Änderungen
Auf 6. November 2023 um 05:24:44 UTC, Benedikt Schwab:
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Beschreibung von A2D2 ROS Preparer wurde von
The *A2D2 ROS Preparer* 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.
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 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.
geändert
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2 | "author": "[{\"author\": \"Benedikt Schwab\", \"author_email\": | 2 | "author": "[{\"author\": \"Benedikt Schwab\", \"author_email\": | ||
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45 | "maintainer": "[{\"Maintainer Email\": \"benedikt.schwab@tum.de\", | 45 | "maintainer": "[{\"Maintainer Email\": \"benedikt.schwab@tum.de\", | ||
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n | 50 | "metadata_modified": "2023-11-06T05:15:45.333202", | n | 50 | "metadata_modified": "2023-11-06T05:24:44.492902", |
51 | "name": "a2d2-ros-preparer", | 51 | "name": "a2d2-ros-preparer", | ||
n | 52 | "notes": "The *A2D2 ROS Preparer* converts the [Audi Autonomous | n | 52 | "notes": "The *A2D2 ROS Preparer* is a software tool that converts |
53 | Driving Dataset (A2D2)](https://www.a2d2.audi/a2d2/en.html) to a | 53 | the [Audi Autonomous Driving Dataset | ||
54 | (A2D2)](https://www.a2d2.audi/a2d2/en.html) to a [Robot Operating | ||||
54 | [Robot Operating System](https://www.ros.org/) (ROS) bag. The [sensor | 55 | System](https://www.ros.org/) (ROS) bag. The [sensor | ||
55 | 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 | ||
56 | vehicle includes five LiDARs, six cameras, bus signals and is | 57 | vehicle includes five LiDARs, six cameras, bus signals and is | ||
57 | structured in a dataset-specific form. The preparation for ROS enables | 58 | structured in a dataset-specific form. The preparation for ROS enables | ||
58 | the development of subsequent processes and algorithms to be more | 59 | the development of subsequent processes and algorithms to be more | ||
59 | generic, as ROS is a widely used robotics middleware. Moreover, ROS | 60 | generic, as ROS is a widely used robotics middleware. Moreover, ROS | ||
60 | offers a variety of software libraries and tools that can be employed | 61 | offers a variety of software libraries and tools that can be employed | ||
n | 61 | directly.\r\n\r\n", | n | 62 | directly.\r\n\r\nWithin the [SAVeNoW research |
63 | project](https://savenow.de), the *A2D2 ROS Preparer* is used for | ||||
64 | executing a simultaneous localization and mapping (SLAM) algorithm on | ||||
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