DeepSData
Dataset guide · Machine learning & corpora

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.

AccessFree to access
LicenceLicense statement is still being checked
ProducerJan-Christoph Schmitz, Adrian Bauer, Anton Kummert

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Machine learning & corporaFree to access

Key facts

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

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.

Information comes from the source page. Please check that page for current details and terms.

Keywords

point cloudcurb detection3D deep learningKITTI360autonomous drivinglaser scanning

Access and licence

Licence: License statement is still being checked · Source page
Rights details not yet verified
| 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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