{"id":"W2100658816","doi":"10.2316/journal.201.2011.4.201-2318","title":"A DYNAMIC PROGRAMMING BASED PATH-FOLLOWING CONTROLLER FOR AUTONOMOUS VEHICLES","year":2011,"lang":"en","type":"article","venue":"Control and Intelligent Systems","topic":"Traffic control and management","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Control theory (sociology); Bounded function; Invariant (physics); Robustness (evolution); Computer science; Nonlinear system; Dynamic programming; Mathematical optimization; Path (computing); Interval (graph theory); Set (abstract data type); Mathematics; Control (management); Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000287068,0.0006936422,0.0005844491,0.0002464623,0.0004460797,0.0007249677,0.0009004698,0.0007439045,0.00131255],"category_scores_gemma":[0.0005286161,0.0002994419,0.0003363861,0.0002421839,0.0005917803,0.0003740102,0.0006588958,0.0009538297,0.000218052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005788639,"about_ca_system_score_gemma":0.0009905093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007108393,"about_ca_topic_score_gemma":0.004251342,"domain_scores_codex":[0.9998196,0.00002643294,0.000005909838,0.00005484015,0.00006248308,0.0000307596],"domain_scores_gemma":[0.9998031,0.00008030594,0.00003903052,0.000007834453,0.00005282855,0.00001699635],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004662953,0.00004310919,0.0001316145,0.00006175695,0.00001915673,0.0001047523,0.00005218167,0.9579502,0.006127969,0.00683954,0.0007114736,0.02791169],"study_design_scores_gemma":[0.000007861852,0.0000483794,0.00003752208,0.000002929171,0.000002914342,0.00001111995,0.000003320591,0.9982071,0.0004196898,0.0008085522,0.000446942,0.000003665303],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02448693,0.0002449725,0.9678967,0.0001917859,0.00006945921,0.00006108908,0.00003713093,0.0004509969,0.006560899],"genre_scores_gemma":[0.920663,0.0002213088,0.07252425,0.0001108237,0.00003234544,0.0002434908,0.00007051,0.00003800749,0.006096208],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007108393,"threshold_uncertainty_score":0.01413405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01379924068065807,"score_gpt":0.202461377353571,"score_spread":0.188662136672913,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}