{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:GEBO3REVIJKZFSWB7APDQU4GRB","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"b59e130574db722fb1aabbd629cc1c43eeec86d3e55e654e964bef61511e72be","cross_cats_sorted":["cs.LG","cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-05-31T09:00:33Z","title_canon_sha256":"f2102026ad3468ee4626780bd2277b796c796390168728d710cd4166028b19d2"},"schema_version":"1.0","source":{"id":"1605.09533","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1605.09533","created_at":"2026-05-18T01:13:10Z"},{"alias_kind":"arxiv_version","alias_value":"1605.09533v1","created_at":"2026-05-18T01:13:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1605.09533","created_at":"2026-05-18T01:13:10Z"},{"alias_kind":"pith_short_12","alias_value":"GEBO3REVIJKZ","created_at":"2026-05-18T12:30:19Z"},{"alias_kind":"pith_short_16","alias_value":"GEBO3REVIJKZFSWB","created_at":"2026-05-18T12:30:19Z"},{"alias_kind":"pith_short_8","alias_value":"GEBO3REV","created_at":"2026-05-18T12:30:19Z"}],"graph_snapshots":[{"event_id":"sha256:f4066ded6ac0194e417099e05efb1464c44e44565f358e83f2cb8caea4fa657e","target":"graph","created_at":"2026-05-18T01:13:10Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"This paper proposes an approach that predicts the road course from camera sensors leveraging deep learning techniques. Road pixels are identified by training a multi-scale convolutional neural network on a large number of full-scene-labeled night-time road images including adverse weather conditions. A framework is presented that applies the proposed approach to longer distance road course estimation, which is the basis for an augmented reality navigation application. In this framework long range sensor data (radar) and data from a map database are fused with short range sensor data (camera) t","authors_text":"Dennis Baudach, Florian Sch\\\"ule, Hendrik P.A. Lensch, Julian Forster, Matthias Limmer, Roland Schweiger","cross_cats":["cs.LG","cs.RO"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-05-31T09:00:33Z","title":"Robust Deep-Learning-Based Road-Prediction for Augmented Reality Navigation Systems"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1605.09533","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:26c9c5f79eeb9013d11c0264095f56c073782a24bdefe504c9a5338d077bb659","target":"record","created_at":"2026-05-18T01:13:10Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"b59e130574db722fb1aabbd629cc1c43eeec86d3e55e654e964bef61511e72be","cross_cats_sorted":["cs.LG","cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-05-31T09:00:33Z","title_canon_sha256":"f2102026ad3468ee4626780bd2277b796c796390168728d710cd4166028b19d2"},"schema_version":"1.0","source":{"id":"1605.09533","kind":"arxiv","version":1}},"canonical_sha256":"3102edc495425592cac1f81e385386884e86262f2717b1a35e15fd3d12d148b6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3102edc495425592cac1f81e385386884e86262f2717b1a35e15fd3d12d148b6","first_computed_at":"2026-05-18T01:13:10.712544Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:13:10.712544Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"9yvuSpRJiY2fMv2gvYWv/Te7jLIBFvyZ2nNqbLWAH6s/P5g6sw5pZy7Kblw2tgp7frjJqiIidWN05dayLdpWAg==","signature_status":"signed_v1","signed_at":"2026-05-18T01:13:10.712881Z","signed_message":"canonical_sha256_bytes"},"source_id":"1605.09533","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:26c9c5f79eeb9013d11c0264095f56c073782a24bdefe504c9a5338d077bb659","sha256:f4066ded6ac0194e417099e05efb1464c44e44565f358e83f2cb8caea4fa657e"],"state_sha256":"742125079d949af336545abfd2c555a604db7ceaf72fc294fff249058ac81afa"}