tuned with the parameter ego_cut_line_length.

brief

Collision detection

Detect collision with dynamic obstacles

Along the ego vehicle path, determine the points where collision detection is to be performed for each detection_span.

The travel times to the each points are calculated from the expected target velocity.

brief

For the each points, collision detection is performed using the footprint polygon of the ego vehicle and the polygon of the predicted location of the obstacles. The predicted location of the obstacles is described as rectangle or polygon that has the range calculated by min velocity, max velocity and the ego vehicle’s travel time to the point. If the input type of the dynamic obstacle is Points, the obstacle shape is defined as a small cylinder.

brief

Multiple points are detected as collision points because collision detection is calculated between two polygons. So we select the point that is on the same side as the obstacle and close to ego vehicle as the collision point.

brief

Insert velocity

Insert velocity to decelerate for obstacles

If the collision is detected, stop point is inserted on distance of base link to front + stop margin from the selected collision point. The base link to front means the distance between base_link (center of rear-wheel axis) and front of the car. Stop margin is determined by the parameter of stop_margin.

brief

Insert velocity to approach the obstacles

If you select the method of Points or ObjectWithoutPath, sometimes ego keeps stopping in front of the obstacle. To avoid this problem, This feature has option to approach the obstacle with slow velocity after stopping. If the parameter of approaching.enable is set to true, ego will approach the obstacle after ego stopped for state.stop_time_thresh seconds. The maximum velocity of approaching can be specified by the parameter of approaching.limit_vel_kmph. The decision to approach the obstacle is determined by a simple state transition as following image.

brief

@startuml
hide empty description
left to right direction
title State transition for approaching the obstacle

[*] --> GO
GO --> STOP : Current velocity is less than threshold
STOP --> GO : Current velocity is larger than threshold

STOP --> APPROACH : Stop duration is larger than threshold
APPROACH --> GO : There are no obstacles or \n distance to the obstacle is larger than threshold
APPROACH --> APPROACH : Approach duration is less than threshold
@enduml

Limit velocity with specified jerk and acc limit

The maximum slowdown velocity is calculated in order not to slowdown too much. See the Occlusion Spot document for more details. You can choose whether to use this feature by parameter of slow_down_limit.enable.

Module Parameters

Parameter Type Description
detection_method string [-] candidate: Object, ObjectWithoutPath, Points
target_obstacle_types vector of string [-] specifies which obstacle types will be considered by the module, if the obstacles classification type is not written here, it will be ignored. candidate: [“PEDESTRIAN”, “BICYCLE”,”MOTORCYCLE”]
use_partition_lanelet bool [-] whether to use partition lanelet map data
specify_decel_jerk bool [-] whether to specify jerk when ego decelerates
stop_margin double [m] the vehicle decelerates to be able to stop with this margin
passing_margin double [m] the vehicle begins to accelerate if the vehicle’s front in predicted position is ahead of the obstacle + this margin
deceleration_jerk double [m/s^3] ego decelerates with this jerk when stopping for obstacles
detection_distance double [m] ahead distance from ego to detect the obstacles
detection_span double [m] calculate collision with this span to reduce calculation time
min_vel_ego_kmph double [km/h] min velocity to calculate time to collision
Parameter /detection_area Type Description
margin_ahead double [m] ahead margin for detection area polygon
margin_behind double [m] behind margin for detection area polygon
Parameter /dynamic_obstacle Type Description
use_mandatory_area double [-] whether to use mandatory detection area
assume_fixed_velocity.enable double [-] If enabled, the obstacle’s velocity is assumed to be within the minimum and maximum velocity values specified below
assume_fixed_velocity.min_vel_kmph double [km/h] minimum velocity for dynamic obstacles
assume_fixed_velocity.max_vel_kmph double [km/h] maximum velocity for dynamic obstacles
diameter double [m] diameter of obstacles. used for creating dynamic obstacles from points
height double [m] height of obstacles. used for creating dynamic obstacles from points
max_prediction_time double [sec] create predicted path until this time
time_step double [sec] time step for each path step. used for creating dynamic obstacles from points or objects without path
points_interval double [m] divide obstacle points into groups with this interval, and detect only lateral nearest point. used only for Points method
Parameter /approaching Type Description
enable bool [-] whether to enable approaching after stopping
margin double [m] distance on how close ego approaches the obstacle
limit_vel_kmph double [km/h] limit velocity for approaching after stopping
Parameter /state Type Description
stop_thresh double [m/s] threshold to decide if ego is stopping
stop_time_thresh double [sec] threshold for stopping time to transit to approaching state
disable_approach_dist double [m] end the approaching state if distance to the obstacle is longer than this value
keep_approach_duration double [sec] keep approach state for this duration to avoid chattering of state transition
Parameter /slow_down_limit Type Description
enable bool [-] whether to enable to limit velocity with max jerk and acc
max_jerk double [m/s^3] minimum jerk deceleration for safe brake.
max_acc double [m/s^2] minimum accel deceleration for safe brake.
Parameter /ignore_momentary_detection Type Description
enable bool [-] whether to ignore momentary detection
time_threshold double [sec] ignores detections that persist for less than this duration

Future extensions / Unimplemented parts

  • Calculate obstacle’s min velocity and max velocity from covariance
  • Detect collisions with polygon object
  • Handle the case when the predicted path of obstacles are not straight line
    • Currently collision check is calculated based on the assumption that the predicted path of the obstacle is a straight line
CHANGELOG

Changelog for package autoware_behavior_velocity_run_out_module

0.44.0 (2025-04-18)

  • Merge remote-tracking branch 'origin/main' into humble
  • fix(planning): apply THROTTLE to frequent log (#10419)
  • Contributors: Ryohsuke Mitsudome, Takayuki Murooka

0.43.0 (2025-03-21)

  • Merge remote-tracking branch 'origin/main' into chore/bump-version-0.43
  • chore: rename from [autoware.universe]{.title-ref} to [autoware_universe]{.title-ref} (#10306)
  • fix(behavior_velocity_planner): planning factor integration (#10292)
    • fix: blind_spot
    • fix: crosswalk
    • fix: detection_area
    • fix: intersection
    • fix: no_drivable_lane
    • fix: no_stopping_area
    • fix: run_out
    • fix: stop_line
    • fix: traffic_light
    • fix: virtual_traffic_light

    * fix: walk_way ---------

  • feat(Autoware_planning_factor_interface): replace tier4_msgs with autoware_internal_msgs (#10204)
  • Contributors: Hayato Mizushima, Satoshi OTA, Yutaka Kondo, 心刚

0.42.0 (2025-03-03)

  • Merge remote-tracking branch 'origin/main' into tmp/bot/bump_version_base
  • feat(autoware_utils): replace autoware_universe_utils with autoware_utils (#10191)
  • fix: add missing includes to autoware_universe_utils (#10091)
  • fix(behavior_velocity_run_out_module): fix slow_down jerk filter (#10065)
  • feat!: replace tier4_planning_msgs/PathWithLaneId with autoware_internal_planning_msgs/PathWithLaneId (#10023)
  • feat(planning_test_manager): abstract message-specific functions (#9882)
    • abstract message-specific functions
    • include necessary header
    • adapt velocity_smoother to new test manager
    • adapt behavior_velocity_planner to new test manager
    • adapt path_optimizer to new test manager
    • fix output subscription
    • adapt behavior_path_planner to new test manager
    • adapt scenario_selector to new test manager
    • adapt freespace_planner to new test manager
    • adapt planning_validator to new test manager
    • adapt obstacle_stop_planner to new test manager
    • adapt obstacle_cruise_planner to new test manager
    • disable test for freespace_planner
    • adapt behavior_velocity_crosswalk_module to new test manager
    • adapt behavior_path_lane_change_module to new test manager
    • adapt behavior_path_avoidance_by_lane_change_module to new test manager
    • adapt behavior_path_dynamic_obstacle_avoidance_module to new test manager
    • adapt behavior_path_external_request_lane_change_module to new test manager
    • adapt behavior_path_side_shift_module to new test manager
    • adapt behavior_path_static_obstacle_avoidance_module to new test manager
    • adapt path_smoother to new test manager
    • adapt behavior_velocity_blind_spot_module to new test manager
    • adapt behavior_velocity_detection_area_module to new test manager
    • adapt behavior_velocity_intersection_module to new test manager
    • adapt behavior_velocity_no_stopping_area_module to new test manager
    • adapt behavior_velocity_run_out_module to new test manager
    • adapt behavior_velocity_stop_line_module to new test manager
    • adapt behavior_velocity_traffic_light_module to new test manager
    • adapt behavior_velocity_virtual_traffic_light_module to new test manager
    • adapt behavior_velocity_walkway_module to new test manager
    • adapt motion_velocity_planner_node_universe to new test manager
    • include necessary headers

    * Odometries -> Odometry ---------Co-authored-by: Takayuki Murooka <<takayuki5168@gmail.com>>

  • Contributors: Fumiya Watanabe, Mitsuhiro Sakamoto, Ryohsuke Mitsudome, Tomoya Kimura, 心刚

0.41.2 (2025-02-19)

  • chore: bump version to 0.41.1 (#10088)
  • Contributors: Ryohsuke Mitsudome

0.41.1 (2025-02-10)

0.41.0 (2025-01-29)

  • Merge remote-tracking branch 'origin/main' into tmp/bot/bump_version_base
  • chore(planning): move package directory for planning factor interface (#9948)
    • chore: add new package for planning factor interface
    • chore(surround_obstacle_checker): update include file
    • chore(obstacle_stop_planner): update include file
    • chore(obstacle_cruise_planner): update include file
    • chore(motion_velocity_planner): update include file
    • chore(bpp): update include file
    • chore(bvp-common): update include file
    • chore(blind_spot): update include file
    • chore(crosswalk): update include file
    • chore(detection_area): update include file
    • chore(intersection): update include file
    • chore(no_drivable_area): update include file
    • chore(no_stopping_area): update include file
    • chore(occlusion_spot): update include file
    • chore(run_out): update include file
    • chore(speed_bump): update include file
    • chore(stop_line): update include file
    • chore(template_module): update include file
    • chore(traffic_light): update include file
    • chore(vtl): update include file
    • chore(walkway): update include file

    * chore(motion_utils): remove factor interface ---------

  • feat(planning_factor)!: remove velocity_factor, steering_factor and introduce planning_factor (#9927) Co-authored-by: Satoshi OTA <<44889564+satoshi-ota@users.noreply.github.com>> Co-authored-by: Ryohsuke Mitsudome <<43976834+mitsudome-r@users.noreply.github.com>> Co-authored-by: satoshi-ota <<satoshi.ota928@gmail.com>>
  • feat(behavior_velocity_modules): add node test (#9790)
    • feat(behavior_velocity_crosswalk): add node test
    • fix
    • feat(behavior_velocity_xxx_module): add node test
    • fix
    • fix
    • fix
    • fix

    * change directory tests -> test ---------

  • refactor(behavior_velocity_planner_common): add behavior_velocity_rtc_interface and move RTC-related implementation (#9799)
    • split into planer_common and rtc_interface

    * Update planning/behavior_velocity_planner/autoware_behavior_velocity_planner_common/include/autoware/behavior_velocity_planner_common/scene_module_interface.hpp Co-authored-by: Mamoru Sobue <<mamoru.sobue@tier4.jp>> * Update planning/behavior_velocity_planner/autoware_behavior_velocity_rtc_interface/include/autoware/behavior_velocity_rtc_interface/scene_module_interface_with_rtc.hpp Co-authored-by: Mamoru Sobue <<mamoru.sobue@tier4.jp>> * fix ——

    Co-authored-by: Mamoru Sobue <<mamoru.sobue@tier4.jp>>

  • feat(behavior_velocity_planner): use XXXStamped in autoware_internal_debug_msgs (#9744)
    • feat(behavior_velocity_planner): use XXXStamped in autoware_internal_debug_msgs

    * fix

  • fix(autoware_behavior_velocity_run_out_module): fix bugprone-branch-clone (#9715) fix: bugprone-error
  • Contributors: Fumiya Watanabe, Mamoru Sobue, Satoshi OTA, Takayuki Murooka, kobayu858

0.40.0 (2024-12-12)

  • Merge branch 'main' into release-0.40.0
  • Revert "chore(package.xml): bump version to 0.39.0 (#9587)" This reverts commit c9f0f2688c57b0f657f5c1f28f036a970682e7f5.
  • fix: fix ticket links in CHANGELOG.rst (#9588)
  • chore(package.xml): bump version to 0.39.0 (#9587)
    • chore(package.xml): bump version to 0.39.0
    • fix: fix ticket links in CHANGELOG.rst

    * fix: remove unnecessary diff ---------Co-authored-by: Yutaka Kondo <<yutaka.kondo@youtalk.jp>>

  • fix: fix ticket links in CHANGELOG.rst (#9588)
  • fix(cpplint): include what you use - planning (#9570)
  • feat(behavior_velocity_planner)!: remove stop_reason (#9452)
  • 0.39.0
  • update changelog
  • fix: fix ticket links to point to https://github.com/autowarefoundation/autoware_universe (#9304)
  • feat(behavior_velocity_planner): update velocity factor initialization for run out module (#9352) feat(behavior_velocity_planner): update velocity factor initialization Update the initialization of the velocity factor in the RunOutModule of the behavior_velocity_planner. The velocity factor is now initialized for the RUN_OUT behavior instead of the ROUTE_OBSTACLE behavior.
  • fix(autoware_behavior_velocity_run_out_module): fix clang-diagnostic-unused-lambda-capture (#9416) fix: clang-diagnostic-unused-lambda-capture
  • feat(run_out_module): add tests to run out (#9222)
    • WIP add tests for utils and path_utils
    • add tests for utils and fix test path utils
    • dynamic obstacles
    • new tests and add function declarations
    • add points for test of extractObstaclePointsWithinPolygon
    • add state machine tests and other tests for dynamic obstacle
    • remove unused test checks
    • remove unused tests
    • remove unwanted semicolons
    • test
    • add comments

    * solve cpp-check limitation issue by removing namespaces ---------

  • fix(run_out): output velocity factor (#9319)
    • fix(run_out): output velocity factor

    * fix(adapi): subscribe run out velocity factor ---------

  • fix: fix ticket links to point to https://github.com/autowarefoundation/autoware_universe (#9304)
  • chore(package.xml): bump version to 0.38.0 (#9266) (#9284)
    • unify package.xml version to 0.37.0
    • remove system_monitor/CHANGELOG.rst
    • add changelog

    * 0.38.0

  • Contributors: Esteve Fernandez, Fumiya Watanabe, Kyoichi Sugahara, M. Fatih Cırıt, Mamoru Sobue, Ryohsuke Mitsudome, Satoshi OTA, Yutaka Kondo, danielsanchezaran, kobayu858

0.39.0 (2024-11-25)

0.38.0 (2024-11-08)

  • unify package.xml version to 0.37.0
  • refactor(object_recognition_utils): add autoware prefix to object_recognition_utils (#8946)
  • fix(behavior_velocity_planner): align the parameters with launcher (#8791) parameters in behavior_velocity_planner aligned
  • fix(autoware_behavior_velocity_run_out_module): fix unusedFunction (#8779) fix:unusedFunction
  • fix(autoware_behavior_velocity_run_out_module): fix unusedFunction (#8669) fix:unusedFunction
  • fix(behavior_velocity_planner): fix cppcheck warnings of virtualCallInConstructor (#8376) Co-authored-by: Ryuta Kambe <<ryuta.kambe@tier4.jp>>
  • fix(behavior_velocity_planner): fix cppcheck warnings of functionStatic (#8262) fix: deal with functionStatic warnings
  • fix(autoware_behavior_velocity_run_out_module): fix functionConst (#8284) fix:functionConst
  • fix(autoware_behavior_velocity_run_out_module): fix passedByValue (#8215)
    • fix:passedByValue
    • fix:passedByValue

    * fix:passedByValue ---------

  • fix(autoware_behavior_velocity_run_out_module): fix constParameterReference (#8050) fix:constParameterReference
  • fix(behavior_path_planner, behavior_velocity_planner): fix redefinition errors (#7688)
  • refactor(universe_utils/motion_utils)!: add autoware namespace (#7594)
  • refactor(motion_utils)!: add autoware prefix and include dir (#7539) refactor(motion_utils): add autoware prefix and include dir
  • feat(autoware_universe_utils)!: rename from tier4_autoware_utils (#7538) Co-authored-by: kosuke55 <<kosuke.tnp@gmail.com>>
  • chore(behavior_velocity_planner): fix CODEOWNERS and page links (#7534)
    • chore(behavior_velocity_planner): fix CODEOWNERS and page links

    * fix: fix page link ---------

  • chore(behavior_velocity_planner): move packages (#7526)
  • Contributors: Esteve Fernandez, Fumiya Watanabe, Kosuke Takeuchi, Ryuta Kambe, Takayuki Murooka, Yutaka Kondo, Zhe Shen, kobayu858, taisa1

0.26.0 (2024-04-03)

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