{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:Q7WLRRZTW4DSCQ3KRYBY5IGPR7","short_pith_number":"pith:Q7WLRRZT","schema_version":"1.0","canonical_sha256":"87ecb8c733b70721436a8e038ea0cf8fe7ce5d4f05735ee603d64dab4f67efcd","source":{"kind":"arxiv","id":"1802.02522","version":2},"attestation_state":"computed","paper":{"title":"Joint Attention in Driver-Pedestrian Interaction: from Theory to Practice","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"cs.RO","authors_text":"Amir Rasouli, John K. Tsotsos","submitted_at":"2018-02-07T17:03:11Z","abstract_excerpt":"Today, one of the major challenges that autonomous vehicles are facing is the ability to drive in urban environments. Such a task requires communication between autonomous vehicles and other road users in order to resolve various traffic ambiguities. The interaction between road users is a form of negotiation in which the parties involved have to share their attention regarding a common objective or a goal (e.g. crossing an intersection), and coordinate their actions in order to accomplish it. In this literature review we aim to address the interaction problem between pedestrians and drivers ("},"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":"1802.02522","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2018-02-07T17:03:11Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"6e042eccdfb62ce802a71d156cbaadec7c55a11999d1cc2137a18f23a50b6199","abstract_canon_sha256":"6da019d03e70bfc2e8191c4c89fc76a41bbf37255c20a425a2cc4e9a1d93dac2"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:14:40.379397Z","signature_b64":"ehsQX3PKLaaCE3hZKDOZ0RQaruEMzJ97vINH5nB3I8V0Ihy3qwiJ06YcqYrY6gn6zqN30Z9hjUoyn1im2N7VCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"87ecb8c733b70721436a8e038ea0cf8fe7ce5d4f05735ee603d64dab4f67efcd","last_reissued_at":"2026-05-18T00:14:40.378721Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:14:40.378721Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Joint Attention in Driver-Pedestrian Interaction: from Theory to Practice","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"cs.RO","authors_text":"Amir Rasouli, John K. Tsotsos","submitted_at":"2018-02-07T17:03:11Z","abstract_excerpt":"Today, one of the major challenges that autonomous vehicles are facing is the ability to drive in urban environments. Such a task requires communication between autonomous vehicles and other road users in order to resolve various traffic ambiguities. The interaction between road users is a form of negotiation in which the parties involved have to share their attention regarding a common objective or a goal (e.g. crossing an intersection), and coordinate their actions in order to accomplish it. In this literature review we aim to address the interaction problem between pedestrians and drivers ("},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1802.02522","kind":"arxiv","version":2},"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":"1802.02522","created_at":"2026-05-18T00:14:40.378814+00:00"},{"alias_kind":"arxiv_version","alias_value":"1802.02522v2","created_at":"2026-05-18T00:14:40.378814+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1802.02522","created_at":"2026-05-18T00:14:40.378814+00:00"},{"alias_kind":"pith_short_12","alias_value":"Q7WLRRZTW4DS","created_at":"2026-05-18T12:32:46.962924+00:00"},{"alias_kind":"pith_short_16","alias_value":"Q7WLRRZTW4DSCQ3K","created_at":"2026-05-18T12:32:46.962924+00:00"},{"alias_kind":"pith_short_8","alias_value":"Q7WLRRZT","created_at":"2026-05-18T12:32:46.962924+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2604.23934","citing_title":"VLM-VPI: A Vision-Language Reasoning Framework for Improving Automated Vehicle-Pedestrian Interactions","ref_index":16,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/Q7WLRRZTW4DSCQ3KRYBY5IGPR7","json":"https://pith.science/pith/Q7WLRRZTW4DSCQ3KRYBY5IGPR7.json","graph_json":"https://pith.science/api/pith-number/Q7WLRRZTW4DSCQ3KRYBY5IGPR7/graph.json","events_json":"https://pith.science/api/pith-number/Q7WLRRZTW4DSCQ3KRYBY5IGPR7/events.json","paper":"https://pith.science/paper/Q7WLRRZT"},"agent_actions":{"view_html":"https://pith.science/pith/Q7WLRRZTW4DSCQ3KRYBY5IGPR7","download_json":"https://pith.science/pith/Q7WLRRZTW4DSCQ3KRYBY5IGPR7.json","view_paper":"https://pith.science/paper/Q7WLRRZT","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1802.02522&json=true","fetch_graph":"https://pith.science/api/pith-number/Q7WLRRZTW4DSCQ3KRYBY5IGPR7/graph.json","fetch_events":"https://pith.science/api/pith-number/Q7WLRRZTW4DSCQ3KRYBY5IGPR7/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/Q7WLRRZTW4DSCQ3KRYBY5IGPR7/action/timestamp_anchor","attest_storage":"https://pith.science/pith/Q7WLRRZTW4DSCQ3KRYBY5IGPR7/action/storage_attestation","attest_author":"https://pith.science/pith/Q7WLRRZTW4DSCQ3KRYBY5IGPR7/action/author_attestation","sign_citation":"https://pith.science/pith/Q7WLRRZTW4DSCQ3KRYBY5IGPR7/action/citation_signature","submit_replication":"https://pith.science/pith/Q7WLRRZTW4DSCQ3KRYBY5IGPR7/action/replication_record"}},"created_at":"2026-05-18T00:14:40.378814+00:00","updated_at":"2026-05-18T00:14:40.378814+00:00"}