{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:6BJ3XDIO4AZA6ERCMD5IU4CCKU","short_pith_number":"pith:6BJ3XDIO","schema_version":"1.0","canonical_sha256":"f053bb8d0ee0320f122260fa8a70425519dd75a90f7e177bcfeb57e5fab24273","source":{"kind":"arxiv","id":"1708.05884","version":4},"attestation_state":"computed","paper":{"title":"Teaching UAVs to Race: End-to-End Regression of Agile Controls in Simulation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Bernard Ghanem, Dominik L. Michels, Matthias M\\\"uller, Neil Smith, Vincent Casser","submitted_at":"2017-08-19T18:13:23Z","abstract_excerpt":"Automating the navigation of unmanned aerial vehicles (UAVs) in diverse scenarios has gained much attention in recent years. However, teaching UAVs to fly in challenging environments remains an unsolved problem, mainly due to the lack of training data. In this paper, we train a deep neural network to predict UAV controls from raw image data for the task of autonomous UAV racing in a photo-realistic simulation. Training is done through imitation learning with data augmentation to allow for the correction of navigation mistakes. Extensive experiments demonstrate that our trained network (when su"},"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":"1708.05884","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-08-19T18:13:23Z","cross_cats_sorted":[],"title_canon_sha256":"0851323e0821f173b4c8eabb03d85b2e82f7a42c9011dca90a8b2db066e548b1","abstract_canon_sha256":"ea6eb447e13ea1f1b47caea7775d26d027e3d3817eb4b6b4ecd89a9bf605f0d9"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:00:09.134983Z","signature_b64":"YfsnCsdizU3UegcmYq5Bv1ya4fLngIUqjZVbeI/AA0071E6axXKQ//4HzviawMRsEy1FQHjhSGZaamc/MSe4Dw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f053bb8d0ee0320f122260fa8a70425519dd75a90f7e177bcfeb57e5fab24273","last_reissued_at":"2026-05-18T00:00:09.134434Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:00:09.134434Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Teaching UAVs to Race: End-to-End Regression of Agile Controls in Simulation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Bernard Ghanem, Dominik L. Michels, Matthias M\\\"uller, Neil Smith, Vincent Casser","submitted_at":"2017-08-19T18:13:23Z","abstract_excerpt":"Automating the navigation of unmanned aerial vehicles (UAVs) in diverse scenarios has gained much attention in recent years. However, teaching UAVs to fly in challenging environments remains an unsolved problem, mainly due to the lack of training data. In this paper, we train a deep neural network to predict UAV controls from raw image data for the task of autonomous UAV racing in a photo-realistic simulation. Training is done through imitation learning with data augmentation to allow for the correction of navigation mistakes. Extensive experiments demonstrate that our trained network (when su"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1708.05884","kind":"arxiv","version":4},"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":"1708.05884","created_at":"2026-05-18T00:00:09.134526+00:00"},{"alias_kind":"arxiv_version","alias_value":"1708.05884v4","created_at":"2026-05-18T00:00:09.134526+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1708.05884","created_at":"2026-05-18T00:00:09.134526+00:00"},{"alias_kind":"pith_short_12","alias_value":"6BJ3XDIO4AZA","created_at":"2026-05-18T12:31:03.183658+00:00"},{"alias_kind":"pith_short_16","alias_value":"6BJ3XDIO4AZA6ERC","created_at":"2026-05-18T12:31:03.183658+00:00"},{"alias_kind":"pith_short_8","alias_value":"6BJ3XDIO","created_at":"2026-05-18T12:31:03.183658+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/6BJ3XDIO4AZA6ERCMD5IU4CCKU","json":"https://pith.science/pith/6BJ3XDIO4AZA6ERCMD5IU4CCKU.json","graph_json":"https://pith.science/api/pith-number/6BJ3XDIO4AZA6ERCMD5IU4CCKU/graph.json","events_json":"https://pith.science/api/pith-number/6BJ3XDIO4AZA6ERCMD5IU4CCKU/events.json","paper":"https://pith.science/paper/6BJ3XDIO"},"agent_actions":{"view_html":"https://pith.science/pith/6BJ3XDIO4AZA6ERCMD5IU4CCKU","download_json":"https://pith.science/pith/6BJ3XDIO4AZA6ERCMD5IU4CCKU.json","view_paper":"https://pith.science/paper/6BJ3XDIO","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1708.05884&json=true","fetch_graph":"https://pith.science/api/pith-number/6BJ3XDIO4AZA6ERCMD5IU4CCKU/graph.json","fetch_events":"https://pith.science/api/pith-number/6BJ3XDIO4AZA6ERCMD5IU4CCKU/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/6BJ3XDIO4AZA6ERCMD5IU4CCKU/action/timestamp_anchor","attest_storage":"https://pith.science/pith/6BJ3XDIO4AZA6ERCMD5IU4CCKU/action/storage_attestation","attest_author":"https://pith.science/pith/6BJ3XDIO4AZA6ERCMD5IU4CCKU/action/author_attestation","sign_citation":"https://pith.science/pith/6BJ3XDIO4AZA6ERCMD5IU4CCKU/action/citation_signature","submit_replication":"https://pith.science/pith/6BJ3XDIO4AZA6ERCMD5IU4CCKU/action/replication_record"}},"created_at":"2026-05-18T00:00:09.134526+00:00","updated_at":"2026-05-18T00:00:09.134526+00:00"}