{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2020:NAGZCZOUMO2JG7VVJXNS5F2U3X","short_pith_number":"pith:NAGZCZOU","schema_version":"1.0","canonical_sha256":"680d9165d463b4937eb54ddb2e9754ddd44d2ecc5a2605feab47a3dca050a4c7","source":{"kind":"arxiv","id":"2005.04183","version":1},"attestation_state":"computed","paper":{"title":"Stereo Vision for Unmanned Aerial VehicleDetection, Tracking, and Motion Control","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.SY","eess.IV","eess.SY"],"primary_cat":"eess.SP","authors_text":"Guilherme Aramizo Ribeiro, Maria N. Brunet, Mo Rastgaar, Nina Mahmoudian","submitted_at":"2020-05-07T15:21:00Z","abstract_excerpt":"An innovative method of detecting Unmanned Aerial Vehicles (UAVs) is presented. The goal of this study is to develop a robust setup for an autonomous multi-rotor hunter UAV, capable of visually detecting and tracking the intruder UAVs for real-time motion planning. The system consists of two parts: object detection using a stereo camera to generate 3D point cloud data and video tracking applying a Kalman filter for UAV motion modeling. After detection, the hunter can aim and shoot a tethered net at the intruder to neutralize it. The computer vision, motion tracking, and planning algorithms 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":"2005.04183","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SP","submitted_at":"2020-05-07T15:21:00Z","cross_cats_sorted":["cs.SY","eess.IV","eess.SY"],"title_canon_sha256":"a09a1b6d1e1c2cf227b2ad89a6f8ebd1b695318de181e7a06892e06517e6ca33","abstract_canon_sha256":"e4d2e83bf0c34fcd38d0b5df7da6f18e43ea06043bcb764adf52d00ae3b03e5a"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:01:30.435106Z","signature_b64":"ZnTe1Hpk4Jr6dAonw/2t9TvE9hEfIBq9A3np2EfN7/Taoe/RqCqo4+3FujMMfAZOht0clmyVof0b4OyaPmXwCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"680d9165d463b4937eb54ddb2e9754ddd44d2ecc5a2605feab47a3dca050a4c7","last_reissued_at":"2026-07-05T01:01:30.434659Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:01:30.434659Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Stereo Vision for Unmanned Aerial VehicleDetection, Tracking, and Motion Control","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.SY","eess.IV","eess.SY"],"primary_cat":"eess.SP","authors_text":"Guilherme Aramizo Ribeiro, Maria N. Brunet, Mo Rastgaar, Nina Mahmoudian","submitted_at":"2020-05-07T15:21:00Z","abstract_excerpt":"An innovative method of detecting Unmanned Aerial Vehicles (UAVs) is presented. The goal of this study is to develop a robust setup for an autonomous multi-rotor hunter UAV, capable of visually detecting and tracking the intruder UAVs for real-time motion planning. The system consists of two parts: object detection using a stereo camera to generate 3D point cloud data and video tracking applying a Kalman filter for UAV motion modeling. After detection, the hunter can aim and shoot a tethered net at the intruder to neutralize it. The computer vision, motion tracking, and planning algorithms can"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2005.04183","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/2005.04183/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":"2005.04183","created_at":"2026-07-05T01:01:30.434714+00:00"},{"alias_kind":"arxiv_version","alias_value":"2005.04183v1","created_at":"2026-07-05T01:01:30.434714+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2005.04183","created_at":"2026-07-05T01:01:30.434714+00:00"},{"alias_kind":"pith_short_12","alias_value":"NAGZCZOUMO2J","created_at":"2026-07-05T01:01:30.434714+00:00"},{"alias_kind":"pith_short_16","alias_value":"NAGZCZOUMO2JG7VV","created_at":"2026-07-05T01:01:30.434714+00:00"},{"alias_kind":"pith_short_8","alias_value":"NAGZCZOU","created_at":"2026-07-05T01:01:30.434714+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/NAGZCZOUMO2JG7VVJXNS5F2U3X","json":"https://pith.science/pith/NAGZCZOUMO2JG7VVJXNS5F2U3X.json","graph_json":"https://pith.science/api/pith-number/NAGZCZOUMO2JG7VVJXNS5F2U3X/graph.json","events_json":"https://pith.science/api/pith-number/NAGZCZOUMO2JG7VVJXNS5F2U3X/events.json","paper":"https://pith.science/paper/NAGZCZOU"},"agent_actions":{"view_html":"https://pith.science/pith/NAGZCZOUMO2JG7VVJXNS5F2U3X","download_json":"https://pith.science/pith/NAGZCZOUMO2JG7VVJXNS5F2U3X.json","view_paper":"https://pith.science/paper/NAGZCZOU","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2005.04183&json=true","fetch_graph":"https://pith.science/api/pith-number/NAGZCZOUMO2JG7VVJXNS5F2U3X/graph.json","fetch_events":"https://pith.science/api/pith-number/NAGZCZOUMO2JG7VVJXNS5F2U3X/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/NAGZCZOUMO2JG7VVJXNS5F2U3X/action/timestamp_anchor","attest_storage":"https://pith.science/pith/NAGZCZOUMO2JG7VVJXNS5F2U3X/action/storage_attestation","attest_author":"https://pith.science/pith/NAGZCZOUMO2JG7VVJXNS5F2U3X/action/author_attestation","sign_citation":"https://pith.science/pith/NAGZCZOUMO2JG7VVJXNS5F2U3X/action/citation_signature","submit_replication":"https://pith.science/pith/NAGZCZOUMO2JG7VVJXNS5F2U3X/action/replication_record"}},"created_at":"2026-07-05T01:01:30.434714+00:00","updated_at":"2026-07-05T01:01:30.434714+00:00"}