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github.com/autowarefoundation/autoware_universe @0.51.0

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repository ↗ · DeepWiki ↗ · release 0.51.0 ↗ · + Follow
16,904 symbols 52,333 edges 3,011 files 1,929 documented · 11% updated 2d ago0.51.0 · 2026-05-02★ 1,690203 open issues

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Functions 13,800 Types & classes 3,103 Endpoints 1
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README

Autoware Universe

Welcome to Autoware Universe

Autoware Universe serves as a foundational pillar within the Autoware ecosystem, playing a critical role in enhancing the core functionalities of autonomous driving technologies. This repository is a pivotal element of the Autoware Core/Universe concept, managing a wide array of packages that significantly extend the capabilities of autonomous vehicles.

autoware_universe_front

Getting Started

To dive into the vast world of Autoware and understand how Autoware Universe fits into the bigger picture, we recommend starting with the Autoware Documentation. This resource provides a thorough overview of the Autoware ecosystem, guiding you through its components, functionalities, and how to get started with development.

Explore Autoware Universe documentation

For those looking to explore the specifics of Autoware Universe components, the Autoware Universe Documentation, deployed with MKDocs, offers detailed insights.

Code Coverage Metrics

Below table shows the coverage rate of entire Autoware Universe and sub-components respectively.

Entire Project Coverage

codecov

Component-wise Coverage

You can check more details by clicking the badge and navigating the codecov website.

Component Coverage
Common codecov
Control codecov
Evaluator codecov
Launch TBD
Localization codecov
Map codecov
Perception codecov
Planning codecov
Sensing codecov
Simulator codecov
System codecov
Vehicle codecov

Core symbols most depended-on inside this repo

Shape

Method 10,164
Function 3,636
Class 2,887
Enum 216
Route 1

Languages

C++95%
Python5%

Modules by API surface

sensing/autoware_pointcloud_preprocessor/src/downsample_filter/robin_hood.h149 symbols
planning/behavior_path_planner/autoware_behavior_path_static_obstacle_avoidance_module/src/utils.cpp79 symbols
planning/behavior_path_planner/autoware_behavior_path_start_planner_module/src/start_planner_module.cpp73 symbols
planning/behavior_path_planner/autoware_behavior_path_planner_common/include/autoware/behavior_path_planner_common/interface/scene_module_interface.hpp64 symbols
sensing/autoware_pointcloud_preprocessor/src/outlier_filter/polar_voxel_outlier_filter_node.cpp62 symbols
planning/behavior_path_planner/autoware_behavior_path_planner_common/src/utils/utils.cpp59 symbols
simulator/autoware_carla_interface/src/autoware_carla_interface/modules/carla_data_provider.py54 symbols
planning/behavior_path_planner/autoware_behavior_path_static_obstacle_avoidance_module/include/autoware/behavior_path_static_obstacle_avoidance_module/helper.hpp54 symbols
planning/behavior_path_planner/autoware_behavior_path_lane_change_module/src/scene.cpp54 symbols
planning/autoware_path_optimizer/src/mpt_optimizer.cpp53 symbols
vehicle/autoware_accel_brake_map_calibrator/src/accel_brake_map_calibrator_node.cpp52 symbols
planning/behavior_path_planner/autoware_behavior_path_dynamic_obstacle_avoidance_module/src/scene.cpp52 symbols

For agents

$ claude mcp add autoware_universe \
  -- python -m otcore.mcp_server <graph>

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