Pith. sign in

REVIEW

ASPED: An Audio Dataset for Detecting Pedestrians

Not yet reviewed by Pith; the record is open.

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 2309.06531 v2 pith:ABLCDOAI submitted 2023-09-12 eess.AS cs.SD

ASPED: An Audio Dataset for Detecting Pedestrians

classification eess.AS cs.SD
keywords audiotaskapproachesdatasetdetectionpedestriananalysisasped
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
0 comments
read the original abstract

We introduce the new audio analysis task of pedestrian detection and present a new large-scale dataset for this task. While the preliminary results prove the viability of using audio approaches for pedestrian detection, they also show that this challenging task cannot be easily solved with standard approaches.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.