{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2016:FT5UM6HSS25RNKTXSOOJEFI3EV","short_pith_number":"pith:FT5UM6HS","schema_version":"1.0","canonical_sha256":"2cfb4678f296bb16aa77939c92151b255b1818aa0e0334d181614e3254311284","source":{"kind":"arxiv","id":"1610.04124","version":1},"attestation_state":"computed","paper":{"title":"GPU-accelerated real-time stixel computation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Antonio Espinosa, Antonio Manuel L\\'opez, Daniel Hernandez-Juarez, David V\\'azquez, Juan Carlos Moure","submitted_at":"2016-10-13T15:20:40Z","abstract_excerpt":"The Stixel World is a medium-level, compact representation of road scenes that abstracts millions of disparity pixels into hundreds or thousands of stixels. The goal of this work is to implement and evaluate a complete multi-stixel estimation pipeline on an embedded, energy-efficient, GPU-accelerated device. This work presents a full GPU-accelerated implementation of stixel estimation that produces reliable results at 26 frames per second (real-time) on the Tegra X1 for disparity images of 1024x440 pixels and stixel widths of 5 pixels, and achieves more than 400 frames per second on a high-end"},"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":"1610.04124","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-10-13T15:20:40Z","cross_cats_sorted":[],"title_canon_sha256":"c40410795d840abbffaf493f090f7a308da53e5a1af68b88243b21b821476b4e","abstract_canon_sha256":"659dd78933afb059edc44382ad6864e1943d871b401a90976bb0ed2b0a54f656"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:02:21.869914Z","signature_b64":"mfCbVfEWBszL1ra8DwkodtWUxWto6nb0qy+us5rZfgdzSPzuWpE9AfUlCjxtYarm+R9+gw+hwfpGjEfmT0UGAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2cfb4678f296bb16aa77939c92151b255b1818aa0e0334d181614e3254311284","last_reissued_at":"2026-05-18T01:02:21.869141Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:02:21.869141Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"GPU-accelerated real-time stixel computation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Antonio Espinosa, Antonio Manuel L\\'opez, Daniel Hernandez-Juarez, David V\\'azquez, Juan Carlos Moure","submitted_at":"2016-10-13T15:20:40Z","abstract_excerpt":"The Stixel World is a medium-level, compact representation of road scenes that abstracts millions of disparity pixels into hundreds or thousands of stixels. The goal of this work is to implement and evaluate a complete multi-stixel estimation pipeline on an embedded, energy-efficient, GPU-accelerated device. This work presents a full GPU-accelerated implementation of stixel estimation that produces reliable results at 26 frames per second (real-time) on the Tegra X1 for disparity images of 1024x440 pixels and stixel widths of 5 pixels, and achieves more than 400 frames per second on a high-end"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1610.04124","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":"1610.04124","created_at":"2026-05-18T01:02:21.869273+00:00"},{"alias_kind":"arxiv_version","alias_value":"1610.04124v1","created_at":"2026-05-18T01:02:21.869273+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1610.04124","created_at":"2026-05-18T01:02:21.869273+00:00"},{"alias_kind":"pith_short_12","alias_value":"FT5UM6HSS25R","created_at":"2026-05-18T12:30:15.759754+00:00"},{"alias_kind":"pith_short_16","alias_value":"FT5UM6HSS25RNKTX","created_at":"2026-05-18T12:30:15.759754+00:00"},{"alias_kind":"pith_short_8","alias_value":"FT5UM6HS","created_at":"2026-05-18T12:30:15.759754+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/FT5UM6HSS25RNKTXSOOJEFI3EV","json":"https://pith.science/pith/FT5UM6HSS25RNKTXSOOJEFI3EV.json","graph_json":"https://pith.science/api/pith-number/FT5UM6HSS25RNKTXSOOJEFI3EV/graph.json","events_json":"https://pith.science/api/pith-number/FT5UM6HSS25RNKTXSOOJEFI3EV/events.json","paper":"https://pith.science/paper/FT5UM6HS"},"agent_actions":{"view_html":"https://pith.science/pith/FT5UM6HSS25RNKTXSOOJEFI3EV","download_json":"https://pith.science/pith/FT5UM6HSS25RNKTXSOOJEFI3EV.json","view_paper":"https://pith.science/paper/FT5UM6HS","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1610.04124&json=true","fetch_graph":"https://pith.science/api/pith-number/FT5UM6HSS25RNKTXSOOJEFI3EV/graph.json","fetch_events":"https://pith.science/api/pith-number/FT5UM6HSS25RNKTXSOOJEFI3EV/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/FT5UM6HSS25RNKTXSOOJEFI3EV/action/timestamp_anchor","attest_storage":"https://pith.science/pith/FT5UM6HSS25RNKTXSOOJEFI3EV/action/storage_attestation","attest_author":"https://pith.science/pith/FT5UM6HSS25RNKTXSOOJEFI3EV/action/author_attestation","sign_citation":"https://pith.science/pith/FT5UM6HSS25RNKTXSOOJEFI3EV/action/citation_signature","submit_replication":"https://pith.science/pith/FT5UM6HSS25RNKTXSOOJEFI3EV/action/replication_record"}},"created_at":"2026-05-18T01:02:21.869273+00:00","updated_at":"2026-05-18T01:02:21.869273+00:00"}