{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:VXUFYNP5WBXLFI76PMJWOBFTV2","short_pith_number":"pith:VXUFYNP5","schema_version":"1.0","canonical_sha256":"ade85c35fdb06eb2a3fe7b136704b3aeb77e4b454f7a078b49a48444a5aa7d70","source":{"kind":"arxiv","id":"2308.06931","version":3},"attestation_state":"computed","paper":{"title":"FusionPlanner: A Multi-task Motion Planner for Mining Trucks via Multi-sensor Fusion","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.RO","authors_text":"Lingxi Li, Long Chen, Luxi Li, Siyu Teng, Xuemin Hu, Yuchen Li, Yunfeng Ai","submitted_at":"2023-08-14T04:18:07Z","abstract_excerpt":"In recent years, significant achievements have been made in motion planning for intelligent vehicles. However, as a typical unstructured environment, open-pit mining attracts limited attention due to its complex operational conditions and adverse environmental factors. A comprehensive paradigm for unmanned transportation in open-pit mines is proposed in this research. Firstly, we propose a multi-task motion planning algorithm, called FusionPlanner, for autonomous mining trucks by the multi-sensor fusion method to adapt both lateral and longitudinal control tasks for unmanned transportation. Th"},"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":"2308.06931","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2023-08-14T04:18:07Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"028246c587d2aa49dcca122070cb356c67110c8262dd398f71f28001ec274acc","abstract_canon_sha256":"21c4950cee1b6595adccc48e82087583e7dc6c7da999159158698d2f27cbcd67"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:31:54.043567Z","signature_b64":"fddwG3OGB+atjtahLDYiu/q1pmILV4EjOtNaX11wQ9YQz3ZrJcapzbNkmAzT26BbKeXovmbx0/IpQr5wbQTfCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ade85c35fdb06eb2a3fe7b136704b3aeb77e4b454f7a078b49a48444a5aa7d70","last_reissued_at":"2026-07-05T07:31:54.043151Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:31:54.043151Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"FusionPlanner: A Multi-task Motion Planner for Mining Trucks via Multi-sensor Fusion","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.RO","authors_text":"Lingxi Li, Long Chen, Luxi Li, Siyu Teng, Xuemin Hu, Yuchen Li, Yunfeng Ai","submitted_at":"2023-08-14T04:18:07Z","abstract_excerpt":"In recent years, significant achievements have been made in motion planning for intelligent vehicles. However, as a typical unstructured environment, open-pit mining attracts limited attention due to its complex operational conditions and adverse environmental factors. A comprehensive paradigm for unmanned transportation in open-pit mines is proposed in this research. Firstly, we propose a multi-task motion planning algorithm, called FusionPlanner, for autonomous mining trucks by the multi-sensor fusion method to adapt both lateral and longitudinal control tasks for unmanned transportation. Th"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.06931","kind":"arxiv","version":3},"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/2308.06931/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":"2308.06931","created_at":"2026-07-05T07:31:54.043211+00:00"},{"alias_kind":"arxiv_version","alias_value":"2308.06931v3","created_at":"2026-07-05T07:31:54.043211+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.06931","created_at":"2026-07-05T07:31:54.043211+00:00"},{"alias_kind":"pith_short_12","alias_value":"VXUFYNP5WBXL","created_at":"2026-07-05T07:31:54.043211+00:00"},{"alias_kind":"pith_short_16","alias_value":"VXUFYNP5WBXLFI76","created_at":"2026-07-05T07:31:54.043211+00:00"},{"alias_kind":"pith_short_8","alias_value":"VXUFYNP5","created_at":"2026-07-05T07:31:54.043211+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/VXUFYNP5WBXLFI76PMJWOBFTV2","json":"https://pith.science/pith/VXUFYNP5WBXLFI76PMJWOBFTV2.json","graph_json":"https://pith.science/api/pith-number/VXUFYNP5WBXLFI76PMJWOBFTV2/graph.json","events_json":"https://pith.science/api/pith-number/VXUFYNP5WBXLFI76PMJWOBFTV2/events.json","paper":"https://pith.science/paper/VXUFYNP5"},"agent_actions":{"view_html":"https://pith.science/pith/VXUFYNP5WBXLFI76PMJWOBFTV2","download_json":"https://pith.science/pith/VXUFYNP5WBXLFI76PMJWOBFTV2.json","view_paper":"https://pith.science/paper/VXUFYNP5","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2308.06931&json=true","fetch_graph":"https://pith.science/api/pith-number/VXUFYNP5WBXLFI76PMJWOBFTV2/graph.json","fetch_events":"https://pith.science/api/pith-number/VXUFYNP5WBXLFI76PMJWOBFTV2/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/VXUFYNP5WBXLFI76PMJWOBFTV2/action/timestamp_anchor","attest_storage":"https://pith.science/pith/VXUFYNP5WBXLFI76PMJWOBFTV2/action/storage_attestation","attest_author":"https://pith.science/pith/VXUFYNP5WBXLFI76PMJWOBFTV2/action/author_attestation","sign_citation":"https://pith.science/pith/VXUFYNP5WBXLFI76PMJWOBFTV2/action/citation_signature","submit_replication":"https://pith.science/pith/VXUFYNP5WBXLFI76PMJWOBFTV2/action/replication_record"}},"created_at":"2026-07-05T07:31:54.043211+00:00","updated_at":"2026-07-05T07:31:54.043211+00:00"}