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update simulation dataset
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Dataset | ||
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Livox Simu-dataset v1.0 `CN <https://livox-wiki-cn.readthedocs.io/zh_CN/latest/data_summary/dataset.html>`_ | ||
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**Introduction:** | ||
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Livox Simu-dataset contains point cloud data and corresponding annotations generated based on the autonomous driving simulator, and supports 3D object detection and point cloud semantic segmentation tasks. The sensor contains 5 Horizon lidars and 1 Tele-15 lidar. The entire dataset contains 14,445 frames of 360° Lidar point cloud data, 3D bounding box annotations for 6 types of objects, and semantic annotations for 14 categories. The simulated scene contains a variety of vehicle and pedestrian models and corresponding traffic flow. In addition, a variety of traffic lights, traffic signs, partitions (isolated railings, green belts, isolated piers, etc.), trees and buildings make the entire scene closer to the actual driving scene. | ||
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**Simulated scene:** | ||
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.. image:: ../image/simulation_dataset_1.png | ||
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**Annotation demo:** | ||
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.. image:: ../image/simulation_dataset_2.png | ||
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**Data format and download link:** | ||
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`Readme <https://terra-1-g.djicdn.com/65c028cd298f4669a7f0e40e50ba1131/Download/Avia/readme_CN.md>`_ | ||
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`Dataset <https://terra-1-g.djicdn.com/65c028cd298f4669a7f0e40e50ba1131/Download/dataset/simu_data.zip>`_ | ||
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`Data rosbag <https://terra-1-g.djicdn.com/65c028cd298f4669a7f0e40e50ba1131/Download/dataset/simu_data_rosbag.zip>`_ | ||
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**Object detection demo:** | ||
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`Livox_detection_simu <https://github.com/Livox-SDK/livox_detection_simu>`_ |
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