{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:KK3CC3ZBHH6LYQ6OXKLZF2CFO6","short_pith_number":"pith:KK3CC3ZB","schema_version":"1.0","canonical_sha256":"52b6216f2139fcbc43ceba9792e845779703d1e8f78054fb44fd0e12b1bdcb4c","source":{"kind":"arxiv","id":"1806.05984","version":1},"attestation_state":"computed","paper":{"title":"Ego-Lane Analysis System (ELAS): Dataset and Algorithms","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Alberto F. De Souza, Edilson De Aguiar, Rodrigo F. Berriel, Thiago Oliveira-Santos","submitted_at":"2018-06-15T14:02:44Z","abstract_excerpt":"Decreasing costs of vision sensors and advances in embedded hardware boosted lane related research detection, estimation, and tracking in the past two decades. The interest in this topic has increased even more with the demand for advanced driver assistance systems (ADAS) and self-driving cars. Although extensively studied independently, there is still need for studies that propose a combined solution for the multiple problems related to the ego-lane, such as lane departure warning (LDW), lane change detection, lane marking type (LMT) classification, road markings detection and classification,"},"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":"1806.05984","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-06-15T14:02:44Z","cross_cats_sorted":[],"title_canon_sha256":"34f20b49935e720864f3df60d6bd9f3c62226e1c3fc6092ff4d7216f2bf9978b","abstract_canon_sha256":"47d5e9c47e989abda300394413b1a37cb7b84467ee65b1450511d26265da853d"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:13:08.819135Z","signature_b64":"HpuP9k5GfL9jHLTBYBA+/GIr+DOOrSdeMnXNIw9CJI/Aa/23yKMsn0/eBvSUUApFEd5HvldnpdcTDkOMN8nNDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"52b6216f2139fcbc43ceba9792e845779703d1e8f78054fb44fd0e12b1bdcb4c","last_reissued_at":"2026-05-18T00:13:08.818560Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:13:08.818560Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Ego-Lane Analysis System (ELAS): Dataset and Algorithms","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Alberto F. De Souza, Edilson De Aguiar, Rodrigo F. Berriel, Thiago Oliveira-Santos","submitted_at":"2018-06-15T14:02:44Z","abstract_excerpt":"Decreasing costs of vision sensors and advances in embedded hardware boosted lane related research detection, estimation, and tracking in the past two decades. The interest in this topic has increased even more with the demand for advanced driver assistance systems (ADAS) and self-driving cars. Although extensively studied independently, there is still need for studies that propose a combined solution for the multiple problems related to the ego-lane, such as lane departure warning (LDW), lane change detection, lane marking type (LMT) classification, road markings detection and classification,"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1806.05984","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":""},"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":"1806.05984","created_at":"2026-05-18T00:13:08.818654+00:00"},{"alias_kind":"arxiv_version","alias_value":"1806.05984v1","created_at":"2026-05-18T00:13:08.818654+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1806.05984","created_at":"2026-05-18T00:13:08.818654+00:00"},{"alias_kind":"pith_short_12","alias_value":"KK3CC3ZBHH6L","created_at":"2026-05-18T12:32:33.847187+00:00"},{"alias_kind":"pith_short_16","alias_value":"KK3CC3ZBHH6LYQ6O","created_at":"2026-05-18T12:32:33.847187+00:00"},{"alias_kind":"pith_short_8","alias_value":"KK3CC3ZB","created_at":"2026-05-18T12:32:33.847187+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/KK3CC3ZBHH6LYQ6OXKLZF2CFO6","json":"https://pith.science/pith/KK3CC3ZBHH6LYQ6OXKLZF2CFO6.json","graph_json":"https://pith.science/api/pith-number/KK3CC3ZBHH6LYQ6OXKLZF2CFO6/graph.json","events_json":"https://pith.science/api/pith-number/KK3CC3ZBHH6LYQ6OXKLZF2CFO6/events.json","paper":"https://pith.science/paper/KK3CC3ZB"},"agent_actions":{"view_html":"https://pith.science/pith/KK3CC3ZBHH6LYQ6OXKLZF2CFO6","download_json":"https://pith.science/pith/KK3CC3ZBHH6LYQ6OXKLZF2CFO6.json","view_paper":"https://pith.science/paper/KK3CC3ZB","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1806.05984&json=true","fetch_graph":"https://pith.science/api/pith-number/KK3CC3ZBHH6LYQ6OXKLZF2CFO6/graph.json","fetch_events":"https://pith.science/api/pith-number/KK3CC3ZBHH6LYQ6OXKLZF2CFO6/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/KK3CC3ZBHH6LYQ6OXKLZF2CFO6/action/timestamp_anchor","attest_storage":"https://pith.science/pith/KK3CC3ZBHH6LYQ6OXKLZF2CFO6/action/storage_attestation","attest_author":"https://pith.science/pith/KK3CC3ZBHH6LYQ6OXKLZF2CFO6/action/author_attestation","sign_citation":"https://pith.science/pith/KK3CC3ZBHH6LYQ6OXKLZF2CFO6/action/citation_signature","submit_replication":"https://pith.science/pith/KK3CC3ZBHH6LYQ6OXKLZF2CFO6/action/replication_record"}},"created_at":"2026-05-18T00:13:08.818654+00:00","updated_at":"2026-05-18T00:13:08.818654+00:00"}