{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:WJXHLC6TXCFQOJ6DLQHG45KSWX","short_pith_number":"pith:WJXHLC6T","canonical_record":{"source":{"id":"1801.02686","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-01-08T21:05:10Z","cross_cats_sorted":["cs.SY"],"title_canon_sha256":"bbc1603fe515fe051443001c25241fb80bf73a68e6ec415752dc60d9b4c14b54","abstract_canon_sha256":"f871831908f2f2f58ae5c66fc37a2ca44a5f85e259f537ee23aeba8140438157"},"schema_version":"1.0"},"canonical_sha256":"b26e758bd3b88b0727c35c0e6e7552b5e4e48813500540e0a9402e79a1bab36d","source":{"kind":"arxiv","id":"1801.02686","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1801.02686","created_at":"2026-05-18T00:17:53Z"},{"alias_kind":"arxiv_version","alias_value":"1801.02686v2","created_at":"2026-05-18T00:17:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1801.02686","created_at":"2026-05-18T00:17:53Z"},{"alias_kind":"pith_short_12","alias_value":"WJXHLC6TXCFQ","created_at":"2026-05-18T12:32:59Z"},{"alias_kind":"pith_short_16","alias_value":"WJXHLC6TXCFQOJ6D","created_at":"2026-05-18T12:32:59Z"},{"alias_kind":"pith_short_8","alias_value":"WJXHLC6T","created_at":"2026-05-18T12:32:59Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:WJXHLC6TXCFQOJ6DLQHG45KSWX","target":"record","payload":{"canonical_record":{"source":{"id":"1801.02686","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-01-08T21:05:10Z","cross_cats_sorted":["cs.SY"],"title_canon_sha256":"bbc1603fe515fe051443001c25241fb80bf73a68e6ec415752dc60d9b4c14b54","abstract_canon_sha256":"f871831908f2f2f58ae5c66fc37a2ca44a5f85e259f537ee23aeba8140438157"},"schema_version":"1.0"},"canonical_sha256":"b26e758bd3b88b0727c35c0e6e7552b5e4e48813500540e0a9402e79a1bab36d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:17:53.684219Z","signature_b64":"gfFIeXzeYdcZLbTZ55MoM4jO+QvJxyXEkhldtptZzkBNOOR0ETNPe9NRLgmRqsOSOON4MYOrtWd5t70MamuJBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b26e758bd3b88b0727c35c0e6e7552b5e4e48813500540e0a9402e79a1bab36d","last_reissued_at":"2026-05-18T00:17:53.683553Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:17:53.683553Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1801.02686","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:17:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zg26ArQYtI+oLdFcQ4wQF8RTs9VfOBAeOWLRiKJ2b9Oya9FGxYRSDTv/O/ISQbH76q3V35YHdNtw8DjV1j7xBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-26T00:14:44.364663Z"},"content_sha256":"1dc4f43d072a99942ac8b4c7240acdf3ff585eb9ee2df5cbd1cb07a5d9353d75","schema_version":"1.0","event_id":"sha256:1dc4f43d072a99942ac8b4c7240acdf3ff585eb9ee2df5cbd1cb07a5d9353d75"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:WJXHLC6TXCFQOJ6DLQHG45KSWX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Towards Multi-Object Detection and Tracking in Urban Scenario under Uncertainties","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SY"],"primary_cat":"cs.CV","authors_text":"Achim Kampker, Arya Abdul Rachman, Kai Kreisk\\\"other, Mohsen Sefati, Pascual Campoy","submitted_at":"2018-01-08T21:05:10Z","abstract_excerpt":"Urban-oriented autonomous vehicles require a reliable perception technology to tackle the high amount of uncertainties. The recently introduced compact 3D LIDAR sensor offers a surround spatial information that can be exploited to enhance the vehicle perception. We present a real-time integrated framework of multi-target object detection and tracking using 3D LIDAR geared toward urban use. Our approach combines sensor occlusion-aware detection method with computationally efficient heuristics rule-based filtering and adaptive probabilistic tracking to handle uncertainties arising from sensing l"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1801.02686","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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:17:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bENMzyLT+dRpeHHOaXcUMkPdnHSqzfipMxjlLavLjTdNZMvNBjE813Z2mI2nkWOj/MxckHhpBnSgfvYyfp8nDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-26T00:14:44.365014Z"},"content_sha256":"99c7167f11b6739e8f1d09d0b6f3929c7af93a1c3901126e787f3dd4021c44a0","schema_version":"1.0","event_id":"sha256:99c7167f11b6739e8f1d09d0b6f3929c7af93a1c3901126e787f3dd4021c44a0"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WJXHLC6TXCFQOJ6DLQHG45KSWX/bundle.json","state_url":"https://pith.science/pith/WJXHLC6TXCFQOJ6DLQHG45KSWX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WJXHLC6TXCFQOJ6DLQHG45KSWX/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-06-26T00:14:44Z","links":{"resolver":"https://pith.science/pith/WJXHLC6TXCFQOJ6DLQHG45KSWX","bundle":"https://pith.science/pith/WJXHLC6TXCFQOJ6DLQHG45KSWX/bundle.json","state":"https://pith.science/pith/WJXHLC6TXCFQOJ6DLQHG45KSWX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WJXHLC6TXCFQOJ6DLQHG45KSWX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:WJXHLC6TXCFQOJ6DLQHG45KSWX","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":"f871831908f2f2f58ae5c66fc37a2ca44a5f85e259f537ee23aeba8140438157","cross_cats_sorted":["cs.SY"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-01-08T21:05:10Z","title_canon_sha256":"bbc1603fe515fe051443001c25241fb80bf73a68e6ec415752dc60d9b4c14b54"},"schema_version":"1.0","source":{"id":"1801.02686","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1801.02686","created_at":"2026-05-18T00:17:53Z"},{"alias_kind":"arxiv_version","alias_value":"1801.02686v2","created_at":"2026-05-18T00:17:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1801.02686","created_at":"2026-05-18T00:17:53Z"},{"alias_kind":"pith_short_12","alias_value":"WJXHLC6TXCFQ","created_at":"2026-05-18T12:32:59Z"},{"alias_kind":"pith_short_16","alias_value":"WJXHLC6TXCFQOJ6D","created_at":"2026-05-18T12:32:59Z"},{"alias_kind":"pith_short_8","alias_value":"WJXHLC6T","created_at":"2026-05-18T12:32:59Z"}],"graph_snapshots":[{"event_id":"sha256:99c7167f11b6739e8f1d09d0b6f3929c7af93a1c3901126e787f3dd4021c44a0","target":"graph","created_at":"2026-05-18T00:17:53Z","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":"Urban-oriented autonomous vehicles require a reliable perception technology to tackle the high amount of uncertainties. The recently introduced compact 3D LIDAR sensor offers a surround spatial information that can be exploited to enhance the vehicle perception. We present a real-time integrated framework of multi-target object detection and tracking using 3D LIDAR geared toward urban use. Our approach combines sensor occlusion-aware detection method with computationally efficient heuristics rule-based filtering and adaptive probabilistic tracking to handle uncertainties arising from sensing l","authors_text":"Achim Kampker, Arya Abdul Rachman, Kai Kreisk\\\"other, Mohsen Sefati, Pascual Campoy","cross_cats":["cs.SY"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-01-08T21:05:10Z","title":"Towards Multi-Object Detection and Tracking in Urban Scenario under Uncertainties"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1801.02686","kind":"arxiv","version":2},"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":"sha256:1dc4f43d072a99942ac8b4c7240acdf3ff585eb9ee2df5cbd1cb07a5d9353d75","target":"record","created_at":"2026-05-18T00:17:53Z","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":"f871831908f2f2f58ae5c66fc37a2ca44a5f85e259f537ee23aeba8140438157","cross_cats_sorted":["cs.SY"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-01-08T21:05:10Z","title_canon_sha256":"bbc1603fe515fe051443001c25241fb80bf73a68e6ec415752dc60d9b4c14b54"},"schema_version":"1.0","source":{"id":"1801.02686","kind":"arxiv","version":2}},"canonical_sha256":"b26e758bd3b88b0727c35c0e6e7552b5e4e48813500540e0a9402e79a1bab36d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b26e758bd3b88b0727c35c0e6e7552b5e4e48813500540e0a9402e79a1bab36d","first_computed_at":"2026-05-18T00:17:53.683553Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:17:53.683553Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"gfFIeXzeYdcZLbTZ55MoM4jO+QvJxyXEkhldtptZzkBNOOR0ETNPe9NRLgmRqsOSOON4MYOrtWd5t70MamuJBg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:17:53.684219Z","signed_message":"canonical_sha256_bytes"},"source_id":"1801.02686","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1dc4f43d072a99942ac8b4c7240acdf3ff585eb9ee2df5cbd1cb07a5d9353d75","sha256:99c7167f11b6739e8f1d09d0b6f3929c7af93a1c3901126e787f3dd4021c44a0"],"state_sha256":"1d252497346b501f5ead866a216c0b0a2a4755a006783627e2b188fcd72b870f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"iNyiOEyfKpfXnbdlz2r4RHz16RicXdvOw7Y2A8zWeJ98aonrVbjyPigaO8PC/1Qk9epu4Cz5h5VyJVeXLC/wBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-26T00:14:44.367035Z","bundle_sha256":"fee17d2efd656ec4a77e058a4ef1bb2cafd65abd0a82cacb757488eb8cc938e1"}}