{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2021:Y5DM3ZAAXMNVLI7Y73VVPET4OQ","short_pith_number":"pith:Y5DM3ZAA","schema_version":"1.0","canonical_sha256":"c746cde400bb1b55a3f8feeb57927c742318993c47d7de4021c47bd29e2afbfc","source":{"kind":"arxiv","id":"2102.11585","version":3},"attestation_state":"computed","paper":{"title":"ROAD: The ROad event Awareness Dataset for Autonomous Driving","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.RO"],"primary_cat":"cs.CV","authors_text":"Andrew Bradley, Fabio Cuzzolin, Farzad Yousefi, Giuseppe Di Gironimo, Gurkirt Singh, Jacob Culley, Jordan Omokeowa, Kossar Jeddisaravi, Manuele Di Maio, Reza Javanmard Alitappeh, Salman Khan, Stanislao Grazioso, Stephen Akrigg, Suman Saha, Tom Nicholson, Valentina Fontana","submitted_at":"2021-02-23T09:48:56Z","abstract_excerpt":"Humans drive in a holistic fashion which entails, in particular, understanding dynamic road events and their evolution. Injecting these capabilities in autonomous vehicles can thus take situational awareness and decision making closer to human-level performance. To this purpose, we introduce the ROad event Awareness Dataset (ROAD) for Autonomous Driving, to our knowledge the first of its kind. ROAD is designed to test an autonomous vehicle's ability to detect road events, defined as triplets composed by an active agent, the action(s) it performs and the corresponding scene locations. ROAD comp"},"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":"2102.11585","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-02-23T09:48:56Z","cross_cats_sorted":["cs.AI","cs.RO"],"title_canon_sha256":"64e9e592d4165b0c2ce7364aa873c64c3faae2727943b42185eebb63cc3565b1","abstract_canon_sha256":"7f711bb60a44bcc46c9a048e2fb9d457787d12fadcee3f002c19a8d83567f6f9"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:10:34.928667Z","signature_b64":"VQqvibkHDWkbpI5Ftn1+FGVXCrGF6FSW3oWKA+HOjetDj7NrqIqJV07hikJWDOoCNeEMF9Dgt+pKQqPcQFkbAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c746cde400bb1b55a3f8feeb57927c742318993c47d7de4021c47bd29e2afbfc","last_reissued_at":"2026-07-05T04:10:34.928172Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:10:34.928172Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"ROAD: The ROad event Awareness Dataset for Autonomous Driving","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.RO"],"primary_cat":"cs.CV","authors_text":"Andrew Bradley, Fabio Cuzzolin, Farzad Yousefi, Giuseppe Di Gironimo, Gurkirt Singh, Jacob Culley, Jordan Omokeowa, Kossar Jeddisaravi, Manuele Di Maio, Reza Javanmard Alitappeh, Salman Khan, Stanislao Grazioso, Stephen Akrigg, Suman Saha, Tom Nicholson, Valentina Fontana","submitted_at":"2021-02-23T09:48:56Z","abstract_excerpt":"Humans drive in a holistic fashion which entails, in particular, understanding dynamic road events and their evolution. Injecting these capabilities in autonomous vehicles can thus take situational awareness and decision making closer to human-level performance. To this purpose, we introduce the ROad event Awareness Dataset (ROAD) for Autonomous Driving, to our knowledge the first of its kind. ROAD is designed to test an autonomous vehicle's ability to detect road events, defined as triplets composed by an active agent, the action(s) it performs and the corresponding scene locations. ROAD comp"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2102.11585","kind":"arxiv","version":3},"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/2102.11585/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":"2102.11585","created_at":"2026-07-05T04:10:34.928232+00:00"},{"alias_kind":"arxiv_version","alias_value":"2102.11585v3","created_at":"2026-07-05T04:10:34.928232+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2102.11585","created_at":"2026-07-05T04:10:34.928232+00:00"},{"alias_kind":"pith_short_12","alias_value":"Y5DM3ZAAXMNV","created_at":"2026-07-05T04:10:34.928232+00:00"},{"alias_kind":"pith_short_16","alias_value":"Y5DM3ZAAXMNVLI7Y","created_at":"2026-07-05T04:10:34.928232+00:00"},{"alias_kind":"pith_short_8","alias_value":"Y5DM3ZAA","created_at":"2026-07-05T04:10:34.928232+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/Y5DM3ZAAXMNVLI7Y73VVPET4OQ","json":"https://pith.science/pith/Y5DM3ZAAXMNVLI7Y73VVPET4OQ.json","graph_json":"https://pith.science/api/pith-number/Y5DM3ZAAXMNVLI7Y73VVPET4OQ/graph.json","events_json":"https://pith.science/api/pith-number/Y5DM3ZAAXMNVLI7Y73VVPET4OQ/events.json","paper":"https://pith.science/paper/Y5DM3ZAA"},"agent_actions":{"view_html":"https://pith.science/pith/Y5DM3ZAAXMNVLI7Y73VVPET4OQ","download_json":"https://pith.science/pith/Y5DM3ZAAXMNVLI7Y73VVPET4OQ.json","view_paper":"https://pith.science/paper/Y5DM3ZAA","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2102.11585&json=true","fetch_graph":"https://pith.science/api/pith-number/Y5DM3ZAAXMNVLI7Y73VVPET4OQ/graph.json","fetch_events":"https://pith.science/api/pith-number/Y5DM3ZAAXMNVLI7Y73VVPET4OQ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/Y5DM3ZAAXMNVLI7Y73VVPET4OQ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/Y5DM3ZAAXMNVLI7Y73VVPET4OQ/action/storage_attestation","attest_author":"https://pith.science/pith/Y5DM3ZAAXMNVLI7Y73VVPET4OQ/action/author_attestation","sign_citation":"https://pith.science/pith/Y5DM3ZAAXMNVLI7Y73VVPET4OQ/action/citation_signature","submit_replication":"https://pith.science/pith/Y5DM3ZAAXMNVLI7Y73VVPET4OQ/action/replication_record"}},"created_at":"2026-07-05T04:10:34.928232+00:00","updated_at":"2026-07-05T04:10:34.928232+00:00"}