{"id":"W4295832395","doi":"10.1109/tits.2022.3203411","title":"SMART: Vision-Based Method of Cooperative Surveillance and Tracking by Multiple UAVs in the Urban Environment","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Intelligent Transportation Systems","topic":"Video Surveillance and Tracking Methods","field":"Computer Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Computer science; Process (computing); Real-time computing; Artificial intelligence","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":[0.002218687,0.0002036814,0.0003223446,0.0002033696,0.0003019869,0.00007115025,0.0004448747,0.00005280518,0.00002511465],"category_scores_gemma":[0.000005979291,0.0001738215,0.0001088401,0.000555391,0.00005764576,0.0001851114,9.158621e-7,0.0003344749,0.000002744869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007668199,"about_ca_system_score_gemma":0.00004654683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003914204,"about_ca_topic_score_gemma":0.0002054529,"domain_scores_codex":[0.9967211,0.001295917,0.0006781285,0.0004809877,0.0006033427,0.0002204781],"domain_scores_gemma":[0.997898,0.001375989,0.0001985533,0.0004201161,0.00005515524,0.00005220036],"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":[0.0001264794,0.0006138477,0.006906863,0.00008266816,0.00005624904,0.00001228382,0.008929427,0.9540648,0.003411499,0.0006261391,0.00008310592,0.02508666],"study_design_scores_gemma":[0.003577603,0.002131789,0.0317146,0.0002174038,0.00006633467,0.00004540404,0.007912328,0.8210645,0.1125952,0.0001355857,0.01917223,0.001367072],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02452743,0.0003231301,0.9735482,0.0002286068,0.0004778233,0.0006231259,0.0002051419,0.00004584327,0.00002064111],"genre_scores_gemma":[0.9947369,0.00005588201,0.004705325,0.0001062187,0.00000843557,0.0003130726,0.00002239023,0.0000157826,0.0000359679],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9702095,"threshold_uncertainty_score":0.7088234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02419377585177074,"score_gpt":0.2810742643462575,"score_spread":0.2568804884944868,"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."}}