{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:UAV7BFBN5SSUV756VOTC2KJBWT","short_pith_number":"pith:UAV7BFBN","schema_version":"1.0","canonical_sha256":"a02bf0942deca54affbeaba62d2921b4fb2ce3a49f69c1d740a1a50d148f98ce","source":{"kind":"arxiv","id":"1804.08679","version":1},"attestation_state":"computed","paper":{"title":"Gradient Aware - Shrinking Domain based Control Design for Reactive Planning Frameworks used in Autonomous Vehicles","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.RO","authors_text":"Adarsh Modh, A. V. S. Sai Bhargav Kumar, K. Madhava Krishna, Siddharth Singh, Sriram N. N.","submitted_at":"2018-04-23T19:31:31Z","abstract_excerpt":"In this paper, we present a novel control law for longitudinal speed control of autonomous vehicles. The key contributions of the proposed work include the design of a control law that reactively integrates the longitudinal surface gradient of road into its operation. In contrast to the existing works, we found that integrating the path gradient into the control framework improves the speed tracking efficacy. Since the control law is implemented over a shrinking domain scheme, it minimizes the integrated error by recomputing the control inputs at every discretized step and consequently provide"},"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":"1804.08679","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2018-04-23T19:31:31Z","cross_cats_sorted":[],"title_canon_sha256":"a7bfdc64840aec211e41de70cf7a9e59d5fb420dafdc915c200dde44a4d05ab2","abstract_canon_sha256":"2033a19f7f74ecf0e3a369510846da45275b201c83fce9de894e7641cd6965ed"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:17:47.010262Z","signature_b64":"u5aLU9QtqqEgKAM+u6SxZ94Zy3ZvMwgKtrQ0YzVYzDggmARGh4SMjTtr606TVqqR0JdYyN7ZlzMQq69GBevHCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a02bf0942deca54affbeaba62d2921b4fb2ce3a49f69c1d740a1a50d148f98ce","last_reissued_at":"2026-05-18T00:17:47.009488Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:17:47.009488Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Gradient Aware - Shrinking Domain based Control Design for Reactive Planning Frameworks used in Autonomous Vehicles","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.RO","authors_text":"Adarsh Modh, A. V. S. Sai Bhargav Kumar, K. Madhava Krishna, Siddharth Singh, Sriram N. N.","submitted_at":"2018-04-23T19:31:31Z","abstract_excerpt":"In this paper, we present a novel control law for longitudinal speed control of autonomous vehicles. The key contributions of the proposed work include the design of a control law that reactively integrates the longitudinal surface gradient of road into its operation. In contrast to the existing works, we found that integrating the path gradient into the control framework improves the speed tracking efficacy. Since the control law is implemented over a shrinking domain scheme, it minimizes the integrated error by recomputing the control inputs at every discretized step and consequently provide"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1804.08679","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":"1804.08679","created_at":"2026-05-18T00:17:47.009608+00:00"},{"alias_kind":"arxiv_version","alias_value":"1804.08679v1","created_at":"2026-05-18T00:17:47.009608+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1804.08679","created_at":"2026-05-18T00:17:47.009608+00:00"},{"alias_kind":"pith_short_12","alias_value":"UAV7BFBN5SSU","created_at":"2026-05-18T12:32:56.356000+00:00"},{"alias_kind":"pith_short_16","alias_value":"UAV7BFBN5SSUV756","created_at":"2026-05-18T12:32:56.356000+00:00"},{"alias_kind":"pith_short_8","alias_value":"UAV7BFBN","created_at":"2026-05-18T12:32:56.356000+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/UAV7BFBN5SSUV756VOTC2KJBWT","json":"https://pith.science/pith/UAV7BFBN5SSUV756VOTC2KJBWT.json","graph_json":"https://pith.science/api/pith-number/UAV7BFBN5SSUV756VOTC2KJBWT/graph.json","events_json":"https://pith.science/api/pith-number/UAV7BFBN5SSUV756VOTC2KJBWT/events.json","paper":"https://pith.science/paper/UAV7BFBN"},"agent_actions":{"view_html":"https://pith.science/pith/UAV7BFBN5SSUV756VOTC2KJBWT","download_json":"https://pith.science/pith/UAV7BFBN5SSUV756VOTC2KJBWT.json","view_paper":"https://pith.science/paper/UAV7BFBN","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1804.08679&json=true","fetch_graph":"https://pith.science/api/pith-number/UAV7BFBN5SSUV756VOTC2KJBWT/graph.json","fetch_events":"https://pith.science/api/pith-number/UAV7BFBN5SSUV756VOTC2KJBWT/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/UAV7BFBN5SSUV756VOTC2KJBWT/action/timestamp_anchor","attest_storage":"https://pith.science/pith/UAV7BFBN5SSUV756VOTC2KJBWT/action/storage_attestation","attest_author":"https://pith.science/pith/UAV7BFBN5SSUV756VOTC2KJBWT/action/author_attestation","sign_citation":"https://pith.science/pith/UAV7BFBN5SSUV756VOTC2KJBWT/action/citation_signature","submit_replication":"https://pith.science/pith/UAV7BFBN5SSUV756VOTC2KJBWT/action/replication_record"}},"created_at":"2026-05-18T00:17:47.009608+00:00","updated_at":"2026-05-18T00:17:47.009608+00:00"}