{"id":"W2901626279","doi":"10.1115/dscc2018-9224","title":"Towards Integrated Planning and Control of Autonomous Vehicles Using Nested MPCs","year":2018,"lang":"en","type":"article","venue":"","topic":"Formal Methods in Verification","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Motion planning; Path (computing); Controller (irrigation); Scheme (mathematics); Computer science; Collision; Collision avoidance; Control theory (sociology); Control (management); Action (physics); Work (physics); Control engineering; Engineering; Mathematics; Robot; Artificial intelligence; Computer network","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004037548,0.00007149425,0.0001228957,0.00007693649,0.00006037415,0.00005186671,0.0002645117,0.00004793772,0.000005666143],"category_scores_gemma":[0.00009996951,0.00005846623,0.00001480787,0.0002381459,0.000121062,0.0003290068,0.00006958312,0.00005370928,0.000002409037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002315108,"about_ca_system_score_gemma":0.0000660985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001118789,"about_ca_topic_score_gemma":0.000001268742,"domain_scores_codex":[0.9993489,0.00007689401,0.0001896717,0.0001634789,0.00009825119,0.0001228183],"domain_scores_gemma":[0.9994465,0.00004172061,0.00009417953,0.0002330011,0.0001456672,0.00003899091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008111822,0.00008047897,0.01241303,0.00004518014,0.00006201833,0.000006689376,0.005549149,0.0003484248,0.2791073,0.1934834,0.00007634529,0.5087469],"study_design_scores_gemma":[0.0002339629,0.0001073263,0.0110658,0.0000220045,0.000004914221,0.00001566645,0.00006527549,0.8720711,0.1155067,0.0006123353,0.0002178999,0.00007706504],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2306305,0.0000441632,0.7681012,0.00003858758,0.000131016,0.00006519142,7.017508e-7,0.00007921085,0.0009093644],"genre_scores_gemma":[0.5529779,3.506037e-7,0.4469266,0.00006333515,0.00001591913,8.835225e-7,1.858398e-7,0.000002293381,0.00001248631],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8717227,"threshold_uncertainty_score":0.2384184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05248020610392343,"score_gpt":0.3275479546970442,"score_spread":0.2750677485931208,"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."}}