Pith. sign in

REVIEW

CARLA-BSP: a simulated dataset with pedestrians

Not yet reviewed by Pith; the record is open.

Re-run · record.json Download PDF Read on arXiv ↗

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2305.00204 v1 pith:P7SXICNK submitted 2023-04-29 cs.CV

Maciej Wielgosz , Antonio M. López , Muhammad Naveed Riaz This is my paper · ORCID
classification cs.CV
keywords datasetframeworkpedestriansposearcaneautoencodingbaselinecarla
verification ladder T0 review T1 audit T2 compute T3 formal

Signed reviews

No signed human review yet.

0 comments
read the original abstract

We present a sample dataset featuring pedestrians generated using the ARCANE framework, a new framework for generating datasets in CARLA (0.9.13). We provide use cases for pedestrian detection, autoencoding, pose estimation, and pose lifting. We also showcase baseline results. For more information, visit https://project-arcane.eu/.

Discussion (0). Continue with ORCID to comment.

Pith tools