{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:XWG4EWSIJOUEACEAHDWQN5YNYX","short_pith_number":"pith:XWG4EWSI","schema_version":"1.0","canonical_sha256":"bd8dc25a484ba840088038ed06f70dc5c097e0c375ccd0d7352d39416de75685","source":{"kind":"arxiv","id":"1707.08095","version":1},"attestation_state":"computed","paper":{"title":"Line-Circle: A Geometric Filter for Single Camera Edge-Based Object Detection","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"cs.RO","authors_text":"Seyed Amir Tafrishi, Vahid E. Kandjani","submitted_at":"2017-07-25T17:19:42Z","abstract_excerpt":"This paper presents a state-of-the-art approach in object detection for being applied in future SLAM problems. Although, many SLAM methods are proposed to create suitable autonomy for mobile robots namely ground vehicles, they still face overconfidence and large computations during entrance to immense spaces with many landmarks. In particular, they suffer from impractical applications via sole reliance on the limited sensors like camera. Proposed method claims that unmanned ground vehicles without having huge amount of database for object definition and highly advance prediction parameters can"},"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":"1707.08095","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2017-07-25T17:19:42Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"8c9b23ed8c56910019dac9aca6a92bb00e40ce10ace68f966e602cf50322ed97","abstract_canon_sha256":"cba3cbc40b65d36e580e650dd78e68bb2519a94723fd9a0d5d4bcf99e418b8ce"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:04:08.258480Z","signature_b64":"Fn5PSVBE/tQ31XQ/Ndmx/AJ8CHiT4v2WbM30he8BHPKQI9prGZ4e551S4zakf9gt2t3uQ0QY0AyWhx9/FrjeDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bd8dc25a484ba840088038ed06f70dc5c097e0c375ccd0d7352d39416de75685","last_reissued_at":"2026-05-18T00:04:08.257836Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:04:08.257836Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Line-Circle: A Geometric Filter for Single Camera Edge-Based Object Detection","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"cs.RO","authors_text":"Seyed Amir Tafrishi, Vahid E. Kandjani","submitted_at":"2017-07-25T17:19:42Z","abstract_excerpt":"This paper presents a state-of-the-art approach in object detection for being applied in future SLAM problems. Although, many SLAM methods are proposed to create suitable autonomy for mobile robots namely ground vehicles, they still face overconfidence and large computations during entrance to immense spaces with many landmarks. In particular, they suffer from impractical applications via sole reliance on the limited sensors like camera. Proposed method claims that unmanned ground vehicles without having huge amount of database for object definition and highly advance prediction parameters can"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1707.08095","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":"1707.08095","created_at":"2026-05-18T00:04:08.257929+00:00"},{"alias_kind":"arxiv_version","alias_value":"1707.08095v1","created_at":"2026-05-18T00:04:08.257929+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1707.08095","created_at":"2026-05-18T00:04:08.257929+00:00"},{"alias_kind":"pith_short_12","alias_value":"XWG4EWSIJOUE","created_at":"2026-05-18T12:31:56.362134+00:00"},{"alias_kind":"pith_short_16","alias_value":"XWG4EWSIJOUEACEA","created_at":"2026-05-18T12:31:56.362134+00:00"},{"alias_kind":"pith_short_8","alias_value":"XWG4EWSI","created_at":"2026-05-18T12:31:56.362134+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/XWG4EWSIJOUEACEAHDWQN5YNYX","json":"https://pith.science/pith/XWG4EWSIJOUEACEAHDWQN5YNYX.json","graph_json":"https://pith.science/api/pith-number/XWG4EWSIJOUEACEAHDWQN5YNYX/graph.json","events_json":"https://pith.science/api/pith-number/XWG4EWSIJOUEACEAHDWQN5YNYX/events.json","paper":"https://pith.science/paper/XWG4EWSI"},"agent_actions":{"view_html":"https://pith.science/pith/XWG4EWSIJOUEACEAHDWQN5YNYX","download_json":"https://pith.science/pith/XWG4EWSIJOUEACEAHDWQN5YNYX.json","view_paper":"https://pith.science/paper/XWG4EWSI","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1707.08095&json=true","fetch_graph":"https://pith.science/api/pith-number/XWG4EWSIJOUEACEAHDWQN5YNYX/graph.json","fetch_events":"https://pith.science/api/pith-number/XWG4EWSIJOUEACEAHDWQN5YNYX/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/XWG4EWSIJOUEACEAHDWQN5YNYX/action/timestamp_anchor","attest_storage":"https://pith.science/pith/XWG4EWSIJOUEACEAHDWQN5YNYX/action/storage_attestation","attest_author":"https://pith.science/pith/XWG4EWSIJOUEACEAHDWQN5YNYX/action/author_attestation","sign_citation":"https://pith.science/pith/XWG4EWSIJOUEACEAHDWQN5YNYX/action/citation_signature","submit_replication":"https://pith.science/pith/XWG4EWSIJOUEACEAHDWQN5YNYX/action/replication_record"}},"created_at":"2026-05-18T00:04:08.257929+00:00","updated_at":"2026-05-18T00:04:08.257929+00:00"}