autowareauto repository

autowareauto repository

autowareauto repository

autowareauto repository

autoware_auto_algorithm autoware_auto_common autoware_auto_geometry autoware_auto_tf2 covariance_insertion covariance_insertion_nodes had_map_utils lidar_utils measurement_conversion motion_model mpark_variant_vendor neural_networks optimization osqp_interface reference_tracking_controller signal_filters state_estimation state_estimation_nodes state_vector time_utils tvm_utility vehicle_constants_manager controller_common controller_common_nodes controller_testing motion_common motion_model_testing_simulator motion_testing motion_testing_nodes mpc_controller mpc_controller_nodes pure_pursuit pure_pursuit_nodes trajectory_follower trajectory_follower_nodes lgsvl_interface ne_raptor_interface spinnaker_camera_driver spinnaker_camera_nodes ssc_interface vehicle_interface velodyne_driver velodyne_nodes xsens_driver xsens_nodes hungarian_assigner autoware_auto_launch autoware_demos scenario_simulator_launch localization_common localization_nodes ndt ndt_nodes lanelet2_map_provider ndt_mapping_nodes point_cloud_mapping filter_node_base off_map_obstacles_filter off_map_obstacles_filter_nodes outlier_filter outlier_filter_nodes point_cloud_filter_transform_nodes point_cloud_fusion point_cloud_fusion_nodes polygon_remover polygon_remover_nodes ray_ground_classifier ray_ground_classifier_nodes voxel_grid voxel_grid_nodes apollo_lidar_segmentation apollo_lidar_segmentation_nodes euclidean_cluster euclidean_cluster_nodes ground_truth_detections tracking tracking_nodes tracking_test_framework behavior_planner behavior_planner_nodes lane_planner lane_planner_nodes lanelet2_global_planner lanelet2_global_planner_nodes object_collision_estimator object_collision_estimator_nodes parking_planner parking_planner_nodes recordreplay_planner recordreplay_planner_nodes trajectory_planner_node_base trajectory_smoother trajectory_spoofer lonely_world_prediction prediction_nodes autoware_state_monitor emergency_handler autoware_auto_cmake autoware_auto_create_pkg autoware_auto_examples autoware_testing avp_web_interface benchmark_tool benchmark_tool_nodes cluster_projection_node detection_2d_visualizer fake_test_node gnss_conversion_nodes joystick_vehicle_interface joystick_vehicle_interface_nodes lidar_integration point_type_adapter simple_planning_simulator localization_system_tests test_trajectory_following autoware_rviz_plugins lexus_rx_450h_description

Repository Summary

Checkout URI https://github.com/autocore-ai/autowareauto.git
VCS Type git
VCS Version master
Last Updated 2021-11-02
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)

Packages

Name Version
autoware_auto_algorithm 1.0.0
autoware_auto_common 1.0.0
autoware_auto_geometry 1.0.0
autoware_auto_tf2 1.0.0
covariance_insertion 1.0.0
covariance_insertion_nodes 1.0.0
had_map_utils 1.0.0
lidar_utils 1.0.0
measurement_conversion 1.0.0
motion_model 1.0.0
mpark_variant_vendor 1.0.0
neural_networks 1.0.0
optimization 1.0.0
osqp_interface 1.0.0
reference_tracking_controller 1.0.0
signal_filters 1.0.0
state_estimation 1.0.0
state_estimation_nodes 1.0.0
state_vector 1.0.0
time_utils 1.0.0
tvm_utility 1.0.0
vehicle_constants_manager 1.0.0
controller_common 1.0.0
controller_common_nodes 1.0.0
controller_testing 1.0.0
motion_common 1.0.0
motion_model_testing_simulator 1.0.0
motion_testing 1.0.0
motion_testing_nodes 1.0.0
mpc_controller 1.0.0
mpc_controller_nodes 1.0.0
pure_pursuit 1.0.0
pure_pursuit_nodes 1.0.0
trajectory_follower 1.0.0
trajectory_follower_nodes 1.0.0
lgsvl_interface 1.0.0
ne_raptor_interface 1.0.0
spinnaker_camera_driver 1.0.0
spinnaker_camera_nodes 1.0.0
ssc_interface 1.0.0
vehicle_interface 1.0.0
velodyne_driver 1.0.0
velodyne_nodes 1.0.0
xsens_driver 1.0.0
xsens_nodes 1.0.0
hungarian_assigner 1.0.0
autoware_auto_launch 1.0.0
autoware_demos 1.0.0
scenario_simulator_launch 1.0.0
localization_common 1.0.0
localization_nodes 1.0.0
ndt 1.0.0
ndt_nodes 1.0.0
lanelet2_map_provider 1.0.0
ndt_mapping_nodes 1.0.0
point_cloud_mapping 1.0.0
filter_node_base 1.0.0
off_map_obstacles_filter 1.0.0
off_map_obstacles_filter_nodes 1.0.0
outlier_filter 1.0.0
outlier_filter_nodes 1.0.0
point_cloud_filter_transform_nodes 1.0.0
point_cloud_fusion 1.0.0
point_cloud_fusion_nodes 1.0.0
polygon_remover 1.0.0
polygon_remover_nodes 1.0.0
ray_ground_classifier 1.0.0
ray_ground_classifier_nodes 1.0.0
voxel_grid 1.0.0
voxel_grid_nodes 1.0.0
apollo_lidar_segmentation 0.1.0
apollo_lidar_segmentation_nodes 0.1.0
euclidean_cluster 1.0.0
euclidean_cluster_nodes 1.0.0
ground_truth_detections 1.0.0
tracking 1.0.0
tracking_nodes 1.0.0
tracking_test_framework 1.0.0
behavior_planner 1.0.0
behavior_planner_nodes 1.0.0
lane_planner 1.0.0
lane_planner_nodes 1.0.0
lanelet2_global_planner 1.0.0
lanelet2_global_planner_nodes 1.0.0
object_collision_estimator 1.0.0
object_collision_estimator_nodes 1.0.0
parking_planner 1.0.0
parking_planner_nodes 1.0.0
recordreplay_planner 1.0.0
recordreplay_planner_nodes 1.0.0
trajectory_planner_node_base 1.0.0
trajectory_smoother 1.0.0
trajectory_spoofer 1.0.0
lonely_world_prediction 0.0.1
prediction_nodes 0.0.1
autoware_state_monitor 1.0.0
emergency_handler 1.0.0
autoware_auto_cmake 1.0.0
autoware_auto_create_pkg 1.0.0
autoware_auto_examples 1.0.0
autoware_testing 0.1.0
avp_web_interface 1.0.0
benchmark_tool 1.0.0
benchmark_tool_nodes 1.0.0
cluster_projection_node 1.0.0
detection_2d_visualizer 1.0.0
fake_test_node 1.0.0
gnss_conversion_nodes 1.0.0
joystick_vehicle_interface 1.0.0
joystick_vehicle_interface_nodes 1.0.0
lidar_integration 1.0.0
point_type_adapter 1.0.0
simple_planning_simulator 1.0.0
localization_system_tests 1.0.0
test_trajectory_following 1.0.0
autoware_rviz_plugins 1.0.0
lexus_rx_450h_description 1.0.0

README

Autoware.Auto

Autoware is the world’s first “all-in-one” open-source software for self-driving vehicles hosted under the Autoware Foundation.

The Autoware.Auto project, based on ROS 2, is the next generation successor of the Autoware.AI project, based on ROS 1.

Please see the documentation for all information, including how to build, run, and contribute to Autoware.Auto.

CONTRIBUTING

Contributing

Code of conduct

We welcome contributions from everyone, and to ensure our community stays open and healthy we adhere to the Contributor Covenant, a widely used code of conduct adopted by many other communities such as Linux, Ruby on Rails and GitLab.

Everyone participating in the Autoware.Auto community is expected to follow the code of conduct.

If someone in the community happens to be violating these terms, please let the project leads know, and we will address it as soon as possible.

License

Autoware.Auto is licensed under Apache 2, and thus all contributions will be licensed as such as per clause 5 of the Apache 2 License:

5. Submission of Contributions. Unless You explicitly state otherwise,
   any Contribution intentionally submitted for inclusion in the Work
   by You to the Licensor shall be under the terms and conditions of
   this License, without any additional terms or conditions.
   Notwithstanding the above, nothing herein shall supersede or modify
   the terms of any separate license agreement you may have executed
   with Licensor regarding such Contributions.

Here is an example copyright header to add to the top of a new file:

Copyright 2021 The Autoware Foundation

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

    http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.

This assigns the copyright to The Autoware Foundation. If the contribution is made by individuals or by a company wishing to retain the copyright, then use the following copyright notice at the top of the file:

Copyright [First year of contribution]-[Most recent year of contribution] Most recent author, previous authors

Concrete examples:

  1. If Company X contributes code in 2021, use Copyright 2021 Company X.
  2. If Company X contributes code in 2019 and modifies it in 2021, use Copyright 2019-2021 Company X
  3. If Company X contributes code in 2019 and Company Y modifies it in 2021, use Copyright 2019-2021 Company Y, Company X
  4. If Company X and Company Y contribute in a joint effort, use Copyright 2021 Company X, Company Y

Detailed contribution guidelines

For more detailed information on contributing to Autoware.Auto, including development processes, please see the contributor guidelines in the documentation:

https://autowarefoundation.gitlab.io/autoware.auto/AutowareAuto/contributor-guidelines.html


autowareauto repository

autowareauto repository

autowareauto repository

autowareauto repository

autowareauto repository

autowareauto repository

autowareauto repository

autowareauto repository

autowareauto repository

autowareauto repository

autowareauto repository

autowareauto repository

autowareauto repository

autowareauto repository

autowareauto repository