{"id":"W2115476210","doi":"10.1109/aim.2001.936906","title":"Model predictive control of an autonomous vehicle","year":2002,"lang":"en","type":"article","venue":"","topic":"Control and Dynamics of Mobile Robots","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; University of Ottawa","funders":"","keywords":"Model predictive control; Control theory (sociology); Linearization; Smoothness; Slippage; Computer science; Motion planning; Vehicle dynamics; Inclined plane; Controller (irrigation); Obstacle avoidance; Motion control; Work (physics); Control engineering; Simulation; Engineering; Control (management); Mobile robot; Mathematics; Nonlinear system; Artificial intelligence; Robot; Automotive engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001188923,0.0005510944,0.0004195905,0.0001934338,0.000234014,0.0006926133,0.000484552,0.0006064383,0.002258413],"category_scores_gemma":[0.0003702113,0.0001930653,0.0003479653,0.0002454823,0.00044167,0.0004739458,0.0004534992,0.0007850836,0.0006431294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002608695,"about_ca_system_score_gemma":0.0003442349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002509692,"about_ca_topic_score_gemma":0.001716064,"domain_scores_codex":[0.9999045,0.00001852369,0.000003147705,0.00001603933,0.00004669914,0.00001112893],"domain_scores_gemma":[0.9999083,0.00002934254,0.0000144318,0.00001413982,0.00002551129,0.000008282223],"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":[0.00009437563,0.00007309662,0.000495906,0.0002949457,0.00007731211,0.0004864799,0.0001525177,0.7871796,0.02657292,0.06385884,0.0047749,0.1159391],"study_design_scores_gemma":[0.00001462581,0.000163109,0.000147726,0.0000156953,0.00001979699,0.00006781727,0.00001700495,0.9723107,0.003749632,0.009142435,0.0143382,0.00001316128],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0125296,0.00125605,0.9638523,0.0004047726,0.000369699,0.00006550748,0.00005992243,0.001023551,0.02043854],"genre_scores_gemma":[0.8902674,0.002200936,0.08954968,0.0002525711,0.0002560076,0.0003159738,0.0002533896,0.00006940738,0.01683456],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002509692,"threshold_uncertainty_score":0.007555187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007542036560116702,"score_gpt":0.1797732888680229,"score_spread":0.1722312523079062,"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."}}