Änderungen
Auf 6. November 2023 um 05:29:46 UTC, Benedikt Schwab:
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Beschreibung von A2D2 ROS Preparer wurde von
The *A2D2 ROS Preparer* is a software tool that converts the [Audi Autonomous Driving Dataset (A2D2)](https://www.a2d2.audi/a2d2/en.html) to a [Robot Operating System](https://www.ros.org/) (ROS) bag. The [sensor setup](https://www.a2d2.audi/a2d2/en/sensor-setup.html) of the A2D2 vehicle includes five LiDARs, six cameras, bus signals and is structured in a dataset-specific form. The preparation for ROS enables the development of subsequent processes and algorithms to be more generic, as ROS is a widely used robotics middleware. Moreover, ROS offers a variety of software libraries and tools that can be employed directly. Within the [SAVeNoW research project](https://savenow.de), the *A2D2 ROS Preparer* is used for executing a simultaneous localization and mapping (SLAM) algorithm on the vehicle dataset.
inThe *A2D2 ROS Preparer* is a software tool that converts the [Audi Autonomous Driving Dataset (A2D2)](https://www.a2d2.audi/a2d2/en.html) to a [Robot Operating System](https://www.ros.org/) (ROS) bag. The [sensor setup](https://www.a2d2.audi/a2d2/en/sensor-setup.html) of the A2D2 vehicle includes five LiDARs, six cameras, bus signals and is structured in a dataset-specific form. The preparation for ROS enables the development of subsequent processes and algorithms to be more universally applicable, as ROS is a widely used robotics middleware. Moreover, ROS offers a variety of software libraries and tools that can be employed directly. Within the [SAVeNoW research project](https://savenow.de), the *A2D2 ROS Preparer* is used for executing a simultaneous localization and mapping (SLAM) algorithm on the vehicle dataset.
geändert
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2 | "author": "[{\"author\": \"Benedikt Schwab\", \"author_email\": | 2 | "author": "[{\"author\": \"Benedikt Schwab\", \"author_email\": | ||
3 | \"benedikt.schwab@tum.de\"}]", | 3 | \"benedikt.schwab@tum.de\"}]", | ||
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43 | "license_title": "Apache License 2.0", | 43 | "license_title": "Apache License 2.0", | ||
44 | "license_url": "https://www.apache.org/licenses/LICENSE-2.0", | 44 | "license_url": "https://www.apache.org/licenses/LICENSE-2.0", | ||
45 | "maintainer": "[{\"Maintainer Email\": \"benedikt.schwab@tum.de\", | 45 | "maintainer": "[{\"Maintainer Email\": \"benedikt.schwab@tum.de\", | ||
46 | \"maintainer\": \"Benedikt Schwab\", \"phone\": \"\", \"role\": | 46 | \"maintainer\": \"Benedikt Schwab\", \"phone\": \"\", \"role\": | ||
47 | \"\"}]", | 47 | \"\"}]", | ||
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n | 50 | "metadata_modified": "2023-11-06T05:26:30.698061", | n | 50 | "metadata_modified": "2023-11-06T05:29:46.515581", |
51 | "name": "a2d2-ros-preparer", | 51 | "name": "a2d2-ros-preparer", | ||
52 | "notes": "The *A2D2 ROS Preparer* is a software tool that converts | 52 | "notes": "The *A2D2 ROS Preparer* is a software tool that converts | ||
53 | the [Audi Autonomous Driving Dataset | 53 | the [Audi Autonomous Driving Dataset | ||
54 | (A2D2)](https://www.a2d2.audi/a2d2/en.html) to a [Robot Operating | 54 | (A2D2)](https://www.a2d2.audi/a2d2/en.html) to a [Robot Operating | ||
55 | System](https://www.ros.org/) (ROS) bag. The [sensor | 55 | System](https://www.ros.org/) (ROS) bag. The [sensor | ||
56 | setup](https://www.a2d2.audi/a2d2/en/sensor-setup.html) of the A2D2 | 56 | setup](https://www.a2d2.audi/a2d2/en/sensor-setup.html) of the A2D2 | ||
57 | vehicle includes five LiDARs, six cameras, bus signals and is | 57 | vehicle includes five LiDARs, six cameras, bus signals and is | ||
58 | structured in a dataset-specific form. The preparation for ROS enables | 58 | structured in a dataset-specific form. The preparation for ROS enables | ||
59 | the development of subsequent processes and algorithms to be more | 59 | the development of subsequent processes and algorithms to be more | ||
t | 60 | generic, as ROS is a widely used robotics middleware. Moreover, ROS | t | 60 | universally applicable, as ROS is a widely used robotics middleware. |
61 | offers a variety of software libraries and tools that can be employed | 61 | Moreover, ROS offers a variety of software libraries and tools that | ||
62 | directly.\r\n\r\nWithin the [SAVeNoW research | 62 | can be employed directly.\r\n\r\nWithin the [SAVeNoW research | ||
63 | project](https://savenow.de), the *A2D2 ROS Preparer* is used for | 63 | project](https://savenow.de), the *A2D2 ROS Preparer* is used for | ||
64 | executing a simultaneous localization and mapping (SLAM) algorithm on | 64 | executing a simultaneous localization and mapping (SLAM) algorithm on | ||
65 | the vehicle dataset. ", | 65 | the vehicle dataset. ", | ||
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130 | "state": "active", | 130 | "state": "active", | ||
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132 | { | 132 | { | ||
133 | "display_name": "ROS", | 133 | "display_name": "ROS", | ||
134 | "id": "9d7230eb-0048-4ef4-8169-5fa014218e36", | 134 | "id": "9d7230eb-0048-4ef4-8169-5fa014218e36", | ||
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146 | ], | 146 | ], | ||
147 | "title": "A2D2 ROS Preparer", | 147 | "title": "A2D2 ROS Preparer", | ||
148 | "type": "dataset", | 148 | "type": "dataset", | ||
149 | "url": null, | 149 | "url": null, | ||
150 | "version": "" | 150 | "version": "" | ||
151 | } | 151 | } |