DeepSData
Dataset guide · 机器学习与语料

Point Cloud Curb Detection Dataset

This dataset contains labeled point cloud data captured by a car equipped with a mobile laser scanner, serving as a benchmark for large-scale point cloud curb detection, derived from the KITTI360 dataset.

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机器学习与语料Free to access

Key facts

InstitutionJan-Christoph Schmitz, Adrian Bauer, Anton Kummert
CoverageSee official page
Time span2021
Scale9 files
LicenseLicense pending verification
AccessZenodo

Contents & fields

This dataset contains labeled point cloud data captured by a mobile laser scanner on a vehicle, used for curb detection. It is derived from the KITTI360 dataset and includes 9 files. No field-level description is publicly available on the source page.

Research uses

Suitable for research on curb detection in autonomous driving, 3D point cloud semantic segmentation, and large-scale point cloud processing.

This card was drafted from the source page; institution, coverage, time span, scale, fields and license are subject to the official page (pending human review).

Keywords

point cloudcurb detection3D deep learningKITTI360autonomous drivinglaser scanning

Access & license

License: License pending verification | Free to access

Why this is hard to get on your own

When acquiring large-scale labeled point cloud curb data for training and evaluating 3D deep learning models, high annotation cost and scarcity of public benchmarks are common challenges.

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