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Unsupervised Llamas Lane Markers
2D Box
Urban
|Autonomous Driving
|...
许可协议: Unknown

Overview

The Unsupervised Llamas dataset was annotated by creating high definition maps for automated driving including lane markers based on Lidar. The automated vehicle can be localized against these maps and the lane markers are projected into the camera frame. The 3D projection is optimized by minimizing the difference between already detected markers in the image and projected ones. Further improvements can likely be achieved by using better detectors, optimizing difference metrics, and adding some temporal consistency.
Over 100,000 annotated images
Annotations of over 100 meters
Resolution of 1276 x 717 pixels

数据概要
数据格式
image,
数据量
--
文件大小
--
发布方
Behrendt,Karsten and Soussan,Ryan
| 数据量 -- | 大小 --
Unsupervised Llamas Lane Markers
2D Box
Urban | Autonomous Driving
许可协议: Unknown

Overview

The Unsupervised Llamas dataset was annotated by creating high definition maps for automated driving including lane markers based on Lidar. The automated vehicle can be localized against these maps and the lane markers are projected into the camera frame. The 3D projection is optimized by minimizing the difference between already detected markers in the image and projected ones. Further improvements can likely be achieved by using better detectors, optimizing difference metrics, and adding some temporal consistency.
Over 100,000 annotated images
Annotations of over 100 meters
Resolution of 1276 x 717 pixels

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