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Oakland 3D
2D Box
Fusion Box
Urban
|Autonomous Driving
|...
许可协议: Unknown

Overview

This repository contains labeled 3-D point cloud laser data collected from a moving platform in a urban environment. Data are provided for research purposes.The data was collected using Navlab11 equiped with side looking SICK LMS laser scanners and used in push-broom. The data was collected around CMU campus in Oakland, Pittsburgh, PA.Data are provided in ascii format: x y z label confidence, one point per line, space as separator. Corresponding vrml files (.wrl) and label counts (.stats) are also provided. The data set is made of two subset (part2, part3) with each its own local reference frame, where each file contains 100,000 3-D points. The training/validation and testing data was filtered and labeled remapped from 44 into 5 labels. Full dataset contains 17 files, 1.6 millions 3-D pts, 44 labels.Contextual Classification with Functional Max-Margin Markov Networks. Daniel Munoz, J. Andrew (Drew) Bagnell, Nicolas Vandapel, and Martial Hebert. CVPR 2009Update: ICRA 2011 version 2 (7 labels, ICRA 2011)

数据概要
数据格式
point cloud, image,
数据量
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文件大小
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| 数据量 -- | 大小 --
Oakland 3D
2D Box Fusion Box
Urban | Autonomous Driving
许可协议: Unknown

Overview

This repository contains labeled 3-D point cloud laser data collected from a moving platform in a urban environment. Data are provided for research purposes.The data was collected using Navlab11 equiped with side looking SICK LMS laser scanners and used in push-broom. The data was collected around CMU campus in Oakland, Pittsburgh, PA.Data are provided in ascii format: x y z label confidence, one point per line, space as separator. Corresponding vrml files (.wrl) and label counts (.stats) are also provided. The data set is made of two subset (part2, part3) with each its own local reference frame, where each file contains 100,000 3-D points. The training/validation and testing data was filtered and labeled remapped from 44 into 5 labels. Full dataset contains 17 files, 1.6 millions 3-D pts, 44 labels.Contextual Classification with Functional Max-Margin Markov Networks. Daniel Munoz, J. Andrew (Drew) Bagnell, Nicolas Vandapel, and Martial Hebert. CVPR 2009Update: ICRA 2011 version 2 (7 labels, ICRA 2011)

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