{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2022:GNZPOSC5DIONE7IZ5TDACYB5XP","short_pith_number":"pith:GNZPOSC5","schema_version":"1.0","canonical_sha256":"3372f7485d1a1cd27d19ecc601603dbbfabd4c058636042f8ac20a3d100e10b7","source":{"kind":"arxiv","id":"2203.13608","version":1},"attestation_state":"computed","paper":{"title":"Rope3D: TheRoadside Perception Dataset for Autonomous Driving and Monocular 3D Object Detection Task","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Errui Ding, Guangjie Wang, Hanyu Li, Mao Shu, Xiaoqing Ye, Xiao Tan, Yifeng Shi, Yingying Li","submitted_at":"2022-03-25T12:13:23Z","abstract_excerpt":"Concurrent perception datasets for autonomous driving are mainly limited to frontal view with sensors mounted on the vehicle. None of them is designed for the overlooked roadside perception tasks. On the other hand, the data captured from roadside cameras have strengths over frontal-view data, which is believed to facilitate a safer and more intelligent autonomous driving system. To accelerate the progress of roadside perception, we present the first high-diversity challenging Roadside Perception 3D dataset- Rope3D from a novel view. The dataset consists of 50k images and over 1.5M 3D objects "},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2203.13608","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2022-03-25T12:13:23Z","cross_cats_sorted":[],"title_canon_sha256":"c54d354b1e631581e127a786dcfabef3701903bd90dc218e9f8b77fd6c17ff47","abstract_canon_sha256":"8f2a5b2e1db200effa0b298a0d0f991eda09cfeb27d42b2b37f59963a7ac7730"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:08:34.516743Z","signature_b64":"VRPcYHN3IafpstiRJOQ79l5E55U8/F/vr7inaQvXLA+j1jiGC7728oQWXAUTQ7A3NEBazOXj8JIvkvzaYGkKBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3372f7485d1a1cd27d19ecc601603dbbfabd4c058636042f8ac20a3d100e10b7","last_reissued_at":"2026-07-05T04:08:34.516396Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:08:34.516396Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Rope3D: TheRoadside Perception Dataset for Autonomous Driving and Monocular 3D Object Detection Task","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Errui Ding, Guangjie Wang, Hanyu Li, Mao Shu, Xiaoqing Ye, Xiao Tan, Yifeng Shi, Yingying Li","submitted_at":"2022-03-25T12:13:23Z","abstract_excerpt":"Concurrent perception datasets for autonomous driving are mainly limited to frontal view with sensors mounted on the vehicle. None of them is designed for the overlooked roadside perception tasks. On the other hand, the data captured from roadside cameras have strengths over frontal-view data, which is believed to facilitate a safer and more intelligent autonomous driving system. To accelerate the progress of roadside perception, we present the first high-diversity challenging Roadside Perception 3D dataset- Rope3D from a novel view. The dataset consists of 50k images and over 1.5M 3D objects "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2203.13608","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2203.13608/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2203.13608","created_at":"2026-07-05T04:08:34.516451+00:00"},{"alias_kind":"arxiv_version","alias_value":"2203.13608v1","created_at":"2026-07-05T04:08:34.516451+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2203.13608","created_at":"2026-07-05T04:08:34.516451+00:00"},{"alias_kind":"pith_short_12","alias_value":"GNZPOSC5DION","created_at":"2026-07-05T04:08:34.516451+00:00"},{"alias_kind":"pith_short_16","alias_value":"GNZPOSC5DIONE7IZ","created_at":"2026-07-05T04:08:34.516451+00:00"},{"alias_kind":"pith_short_8","alias_value":"GNZPOSC5","created_at":"2026-07-05T04:08:34.516451+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/GNZPOSC5DIONE7IZ5TDACYB5XP","json":"https://pith.science/pith/GNZPOSC5DIONE7IZ5TDACYB5XP.json","graph_json":"https://pith.science/api/pith-number/GNZPOSC5DIONE7IZ5TDACYB5XP/graph.json","events_json":"https://pith.science/api/pith-number/GNZPOSC5DIONE7IZ5TDACYB5XP/events.json","paper":"https://pith.science/paper/GNZPOSC5"},"agent_actions":{"view_html":"https://pith.science/pith/GNZPOSC5DIONE7IZ5TDACYB5XP","download_json":"https://pith.science/pith/GNZPOSC5DIONE7IZ5TDACYB5XP.json","view_paper":"https://pith.science/paper/GNZPOSC5","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2203.13608&json=true","fetch_graph":"https://pith.science/api/pith-number/GNZPOSC5DIONE7IZ5TDACYB5XP/graph.json","fetch_events":"https://pith.science/api/pith-number/GNZPOSC5DIONE7IZ5TDACYB5XP/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/GNZPOSC5DIONE7IZ5TDACYB5XP/action/timestamp_anchor","attest_storage":"https://pith.science/pith/GNZPOSC5DIONE7IZ5TDACYB5XP/action/storage_attestation","attest_author":"https://pith.science/pith/GNZPOSC5DIONE7IZ5TDACYB5XP/action/author_attestation","sign_citation":"https://pith.science/pith/GNZPOSC5DIONE7IZ5TDACYB5XP/action/citation_signature","submit_replication":"https://pith.science/pith/GNZPOSC5DIONE7IZ5TDACYB5XP/action/replication_record"}},"created_at":"2026-07-05T04:08:34.516451+00:00","updated_at":"2026-07-05T04:08:34.516451+00:00"}