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Autoware

masterdevelop
Build StatusBuild Status

Autoware is the world's first "all-in-one" open-source software for self-driving vehicles. The capabilities of Autoware are primarily well-suited for urban cities, but highways, freeways, mesomountaineous regions, and geofenced areas can be also covered. The code base of Autoware is protected by the Apache 2 License. Please use it at your own discretion. For safe use, we provide a ROSBAG-based simulation environment for those who do not own real autonomous vehicles. If you plan to use Autoware with real autonomous vehicles, please formulate safety measures and assessment of risk before field testing.

You may refer to Autoware Wiki for Users Guide and Developers Guide.

What Is Autoware

Autoware Overview

Autoware provides a rich set of self-driving modules composed of sensing, computing, and actuation capabilities. An overview of those capabilities is described here. Keywords include Localization, Mapping, Object Detection & Tracking, Traffic Light Recognition, Mission & Motion Planning, Trajectory Generation, Lane Detection & Selection, Vehicle Control, Sensor Fusion, Cameras, LiDARs, RADARs, Deep Learning, Rule-based System, Connected Navigation, Logging, Virtual Reality, and so on.

Free manuals can be also found at Autoware-Manuals. You are encouraged to contribute to the maintenance of these manuals. Thank you for your cooperation!

Getting Started

Autoware Demo

Recommended System Specifications

  • Number of CPU cores: 8
  • RAM size: 32GB
  • Storage size: 64GB+

Users Guide

  1. Installation
    1. Docker
    2. Source
  2. Demo
  3. Field Test
  4. Simulation Test
  5. Videos

Developers Guide

  1. Contribution Rules (Must Read)
  2. Overview
  3. Specification

Research Papers for Citation

  1. S. Kato, S. Tokunaga, Y. Maruyama, S. Maeda, M. Hirabayashi, Y. Kitsukawa, A. Monrroy, T. Ando, Y. Fujii, and T. Azumi,``Autoware on Board: Enabling Autonomous Vehicles with Embedded Systems,'' In Proceedings of the 9th ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS2018), pp. 287-296, 2018. Link

  2. S. Kato, E. Takeuchi, Y. Ishiguro, Y. Ninomiya, K. Takeda, and T. Hamada. ``An Open Approach to Autonomous Vehicles,'' IEEE Micro, Vol. 35, No. 6, pp. 60-69, 2015. Link

Cloud Services

Autoware Online

You may test Autoware at Autoware Online. No need to install the Autoware repository to your local environment.

Automan

You may annotate and train your ROSBAG data using your web browser through Automan. The trained models can be used for deep neural network algorithms in Autoware, such as SSD and Yolo.

ROSBAG STORE

You may download a number of test and simulation data sets from Tier IV's ROSBAG STORE. Note that free accounts would not allow you to access image data due to privacy matters.

Map Tools

You may create 3D map data through Tier IV's Map Tools. The 3D map data used in Autoware are composed of point cloud structure data and vector feature data.

License

Autoware is provided under the Apache 2 License.

Contact

Autoware Developers Slack Team

Autoware Discourse

Please see the Support Guidelines for more details about getting help.

About

Open-source software for self-driving vehicles

www.autoware.ai/

Resources

Readme
Apache-2.0 license

Code of conduct

Code of conduct

Contributing

Contributing
Activity

Stars

0 stars

Watchers

0 watching

Forks

0 forks
Report repository

Releases

Packages

Contributors

Languages

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GitHub - algint/autoware: Open-source software for self-driving vehicles · GitHub
Skip to content
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Autoware
masterdevelop
Build StatusBuild Status
Autoware is the world's first "all-in-one" open-source software for self-driving vehicles. The capabilities of Autoware are primarily well-suited for urban cities, but highways, freeways, mesomountaineous regions, and geofenced areas can be also covered. The code base of Autoware is protected by the Apache 2 License. Please use it at your own discretion. For safe use, we provide a ROSBAG-based simulation environment for those who do not own real autonomous vehicles. If you plan to use Autoware with real autonomous vehicles, please formulate safety measures and assessment of risk before field testing.
You may refer to Autoware Wiki for Users Guide and Developers Guide.
What Is Autoware
Autoware Overview
Autoware provides a rich set of self-driving modules composed of sensing, computing, and actuation capabilities. An overview of those capabilities is described here. Keywords include Localization, Mapping, Object Detection & Tracking, Traffic Light Recognition, Mission & Motion Planning, Trajectory Generation, Lane Detection & Selection, Vehicle Control, Sensor Fusion, Cameras, LiDARs, RADARs, Deep Learning, Rule-based System, Connected Navigation, Logging, Virtual Reality, and so on.
Free manuals can be also found at Autoware-Manuals. You are encouraged to contribute to the maintenance of these manuals. Thank you for your cooperation!
Getting Started
Autoware Demo
Recommended System Specifications
  • Number of CPU cores: 8
  • RAM size: 32GB
  • Storage size: 64GB+
Users Guide
  1. Installation
    1. Docker
    2. Source
  2. Demo
  3. Field Test
  4. Simulation Test
  5. Videos
Developers Guide
  1. Contribution Rules (Must Read)
  2. Overview
  3. Specification
Research Papers for Citation
  1. S. Kato, S. Tokunaga, Y. Maruyama, S. Maeda, M. Hirabayashi, Y. Kitsukawa, A. Monrroy, T. Ando, Y. Fujii, and T. Azumi,``Autoware on Board: Enabling Autonomous Vehicles with Embedded Systems,'' In Proceedings of the 9th ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS2018), pp. 287-296, 2018. Link
  2. S. Kato, E. Takeuchi, Y. Ishiguro, Y. Ninomiya, K. Takeda, and T. Hamada. ``An Open Approach to Autonomous Vehicles,'' IEEE Micro, Vol. 35, No. 6, pp. 60-69, 2015. Link
Cloud Services
Autoware Online
You may test Autoware at Autoware Online. No need to install the Autoware repository to your local environment.
Automan
You may annotate and train your ROSBAG data using your web browser through Automan. The trained models can be used for deep neural network algorithms in Autoware, such as SSD and Yolo.
ROSBAG STORE
You may download a number of test and simulation data sets from Tier IV's ROSBAG STORE. Note that free accounts would not allow you to access image data due to privacy matters.
Map Tools
You may create 3D map data through Tier IV's Map Tools. The 3D map data used in Autoware are composed of point cloud structure data and vector feature data.
License
Autoware is provided under the Apache 2 License.
Contact
Autoware Developers Slack Team
Autoware Discourse
Please see the Support Guidelines for more details about getting help.
About
Open-source software for self-driving vehicles
www.autoware.ai/
Resources
Readme
Apache-2.0 license
Code of conduct
Code of conduct
Contributing
Contributing
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
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GitHub - algint/autoware: Open-source software for self-driving vehicles · GitHub
Skip to content
BranchesTags
Repository files navigation
Autoware
masterdevelop
Build StatusBuild Status
Autoware is the world's first "all-in-one" open-source software for self-driving vehicles. The capabilities of Autoware are primarily well-suited for urban cities, but highways, freeways, mesomountaineous regions, and geofenced areas can be also covered. The code base of Autoware is protected by the Apache 2 License. Please use it at your own discretion. For safe use, we provide a ROSBAG-based simulation environment for those who do not own real autonomous vehicles. If you plan to use Autoware with real autonomous vehicles, please formulate safety measures and assessment of risk before field testing.
You may refer to Autoware Wiki for Users Guide and Developers Guide.
What Is Autoware
Autoware Overview
Autoware provides a rich set of self-driving modules composed of sensing, computing, and actuation capabilities. An overview of those capabilities is described here. Keywords include Localization, Mapping, Object Detection & Tracking, Traffic Light Recognition, Mission & Motion Planning, Trajectory Generation, Lane Detection & Selection, Vehicle Control, Sensor Fusion, Cameras, LiDARs, RADARs, Deep Learning, Rule-based System, Connected Navigation, Logging, Virtual Reality, and so on.
Free manuals can be also found at Autoware-Manuals. You are encouraged to contribute to the maintenance of these manuals. Thank you for your cooperation!
Getting Started
Autoware Demo
Recommended System Specifications
  • Number of CPU cores: 8
  • RAM size: 32GB
  • Storage size: 64GB+
Users Guide
  1. Installation
    1. Docker
    2. Source
  2. Demo
  3. Field Test
  4. Simulation Test
  5. Videos
Developers Guide
  1. Contribution Rules (Must Read)
  2. Overview
  3. Specification
Research Papers for Citation
  1. S. Kato, S. Tokunaga, Y. Maruyama, S. Maeda, M. Hirabayashi, Y. Kitsukawa, A. Monrroy, T. Ando, Y. Fujii, and T. Azumi,``Autoware on Board: Enabling Autonomous Vehicles with Embedded Systems,'' In Proceedings of the 9th ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS2018), pp. 287-296, 2018. Link
  2. S. Kato, E. Takeuchi, Y. Ishiguro, Y. Ninomiya, K. Takeda, and T. Hamada. ``An Open Approach to Autonomous Vehicles,'' IEEE Micro, Vol. 35, No. 6, pp. 60-69, 2015. Link
Cloud Services
Autoware Online
You may test Autoware at Autoware Online. No need to install the Autoware repository to your local environment.
Automan
You may annotate and train your ROSBAG data using your web browser through Automan. The trained models can be used for deep neural network algorithms in Autoware, such as SSD and Yolo.
ROSBAG STORE
You may download a number of test and simulation data sets from Tier IV's ROSBAG STORE. Note that free accounts would not allow you to access image data due to privacy matters.
Map Tools
You may create 3D map data through Tier IV's Map Tools. The 3D map data used in Autoware are composed of point cloud structure data and vector feature data.
License
Autoware is provided under the Apache 2 License.
Contact
Autoware Developers Slack Team
Autoware Discourse
Please see the Support Guidelines for more details about getting help.
About
Open-source software for self-driving vehicles
www.autoware.ai/
Resources
Readme
Apache-2.0 license
Code of conduct
Code of conduct
Contributing
Contributing
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
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})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - algint/autoware: Open-source software for self-driving vehicles · GitHub
Skip to content
BranchesTags
Repository files navigation
Autoware
masterdevelop
Build StatusBuild Status
Autoware is the world's first "all-in-one" open-source software for self-driving vehicles. The capabilities of Autoware are primarily well-suited for urban cities, but highways, freeways, mesomountaineous regions, and geofenced areas can be also covered. The code base of Autoware is protected by the Apache 2 License. Please use it at your own discretion. For safe use, we provide a ROSBAG-based simulation environment for those who do not own real autonomous vehicles. If you plan to use Autoware with real autonomous vehicles, please formulate safety measures and assessment of risk before field testing.
You may refer to Autoware Wiki for Users Guide and Developers Guide.
What Is Autoware
Autoware Overview
Autoware provides a rich set of self-driving modules composed of sensing, computing, and actuation capabilities. An overview of those capabilities is described here. Keywords include Localization, Mapping, Object Detection & Tracking, Traffic Light Recognition, Mission & Motion Planning, Trajectory Generation, Lane Detection & Selection, Vehicle Control, Sensor Fusion, Cameras, LiDARs, RADARs, Deep Learning, Rule-based System, Connected Navigation, Logging, Virtual Reality, and so on.
Free manuals can be also found at Autoware-Manuals. You are encouraged to contribute to the maintenance of these manuals. Thank you for your cooperation!
Getting Started
Autoware Demo
Recommended System Specifications
  • Number of CPU cores: 8
  • RAM size: 32GB
  • Storage size: 64GB+
Users Guide
  1. Installation
    1. Docker
    2. Source
  2. Demo
  3. Field Test
  4. Simulation Test
  5. Videos
Developers Guide
  1. Contribution Rules (Must Read)
  2. Overview
  3. Specification
Research Papers for Citation
  1. S. Kato, S. Tokunaga, Y. Maruyama, S. Maeda, M. Hirabayashi, Y. Kitsukawa, A. Monrroy, T. Ando, Y. Fujii, and T. Azumi,``Autoware on Board: Enabling Autonomous Vehicles with Embedded Systems,'' In Proceedings of the 9th ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS2018), pp. 287-296, 2018. Link
  2. S. Kato, E. Takeuchi, Y. Ishiguro, Y. Ninomiya, K. Takeda, and T. Hamada. ``An Open Approach to Autonomous Vehicles,'' IEEE Micro, Vol. 35, No. 6, pp. 60-69, 2015. Link
Cloud Services
Autoware Online
You may test Autoware at Autoware Online. No need to install the Autoware repository to your local environment.
Automan
You may annotate and train your ROSBAG data using your web browser through Automan. The trained models can be used for deep neural network algorithms in Autoware, such as SSD and Yolo.
ROSBAG STORE
You may download a number of test and simulation data sets from Tier IV's ROSBAG STORE. Note that free accounts would not allow you to access image data due to privacy matters.
Map Tools
You may create 3D map data through Tier IV's Map Tools. The 3D map data used in Autoware are composed of point cloud structure data and vector feature data.
License
Autoware is provided under the Apache 2 License.
Contact
Autoware Developers Slack Team
Autoware Discourse
Please see the Support Guidelines for more details about getting help.
About
Open-source software for self-driving vehicles
www.autoware.ai/
Resources
Readme
Apache-2.0 license
Code of conduct
Code of conduct
Contributing
Contributing
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
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})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '
GitHub - algint/autoware: Open-source software for self-driving vehicles · GitHub
Skip to content
BranchesTags
Repository files navigation
Autoware
masterdevelop
Build StatusBuild Status
Autoware is the world's first "all-in-one" open-source software for self-driving vehicles. The capabilities of Autoware are primarily well-suited for urban cities, but highways, freeways, mesomountaineous regions, and geofenced areas can be also covered. The code base of Autoware is protected by the Apache 2 License. Please use it at your own discretion. For safe use, we provide a ROSBAG-based simulation environment for those who do not own real autonomous vehicles. If you plan to use Autoware with real autonomous vehicles, please formulate safety measures and assessment of risk before field testing.
You may refer to Autoware Wiki for Users Guide and Developers Guide.
What Is Autoware
Autoware Overview
Autoware provides a rich set of self-driving modules composed of sensing, computing, and actuation capabilities. An overview of those capabilities is described here. Keywords include Localization, Mapping, Object Detection & Tracking, Traffic Light Recognition, Mission & Motion Planning, Trajectory Generation, Lane Detection & Selection, Vehicle Control, Sensor Fusion, Cameras, LiDARs, RADARs, Deep Learning, Rule-based System, Connected Navigation, Logging, Virtual Reality, and so on.
Free manuals can be also found at Autoware-Manuals. You are encouraged to contribute to the maintenance of these manuals. Thank you for your cooperation!
Getting Started
Autoware Demo
Recommended System Specifications
  • Number of CPU cores: 8
  • RAM size: 32GB
  • Storage size: 64GB+
Users Guide
  1. Installation
    1. Docker
    2. Source
  2. Demo
  3. Field Test
  4. Simulation Test
  5. Videos
Developers Guide
  1. Contribution Rules (Must Read)
  2. Overview
  3. Specification
Research Papers for Citation
  1. S. Kato, S. Tokunaga, Y. Maruyama, S. Maeda, M. Hirabayashi, Y. Kitsukawa, A. Monrroy, T. Ando, Y. Fujii, and T. Azumi,``Autoware on Board: Enabling Autonomous Vehicles with Embedded Systems,'' In Proceedings of the 9th ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS2018), pp. 287-296, 2018. Link
  2. S. Kato, E. Takeuchi, Y. Ishiguro, Y. Ninomiya, K. Takeda, and T. Hamada. ``An Open Approach to Autonomous Vehicles,'' IEEE Micro, Vol. 35, No. 6, pp. 60-69, 2015. Link
Cloud Services
Autoware Online
You may test Autoware at Autoware Online. No need to install the Autoware repository to your local environment.
Automan
You may annotate and train your ROSBAG data using your web browser through Automan. The trained models can be used for deep neural network algorithms in Autoware, such as SSD and Yolo.
ROSBAG STORE
You may download a number of test and simulation data sets from Tier IV's ROSBAG STORE. Note that free accounts would not allow you to access image data due to privacy matters.
Map Tools
You may create 3D map data through Tier IV's Map Tools. The 3D map data used in Autoware are composed of point cloud structure data and vector feature data.
License
Autoware is provided under the Apache 2 License.
Contact
Autoware Developers Slack Team
Autoware Discourse
Please see the Support Guidelines for more details about getting help.
About
Open-source software for self-driving vehicles
www.autoware.ai/
Resources
Readme
Apache-2.0 license
Code of conduct
Code of conduct
Contributing
Contributing
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Auto-enable theater mode on YouTube
(function() {
function tryTheater() {
var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]');
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})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - algint/autoware: Open-source software for self-driving vehicles · GitHub
Skip to content
BranchesTags
Repository files navigation
Autoware
masterdevelop
Build StatusBuild Status
Autoware is the world's first "all-in-one" open-source software for self-driving vehicles. The capabilities of Autoware are primarily well-suited for urban cities, but highways, freeways, mesomountaineous regions, and geofenced areas can be also covered. The code base of Autoware is protected by the Apache 2 License. Please use it at your own discretion. For safe use, we provide a ROSBAG-based simulation environment for those who do not own real autonomous vehicles. If you plan to use Autoware with real autonomous vehicles, please formulate safety measures and assessment of risk before field testing.
You may refer to Autoware Wiki for Users Guide and Developers Guide.
What Is Autoware
Autoware Overview
Autoware provides a rich set of self-driving modules composed of sensing, computing, and actuation capabilities. An overview of those capabilities is described here. Keywords include Localization, Mapping, Object Detection & Tracking, Traffic Light Recognition, Mission & Motion Planning, Trajectory Generation, Lane Detection & Selection, Vehicle Control, Sensor Fusion, Cameras, LiDARs, RADARs, Deep Learning, Rule-based System, Connected Navigation, Logging, Virtual Reality, and so on.
Free manuals can be also found at Autoware-Manuals. You are encouraged to contribute to the maintenance of these manuals. Thank you for your cooperation!
Getting Started
Autoware Demo
Recommended System Specifications
  • Number of CPU cores: 8
  • RAM size: 32GB
  • Storage size: 64GB+
Users Guide
  1. Installation
    1. Docker
    2. Source
  2. Demo
  3. Field Test
  4. Simulation Test
  5. Videos
Developers Guide
  1. Contribution Rules (Must Read)
  2. Overview
  3. Specification
Research Papers for Citation
  1. S. Kato, S. Tokunaga, Y. Maruyama, S. Maeda, M. Hirabayashi, Y. Kitsukawa, A. Monrroy, T. Ando, Y. Fujii, and T. Azumi,``Autoware on Board: Enabling Autonomous Vehicles with Embedded Systems,'' In Proceedings of the 9th ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS2018), pp. 287-296, 2018. Link
  2. S. Kato, E. Takeuchi, Y. Ishiguro, Y. Ninomiya, K. Takeda, and T. Hamada. ``An Open Approach to Autonomous Vehicles,'' IEEE Micro, Vol. 35, No. 6, pp. 60-69, 2015. Link
Cloud Services
Autoware Online
You may test Autoware at Autoware Online. No need to install the Autoware repository to your local environment.
Automan
You may annotate and train your ROSBAG data using your web browser through Automan. The trained models can be used for deep neural network algorithms in Autoware, such as SSD and Yolo.
ROSBAG STORE
You may download a number of test and simulation data sets from Tier IV's ROSBAG STORE. Note that free accounts would not allow you to access image data due to privacy matters.
Map Tools
You may create 3D map data through Tier IV's Map Tools. The 3D map data used in Autoware are composed of point cloud structure data and vector feature data.
License
Autoware is provided under the Apache 2 License.
Contact
Autoware Developers Slack Team
Autoware Discourse
Please see the Support Guidelines for more details about getting help.
About
Open-source software for self-driving vehicles
www.autoware.ai/
Resources
Readme
Apache-2.0 license
Code of conduct
Code of conduct
Contributing
Contributing
Activity
Stars
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Watchers
0 watching
Forks
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try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - algint/autoware: Open-source software for self-driving vehicles · GitHub
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Autoware
masterdevelop
Build StatusBuild Status
Autoware is the world's first "all-in-one" open-source software for self-driving vehicles. The capabilities of Autoware are primarily well-suited for urban cities, but highways, freeways, mesomountaineous regions, and geofenced areas can be also covered. The code base of Autoware is protected by the Apache 2 License. Please use it at your own discretion. For safe use, we provide a ROSBAG-based simulation environment for those who do not own real autonomous vehicles. If you plan to use Autoware with real autonomous vehicles, please formulate safety measures and assessment of risk before field testing.
You may refer to Autoware Wiki for Users Guide and Developers Guide.
What Is Autoware
Autoware Overview
Autoware provides a rich set of self-driving modules composed of sensing, computing, and actuation capabilities. An overview of those capabilities is described here. Keywords include Localization, Mapping, Object Detection & Tracking, Traffic Light Recognition, Mission & Motion Planning, Trajectory Generation, Lane Detection & Selection, Vehicle Control, Sensor Fusion, Cameras, LiDARs, RADARs, Deep Learning, Rule-based System, Connected Navigation, Logging, Virtual Reality, and so on.
Free manuals can be also found at Autoware-Manuals. You are encouraged to contribute to the maintenance of these manuals. Thank you for your cooperation!
Getting Started
Autoware Demo
Recommended System Specifications
  • Number of CPU cores: 8
  • RAM size: 32GB
  • Storage size: 64GB+
Users Guide
  1. Installation
    1. Docker
    2. Source
  2. Demo
  3. Field Test
  4. Simulation Test
  5. Videos
Developers Guide
  1. Contribution Rules (Must Read)
  2. Overview
  3. Specification
Research Papers for Citation
  1. S. Kato, S. Tokunaga, Y. Maruyama, S. Maeda, M. Hirabayashi, Y. Kitsukawa, A. Monrroy, T. Ando, Y. Fujii, and T. Azumi,``Autoware on Board: Enabling Autonomous Vehicles with Embedded Systems,'' In Proceedings of the 9th ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS2018), pp. 287-296, 2018. Link
  2. S. Kato, E. Takeuchi, Y. Ishiguro, Y. Ninomiya, K. Takeda, and T. Hamada. ``An Open Approach to Autonomous Vehicles,'' IEEE Micro, Vol. 35, No. 6, pp. 60-69, 2015. Link
Cloud Services
Autoware Online
You may test Autoware at Autoware Online. No need to install the Autoware repository to your local environment.
Automan
You may annotate and train your ROSBAG data using your web browser through Automan. The trained models can be used for deep neural network algorithms in Autoware, such as SSD and Yolo.
ROSBAG STORE
You may download a number of test and simulation data sets from Tier IV's ROSBAG STORE. Note that free accounts would not allow you to access image data due to privacy matters.
Map Tools
You may create 3D map data through Tier IV's Map Tools. The 3D map data used in Autoware are composed of point cloud structure data and vector feature data.
License
Autoware is provided under the Apache 2 License.
Contact
Autoware Developers Slack Team
Autoware Discourse
Please see the Support Guidelines for more details about getting help.
About
Open-source software for self-driving vehicles
www.autoware.ai/
Resources
Readme
Apache-2.0 license
Code of conduct
Code of conduct
Contributing
Contributing
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
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Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Universal Dark Mode - works on any site
(function() {
var enabled = true;
function applyDarkMode() {
if (!enabled) return;
// Create style element if it doesn't exist
var style = document.getElementById('universal-dark-mode-style');
if (!style) {
style = document.createElement('style');
style.id = 'universal-dark-mode-style';
document.head.appendChild(style);
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// Dark mode CSS - inverts colors but preserves images/video
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background: #1a1a2e !important;
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/* Restore images, videos, iframes, canvas */
img, video, iframe, canvas, svg, picture, [style*="background-image"] {
filter: invert(1) hue-rotate(180deg) !important;
}
/* Preserve specific elements that should not be inverted */
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[data-theme="light"], [data-theme="light"],
.ace_editor, .ace_editor *,
.CodeMirror, .CodeMirror *,
.monaco-editor, .monaco-editor *,
.markdown-body pre, .markdown-body pre *,
.highlight, .highlight *,
pre code, pre code * {
filter: none !important;
}
/* Fix common UI elements */
.modal, .popup, .dropdown-menu, .tooltip, .popover {
filter: invert(1) hue-rotate(180deg) !important;
background: #2d2d44 !important;
border-color: #444 !important;
}
/* Scrollbars */
::-webkit-scrollbar { background: #1a1a2e !important; }
::-webkit-scrollbar-thumb { background: #444 !important; }
::-webkit-scrollbar-thumb:hover { background: #555 !important; }
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::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }
::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }
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var style = document.getElementById('universal-dark-mode-style');
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// Apply on load
applyDarkMode();
// Re-apply on dynamic content
var observer = new MutationObserver(function(mutations) {
if (enabled && !document.getElementById('universal-dark-mode-style')) {
applyDarkMode();
}
});
observer.observe(document.head, { childList: true });
console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');
})();
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();
GitHub - algint/autoware: Open-source software for self-driving vehicles · GitHub
Skip to content
BranchesTags
Repository files navigation
Autoware
masterdevelop
Build StatusBuild Status
Autoware is the world's first "all-in-one" open-source software for self-driving vehicles. The capabilities of Autoware are primarily well-suited for urban cities, but highways, freeways, mesomountaineous regions, and geofenced areas can be also covered. The code base of Autoware is protected by the Apache 2 License. Please use it at your own discretion. For safe use, we provide a ROSBAG-based simulation environment for those who do not own real autonomous vehicles. If you plan to use Autoware with real autonomous vehicles, please formulate safety measures and assessment of risk before field testing.
You may refer to Autoware Wiki for Users Guide and Developers Guide.
What Is Autoware
Autoware Overview
Autoware provides a rich set of self-driving modules composed of sensing, computing, and actuation capabilities. An overview of those capabilities is described here. Keywords include Localization, Mapping, Object Detection & Tracking, Traffic Light Recognition, Mission & Motion Planning, Trajectory Generation, Lane Detection & Selection, Vehicle Control, Sensor Fusion, Cameras, LiDARs, RADARs, Deep Learning, Rule-based System, Connected Navigation, Logging, Virtual Reality, and so on.
Free manuals can be also found at Autoware-Manuals. You are encouraged to contribute to the maintenance of these manuals. Thank you for your cooperation!
Getting Started
Autoware Demo
Recommended System Specifications
  • Number of CPU cores: 8
  • RAM size: 32GB
  • Storage size: 64GB+
Users Guide
  1. Installation
    1. Docker
    2. Source
  2. Demo
  3. Field Test
  4. Simulation Test
  5. Videos
Developers Guide
  1. Contribution Rules (Must Read)
  2. Overview
  3. Specification
Research Papers for Citation
  1. S. Kato, S. Tokunaga, Y. Maruyama, S. Maeda, M. Hirabayashi, Y. Kitsukawa, A. Monrroy, T. Ando, Y. Fujii, and T. Azumi,``Autoware on Board: Enabling Autonomous Vehicles with Embedded Systems,'' In Proceedings of the 9th ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS2018), pp. 287-296, 2018. Link
  2. S. Kato, E. Takeuchi, Y. Ishiguro, Y. Ninomiya, K. Takeda, and T. Hamada. ``An Open Approach to Autonomous Vehicles,'' IEEE Micro, Vol. 35, No. 6, pp. 60-69, 2015. Link
Cloud Services
Autoware Online
You may test Autoware at Autoware Online. No need to install the Autoware repository to your local environment.
Automan
You may annotate and train your ROSBAG data using your web browser through Automan. The trained models can be used for deep neural network algorithms in Autoware, such as SSD and Yolo.
ROSBAG STORE
You may download a number of test and simulation data sets from Tier IV's ROSBAG STORE. Note that free accounts would not allow you to access image data due to privacy matters.
Map Tools
You may create 3D map data through Tier IV's Map Tools. The 3D map data used in Autoware are composed of point cloud structure data and vector feature data.
License
Autoware is provided under the Apache 2 License.
Contact
Autoware Developers Slack Team
Autoware Discourse
Please see the Support Guidelines for more details about getting help.
About
Open-source software for self-driving vehicles
www.autoware.ai/
Resources
Readme
Apache-2.0 license
Code of conduct
Code of conduct
Contributing
Contributing
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages