{"id":"W2919688329","doi":"10.1109/tits.2019.2899051","title":"Online Multiple Maneuvering Vehicle Tracking System Based on Multi-Model Smooth Variable Structure Filter","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Intelligent Transportation Systems","topic":"Video Surveillance and Tracking Methods","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Variable (mathematics); Computer science; Tracking (education); Vehicle dynamics; Computer vision; Control theory (sociology); Artificial intelligence; Engineering; Mathematics; Aerospace engineering; Control (management)","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":[0.0004826795,0.000579419,0.001079481,0.000347562,0.0004540012,0.0005044705,0.0009383851,0.0009513389,0.001138609],"category_scores_gemma":[0.0007440279,0.0003043219,0.0005705378,0.0003793408,0.0002520678,0.0008626669,0.0005063921,0.0007912348,0.0004186723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004209268,"about_ca_system_score_gemma":0.0008147633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006318246,"about_ca_topic_score_gemma":0.004855733,"domain_scores_codex":[0.9996481,0.00003904573,0.00001843538,0.0001294555,0.0001174488,0.00004748597],"domain_scores_gemma":[0.9996606,0.00009937974,0.00005381661,0.00004364141,0.0001160189,0.000026433],"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":[0.0003890824,0.0002409471,0.002703666,0.0002132091,0.0001341565,0.0002388803,0.0003107086,0.4714797,0.07114471,0.005847294,0.003231741,0.4440659],"study_design_scores_gemma":[0.00001448012,0.00005337542,0.0002740974,0.000002442481,0.00001020618,0.00002704274,0.000004994301,0.9968478,0.001954408,0.0003536166,0.00045011,0.000007425678],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03071492,0.0001697985,0.9670749,0.00008909382,0.00005282552,0.00003170666,0.00002620635,0.000801774,0.001038913],"genre_scores_gemma":[0.8021178,0.0002212978,0.1916516,0.0001290051,0.00007473378,0.0001220704,0.0001974532,0.00004821119,0.005437779],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006318246,"threshold_uncertainty_score":0.01256293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03953043588648853,"score_gpt":0.273075344378206,"score_spread":0.2335449084917174,"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."}}