{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2014:E72MC5WTI6263HRDMYZAGX5LP5","short_pith_number":"pith:E72MC5WT","schema_version":"1.0","canonical_sha256":"27f4c176d347b5ed9e236632035fab7f42496ac39c13dbfbd162342f41c8decf","source":{"kind":"arxiv","id":"1411.7113","version":1},"attestation_state":"computed","paper":{"title":"Real time Detection of Lane Markers in Urban Streets","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.RO"],"primary_cat":"cs.CV","authors_text":"Mohamed Aly","submitted_at":"2014-11-26T05:50:02Z","abstract_excerpt":"We present a robust and real time approach to lane marker detection in urban streets. It is based on generating a top view of the road, filtering using selective oriented Gaussian filters, using RANSAC line fitting to give initial guesses to a new and fast RANSAC algorithm for fitting Bezier Splines, which is then followed by a post-processing step. Our algorithm can detect all lanes in still images of the street in various conditions, while operating at a rate of 50 Hz and achieving comparable results to previous techniques."},"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":"1411.7113","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2014-11-26T05:50:02Z","cross_cats_sorted":["cs.RO"],"title_canon_sha256":"7226463709f544a0a34979162d648272691fd2965bfd787c1d5eea5e55284aa8","abstract_canon_sha256":"e07e810da0d49de7e471a389700cb135cd75655190b7c0e3043e825720261993"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:32:45.312608Z","signature_b64":"dt/77lPSG6XkCXYLbawH1ewMQ6qbbTFsFZnaTIFO6Er1uHg01A3i1pRbFMYsxYLoD0Qq/wkVDGgRy/yzonYFBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"27f4c176d347b5ed9e236632035fab7f42496ac39c13dbfbd162342f41c8decf","last_reissued_at":"2026-05-18T02:32:45.312004Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:32:45.312004Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Real time Detection of Lane Markers in Urban Streets","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.RO"],"primary_cat":"cs.CV","authors_text":"Mohamed Aly","submitted_at":"2014-11-26T05:50:02Z","abstract_excerpt":"We present a robust and real time approach to lane marker detection in urban streets. It is based on generating a top view of the road, filtering using selective oriented Gaussian filters, using RANSAC line fitting to give initial guesses to a new and fast RANSAC algorithm for fitting Bezier Splines, which is then followed by a post-processing step. Our algorithm can detect all lanes in still images of the street in various conditions, while operating at a rate of 50 Hz and achieving comparable results to previous techniques."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1411.7113","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":"1411.7113","created_at":"2026-05-18T02:32:45.312095+00:00"},{"alias_kind":"arxiv_version","alias_value":"1411.7113v1","created_at":"2026-05-18T02:32:45.312095+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1411.7113","created_at":"2026-05-18T02:32:45.312095+00:00"},{"alias_kind":"pith_short_12","alias_value":"E72MC5WTI626","created_at":"2026-05-18T12:28:25.294606+00:00"},{"alias_kind":"pith_short_16","alias_value":"E72MC5WTI6263HRD","created_at":"2026-05-18T12:28:25.294606+00:00"},{"alias_kind":"pith_short_8","alias_value":"E72MC5WT","created_at":"2026-05-18T12:28:25.294606+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/E72MC5WTI6263HRDMYZAGX5LP5","json":"https://pith.science/pith/E72MC5WTI6263HRDMYZAGX5LP5.json","graph_json":"https://pith.science/api/pith-number/E72MC5WTI6263HRDMYZAGX5LP5/graph.json","events_json":"https://pith.science/api/pith-number/E72MC5WTI6263HRDMYZAGX5LP5/events.json","paper":"https://pith.science/paper/E72MC5WT"},"agent_actions":{"view_html":"https://pith.science/pith/E72MC5WTI6263HRDMYZAGX5LP5","download_json":"https://pith.science/pith/E72MC5WTI6263HRDMYZAGX5LP5.json","view_paper":"https://pith.science/paper/E72MC5WT","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1411.7113&json=true","fetch_graph":"https://pith.science/api/pith-number/E72MC5WTI6263HRDMYZAGX5LP5/graph.json","fetch_events":"https://pith.science/api/pith-number/E72MC5WTI6263HRDMYZAGX5LP5/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/E72MC5WTI6263HRDMYZAGX5LP5/action/timestamp_anchor","attest_storage":"https://pith.science/pith/E72MC5WTI6263HRDMYZAGX5LP5/action/storage_attestation","attest_author":"https://pith.science/pith/E72MC5WTI6263HRDMYZAGX5LP5/action/author_attestation","sign_citation":"https://pith.science/pith/E72MC5WTI6263HRDMYZAGX5LP5/action/citation_signature","submit_replication":"https://pith.science/pith/E72MC5WTI6263HRDMYZAGX5LP5/action/replication_record"}},"created_at":"2026-05-18T02:32:45.312095+00:00","updated_at":"2026-05-18T02:32:45.312095+00:00"}