{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2022:PQ5TGVNTKKPTFRT7RT2SJWIIAM","short_pith_number":"pith:PQ5TGVNT","schema_version":"1.0","canonical_sha256":"7c3b3355b3529f32c67f8cf524d9080306346bf8b55168972d79a28b40772df0","source":{"kind":"arxiv","id":"2209.05324","version":4},"attestation_state":"computed","paper":{"title":"Delving into the Devils of Bird's-eye-view Perception: A Review, Evaluation and Recipe","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","cs.RO"],"primary_cat":"cs.CV","authors_text":"Chonghao Sima, Dahua Lin, Enze Xie, HanMing Deng, Hao Tian, Hongyang Li, Huijie Wang, Jiangwei Xie, Jianping Shi, Jia Zeng, Jiazhi Yang, Jifeng Dai, Lewei Lu, Li Chen, Si Liu, Tianyu Li, Wenhai Wang, Xiaosong Jia, Yang Li, Yulu Gao, Yu Qiao, Zhiqi Li","submitted_at":"2022-09-12T15:29:13Z","abstract_excerpt":"Learning powerful representations in bird's-eye-view (BEV) for perception tasks is trending and drawing extensive attention both from industry and academia. Conventional approaches for most autonomous driving algorithms perform detection, segmentation, tracking, etc., in a front or perspective view. As sensor configurations get more complex, integrating multi-source information from different sensors and representing features in a unified view come of vital importance. BEV perception inherits several advantages, as representing surrounding scenes in BEV is intuitive and fusion-friendly; and re"},"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":"2209.05324","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-09-12T15:29:13Z","cross_cats_sorted":["cs.LG","cs.RO"],"title_canon_sha256":"971e13e123aa43eaba8c9251406ba9d5a783c0a2cba665e99728416723fad58b","abstract_canon_sha256":"a207bba0463fb1c66bb0d141b487d72727b7a82da74c6ca03a3d0ba32dcd0884"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:54:53.294289Z","signature_b64":"L6WWZQ5dq6uNmIT2oO6EhMUudsvPoaQbdZEhd7wH/NELdDgm2ky7kZKfM5OnAmMb7e2wGVtu60WP0z+NWhmGAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7c3b3355b3529f32c67f8cf524d9080306346bf8b55168972d79a28b40772df0","last_reissued_at":"2026-07-05T06:54:53.293821Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:54:53.293821Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Delving into the Devils of Bird's-eye-view Perception: A Review, Evaluation and Recipe","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","cs.RO"],"primary_cat":"cs.CV","authors_text":"Chonghao Sima, Dahua Lin, Enze Xie, HanMing Deng, Hao Tian, Hongyang Li, Huijie Wang, Jiangwei Xie, Jianping Shi, Jia Zeng, Jiazhi Yang, Jifeng Dai, Lewei Lu, Li Chen, Si Liu, Tianyu Li, Wenhai Wang, Xiaosong Jia, Yang Li, Yulu Gao, Yu Qiao, Zhiqi Li","submitted_at":"2022-09-12T15:29:13Z","abstract_excerpt":"Learning powerful representations in bird's-eye-view (BEV) for perception tasks is trending and drawing extensive attention both from industry and academia. Conventional approaches for most autonomous driving algorithms perform detection, segmentation, tracking, etc., in a front or perspective view. As sensor configurations get more complex, integrating multi-source information from different sensors and representing features in a unified view come of vital importance. BEV perception inherits several advantages, as representing surrounding scenes in BEV is intuitive and fusion-friendly; and re"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2209.05324","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2209.05324/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":"2209.05324","created_at":"2026-07-05T06:54:53.293877+00:00"},{"alias_kind":"arxiv_version","alias_value":"2209.05324v4","created_at":"2026-07-05T06:54:53.293877+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2209.05324","created_at":"2026-07-05T06:54:53.293877+00:00"},{"alias_kind":"pith_short_12","alias_value":"PQ5TGVNTKKPT","created_at":"2026-07-05T06:54:53.293877+00:00"},{"alias_kind":"pith_short_16","alias_value":"PQ5TGVNTKKPTFRT7","created_at":"2026-07-05T06:54:53.293877+00:00"},{"alias_kind":"pith_short_8","alias_value":"PQ5TGVNT","created_at":"2026-07-05T06:54:53.293877+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/PQ5TGVNTKKPTFRT7RT2SJWIIAM","json":"https://pith.science/pith/PQ5TGVNTKKPTFRT7RT2SJWIIAM.json","graph_json":"https://pith.science/api/pith-number/PQ5TGVNTKKPTFRT7RT2SJWIIAM/graph.json","events_json":"https://pith.science/api/pith-number/PQ5TGVNTKKPTFRT7RT2SJWIIAM/events.json","paper":"https://pith.science/paper/PQ5TGVNT"},"agent_actions":{"view_html":"https://pith.science/pith/PQ5TGVNTKKPTFRT7RT2SJWIIAM","download_json":"https://pith.science/pith/PQ5TGVNTKKPTFRT7RT2SJWIIAM.json","view_paper":"https://pith.science/paper/PQ5TGVNT","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2209.05324&json=true","fetch_graph":"https://pith.science/api/pith-number/PQ5TGVNTKKPTFRT7RT2SJWIIAM/graph.json","fetch_events":"https://pith.science/api/pith-number/PQ5TGVNTKKPTFRT7RT2SJWIIAM/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/PQ5TGVNTKKPTFRT7RT2SJWIIAM/action/timestamp_anchor","attest_storage":"https://pith.science/pith/PQ5TGVNTKKPTFRT7RT2SJWIIAM/action/storage_attestation","attest_author":"https://pith.science/pith/PQ5TGVNTKKPTFRT7RT2SJWIIAM/action/author_attestation","sign_citation":"https://pith.science/pith/PQ5TGVNTKKPTFRT7RT2SJWIIAM/action/citation_signature","submit_replication":"https://pith.science/pith/PQ5TGVNTKKPTFRT7RT2SJWIIAM/action/replication_record"}},"created_at":"2026-07-05T06:54:53.293877+00:00","updated_at":"2026-07-05T06:54:53.293877+00:00"}