{"id":"W4417478901","doi":"10.3901/jme.2024.10.273","title":"High-performance Trajectory Optimization for Automated Parking via Half-space Constraining Theory","year":2024,"lang":"en","type":"article","venue":"Journal of Mechanical Engineering","topic":"Traffic control and management","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Trajectory; Trajectory optimization; Collision; Control theory (sociology); Optimization algorithm","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0006259162,0.0001615861,0.0002520849,0.0001994535,0.00002819728,0.00006227157,0.0001263792,0.0000793889,0.00002504055],"category_scores_gemma":[0.00005275547,0.0001480927,0.0001160464,0.0001559688,0.000006875136,0.0002229253,0.00001364344,0.0002549003,0.000002025449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001007586,"about_ca_system_score_gemma":0.00002093199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.696346e-7,"about_ca_topic_score_gemma":2.557644e-7,"domain_scores_codex":[0.9990722,0.00001122371,0.0004069351,0.0001032763,0.0001632202,0.0002431248],"domain_scores_gemma":[0.9995664,0.0001909542,0.0000443713,0.00007837921,0.00004186746,0.00007797008],"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":[0.00001803259,0.000007105514,9.99135e-8,0.0003016365,0.0001866271,0.00001989666,0.00006008558,0.9511736,0.01186288,0.005685136,0.000140207,0.03054468],"study_design_scores_gemma":[0.0004857117,0.00009104029,0.0000127039,0.0003760084,0.00008870314,0.00005600989,0.00002497741,0.994947,0.00204288,0.00004980912,0.001665829,0.0001592962],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01591429,0.001026152,0.9791299,0.00007661774,0.002628257,0.0001385297,0.000002237915,0.001033859,0.00005021393],"genre_scores_gemma":[0.9447675,0.0001093247,0.05469533,0.00001166943,0.0003377433,0.00001156686,0.000001868276,0.00005181122,0.0000131189],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9288533,"threshold_uncertainty_score":0.6039045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005704050273224012,"score_gpt":0.1922047715842596,"score_spread":0.1865007213110356,"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."}}