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autoware_motion_velocity_out_of_lane_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_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_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_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_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 0.43.0
License Apache License 2.0
Build type AMENT_CMAKE
Use RECOMMENDED

Repository Summary

Checkout URI https://github.com/autowarefoundation/autoware_universe.git
VCS Type git
VCS Version main
Last Updated 2025-04-04
Dev Status UNMAINTAINED
CI status No Continuous Integration
Released UNRELEASED
Tags No category tags.
Contributing Help Wanted (0)
Good First Issues (0)
Pull Requests to Review (0)

Package Description

The motion_velocity_out_of_lane_module package

Additional Links

No additional links.

Maintainers

  • Maxime Clement
  • Tomoya Kimura
  • Shumpei Wakabayashi
  • Takayuki Murooka
  • Mamoru Sobue
  • Alqudah Mohammad

Authors

No additional authors.

Out of Lane

Role

There are cases where the ego vehicle footprint goes out of the driving lane, for example when taking a narrow turn with a large vehicle. The out_of_lane module adds deceleration and stop points to the ego trajectory in order to prevent collisions from occurring in these out of lane cases.

Activation

This module is activated if the launch parameter launch_out_of_lane_module is set to true.

Inner-workings / Algorithms

This module calculates if out of lane collisions occur and insert stop point before the collisions if necessary.

The algorithm assumes the input ego trajectory contains accurate time_from_start values in order to calculate accurate time to collisions with the predicted objects.

Next we explain the inner-workings of the module in more details.

1. Ego trajectory footprints

In this first step, the ego footprint is projected at each trajectory point and its size is modified based on the ego.extra_..._offset parameters.

The length of the trajectory used for generating the footprints is limited by the max_arc_length parameter.

ego_footprints

2. Other lanelets

In the second step, we calculate the lanelets where collisions should be avoided. We consider all lanelets around the ego vehicle that are not crossed by the trajectory linestring (sequence of trajectory points) or their preceding lanelets.

other_lanes

In the debug visualization, these other lanelets are shown as blue polygons.

3. Out of lane areas

Next, for each trajectory point, we create the corresponding out of lane areas by intersection the other lanelets (from step 2) with the trajectory point footprint (from step 1). Each area is associated with the lanelets overlapped by the area and with the corresponding ego trajectory point.

out_of_lane_areas

In the debug visualization, the out of lane area polygon is connected to the corresponding trajectory point by a line.

4. Predicted objects filtering

We filter objects and their predicted paths with the following conditions:

  • ignore objects with a speed bellow the minimum_velocity parameter;
  • ignore objects coming from behind the ego vehicle if parameter ignore_behind_ego is set to true;
  • ignore predicted paths whose confidence value is bellow the predicted_path_min_confidence parameter;
  • cut the points of predicted paths going beyond the stop line of a red traffic light if parameter cut_predicted_paths_beyond_red_lights is set to true.
cut_predicted_paths_beyond_red_lights = false cut_predicted_paths_beyond_red_lights = true

In the debug visualization, the filtered predicted paths are shown in green and the stop lines of red traffic lights are shown in red.

5. Time to collisions

For each out of lane area, we calculate the times when a dynamic object will overlap the area based on its filtered predicted paths.

In the case where parameter mode is set to threshold and the calculated time is less than threshold.time_threshold parameter, then we decide to avoid the out of lane area.

In the case where parameter mode is set to ttc, we calculate the time to collision by comparing the predicted time of the object with the time_from_start field contained in the trajectory point. If the time to collision is bellow the ttc.threshold parameter value, we decide to avoid the out of lane area.

ttcs

In the debug visualization, the ttc (in seconds) is displayed on top of its corresponding trajectory point. The color of the text is red if the collision should be avoided and green otherwise.

6. Calculate the stop or slowdown point

First, the minimum stopping distance of the ego vehicle is calculated based on the jerk and deceleration constraints set by the velocity smoother parameters.

We then search for the furthest pose along the trajectory where the ego footprint stays inside of the ego lane (calculate in step 2) and constraint the search to be between the minimum stopping distance and the 1st trajectory point with a collision to avoid (as determined in the previous step). The search is done by moving backward along the trajectory with a distance step set by the action.precision parameter.

We first do this search for a footprint expanded with the ego.extra_..._offset, action.longitudinal_distance_buffer and action.lateral_distance_buffer parameters. If no valid pose is found, we search again while only considering the extra offsets but without considering the distance buffers. If still no valid pose is found, we use the base ego footprint without any offset. In case no pose is found, we fallback to using the pose before the detected collision without caring if it is out of lane or not.

Whether it is decided to slow down or stop is determined by the distance between the ego vehicle and the trajectory point to avoid. If this distance is bellow the actions.slowdown.threshold, a velocity of actions.slowdown.velocity will be used. If the distance is bellow the actions.stop.threshold, a velocity of 0m/s will be used.

In addition, if parameter action.use_map_stop_lines is set to true, then the stop point may be moved to the earliest stop line preceding the stop point where ego can comfortably stop. Stop lines are defined in the vector map and must be attached to one of the lanelet followed by the ego trajectory.

avoid_collision

About stability of the stop/slowdown pose

As the input trajectory can change significantly between iterations, it is expected that the decisions of this module will also change. To make the decision more stable, a stop or slowdown pose is used for a minimum duration set by the action.min_duration parameter. If during that time a new pose closer to the ego vehicle is generated, then it replaces the previous one. Otherwise, the stop or slowdown pose will only be discarded after no out of lane collision is detection for the set duration.

Module Parameters

Parameter Type Description
mode string [-] mode used to consider a dynamic object. Candidates: threshold, intervals, ttc
skip_if_already_overlapping bool [-] if true, do not run this module when ego already overlaps another lane
max_arc_length double [m] maximum trajectory arc length that is checked for out_of_lane collisions
Parameter /threshold Type Description
time_threshold double [s] consider objects that will reach an overlap within this time
Parameter /ttc Type Description
threshold double [s] consider objects with an estimated time to collision bellow this value while ego is on the overlap
Parameter /objects Type Description
minimum_velocity double [m/s] ignore objects with a velocity lower than this value
predicted_path_min_confidence double [-] minimum confidence required for a predicted path to be considered
cut_predicted_paths_beyond_red_lights bool [-] if true, predicted paths are cut beyond the stop line of red traffic lights
ignore_behind_ego bool [-] if true, objects behind the ego vehicle are ignored
Parameter /action Type Description
use_map_stop_lines bool [-] if true, try to stop at stop lines defined in the vector map
precision double [m] precision when inserting a stop pose in the trajectory
longitudinal_distance_buffer double [m] safety distance buffer to keep in front of the ego vehicle
lateral_distance_buffer double [m] safety distance buffer to keep on the side of the ego vehicle
min_duration double [s] minimum duration needed before a decision can be canceled
slowdown.distance_threshold double [m] insert a slow down when closer than this distance from an overlap
slowdown.velocity double [m] slow down velocity
stop.distance_threshold double [m] insert a stop when closer than this distance from an overlap
Parameter /ego Type Description
extra_front_offset double [m] extra front distance to add to the ego footprint
extra_rear_offset double [m] extra rear distance to add to the ego footprint
extra_left_offset double [m] extra left distance to add to the ego footprint
extra_right_offset double [m] extra right distance to add to the ego footprint
CHANGELOG

Changelog for package autoware_motion_velocity_out_of_lane_module

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(out_of_lane): fix object path time collision calculation (#10267) fix collision time calculation
  • feat(out_of_lane): add option to use stop lines defined in the vector map (#9584)
  • fix(out_of_lane): fix condition to keep using previous stop pose within some time buffer (#10140)
  • Contributors: Hayato Mizushima, Maxime CLEMENT, Yutaka Kondo, mkquda

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)
  • feat(motion_velocity_planner): common implementation for motion_velocity_obstacle_<stop/slow_down/cruise>_module (#10035)
    • feat(motion_velocity_planner): prepare for motion_velocity_<stop/slow_down/cruise>_module

    * update launch ---------

  • Contributors: Fumiya Watanabe, Ryohsuke Mitsudome, Takayuki Murooka, 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
  • feat(motion_velocity_planner)!: add _universe suffix to autoware_motion_velocity_planner_common and autoware_motion_velocity_planner_node (#9942)
  • 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(motion_velocity_planner): introduce Object/Pointcloud structure in PlannerData (#9812)
    • feat: new object/pointcloud struct in motion velocity planner
    • update planner_data
    • modify modules

    * fix

  • feat(motion_velocity_planner): remove unnecessary tier4_planning_msgs dependency (#9757)
    • feat(motion_velocity_planner): remove unnecessary tier4_planning_msgs dependency

    * fix

  • feat(motion_velocity_planner): use Float64Stamped in autoware_internal_debug_msgs (#9745)
  • Contributors: Fumiya Watanabe, Mamoru Sobue, Ryohsuke Mitsudome, Satoshi OTA, Takayuki Murooka

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)
  • 0.39.0
  • update changelog
  • Merge commit '6a1ddbd08bd' into release-0.39.0
  • fix: fix ticket links to point to https://github.com/autowarefoundation/autoware_universe (#9304)
  • refactor(traffic_light_utils): prefix package and namespace with autoware (#9251)
  • 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

  • fix(out_of_lane): correct calculations of the stop pose (#9209)
  • Contributors: Esteve Fernandez, Fumiya Watanabe, Maxime CLEMENT, Ryohsuke Mitsudome, Yutaka Kondo

0.39.0 (2024-11-25)

0.38.0 (2024-11-08)

  • unify package.xml version to 0.37.0
  • perf(out_of_lane): use intersection with other lanes instead of difference with ego lane (#8870)
  • chore(motion_velocity_planner): add Alqudah Mohammad as maintainer (#8877)
  • chore(planning): consistent parameters with autoware_launch (#8915)
    • chore(planning): consistent parameters with autoware_launch
    • update

    * fix json schema ---------

  • fix(motion_planning): align the parameters with launcher (#8792) parameters in motion_planning aligned
  • docs(out_of_lane): update documentation for the new design (#8692)
  • fix(out_of_lane): fix a bug with the rtree reference deleted nodes (#8679)
  • fix(out_of_lane): fix noConstructor cppcheck warning (#8636)
  • feat(out_of_lane): redesign to improve accuracy and performance (#8453)
  • perf(out_of_lane): use rtree to get stop lines and trajectory lanelets (#8439)
  • chore(out_of_lane): add Mamoru SOBUE as maintainer (#8440)
  • feat(out_of_lane): also apply lat buffer between the lane and stop pose (#7918)
  • feat(out_of_lane): ignore objects coming from behind ego (#7891)
  • fix(autoware_motion_velocity_out_of_lane_module): fix constParameterReference (#8051) fix:constParameterReference
  • perf(motion_velocity_planner): resample trajectory after vel smoothing (#7732)
    • perf(dynamic_obstacle_stop): create rtree with packing algorithm

    * Revert "perf(out_of_lane): downsample the trajectory to improve performance (#7691)" This reverts commit 8444a9eb29b32f500be3724dd5662013b9b81060. * perf(motion_velocity_planner): resample trajectory after vel smoothing ---------

  • feat: add [autoware_]{.title-ref} prefix to [lanelet2_extension]{.title-ref} (#7640)
  • perf(out_of_lane): downsample the trajectory to improve performance (#7691)
  • feat(motion_velocity_planner, lane_departure_checker): add processing time Float64 publishers (#7683)
  • feat(motion_velocity_planner): publish processing times (#7633)
  • 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>>
  • refactor(route_handler)!: rename to include/autoware/{package_name} (#7530) refactor(route_handler)!: rename to include/autoware/{package_name}
  • feat(motion_velocity_planner): rename include directories (#7523)
  • refactor(route_handler): route handler add autoware prefix (#7341)
    • rename route handler package
    • update packages dependencies
    • update include guards
    • update includes
    • put in autoware namespace
    • fix formats

    * keep header and source file name as before ---------

  • refactor(vehicle_info_utils)!: prefix package and namespace with autoware (#7353)
    • chore(autoware_vehicle_info_utils): rename header
    • chore(bpp-common): vehicle info
    • chore(path_optimizer): vehicle info
    • chore(velocity_smoother): vehicle info
    • chore(bvp-common): vehicle info
    • chore(static_centerline_generator): vehicle info
    • chore(obstacle_cruise_planner): vehicle info
    • chore(obstacle_velocity_limiter): vehicle info
    • chore(mission_planner): vehicle info
    • chore(obstacle_stop_planner): vehicle info
    • chore(planning_validator): vehicle info
    • chore(surround_obstacle_checker): vehicle info
    • chore(goal_planner): vehicle info
    • chore(start_planner): vehicle info
    • chore(control_performance_analysis): vehicle info
    • chore(lane_departure_checker): vehicle info
    • chore(predicted_path_checker): vehicle info
    • chore(vehicle_cmd_gate): vehicle info
    • chore(obstacle_collision_checker): vehicle info
    • chore(operation_mode_transition_manager): vehicle info
    • chore(mpc): vehicle info
    • chore(control): vehicle info
    • chore(common): vehicle info
    • chore(perception): vehicle info
    • chore(evaluator): vehicle info
    • chore(freespace): vehicle info
    • chore(planning): vehicle info
    • chore(vehicle): vehicle info
    • chore(simulator): vehicle info
    • chore(launch): vehicle info
    • chore(system): vehicle info
    • chore(sensing): vehicle info

    * fix(autoware_joy_controller): remove unused deps ---------

  • feat(motion_velocity_planner): use polling subscriber to efficiently get messages (#7223)
    • feat(motion_velocity_planner): use polling subscriber for odometry topic
    • use polling subscribers for more topics
    • remove blocking mutex lock when processing traffic lights

    * fix assign after return ---------

  • feat!: replace autoware_auto_msgs with autoware_msgs for planning modules (#7246) Co-authored-by: Cynthia Liu <<cynthia.liu@autocore.ai>> Co-authored-by: NorahXiong <<norah.xiong@autocore.ai>> Co-authored-by: beginningfan <<beginning.fan@autocore.ai>>
  • feat(motion_velocity_planner): add new motion velocity planning (#7064)
  • Contributors: Kosuke Takeuchi, Maxime CLEMENT, Ryohsuke Mitsudome, Satoshi OTA, Takayuki Murooka, Yutaka Kondo, Zhe Shen, kobayu858, mkquda

0.26.0 (2024-04-03)

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No version for distro iron. Known supported distros are highlighted in the buttons above.
No version for distro lunar. Known supported distros are highlighted in the buttons above.
No version for distro jade. Known supported distros are highlighted in the buttons above.
No version for distro indigo. Known supported distros are highlighted in the buttons above.
No version for distro hydro. Known supported distros are highlighted in the buttons above.
No version for distro kinetic. Known supported distros are highlighted in the buttons above.
No version for distro melodic. Known supported distros are highlighted in the buttons above.