{"id":"W4399370008","doi":"10.1139/dsa-2024-0005","title":"Multi-sensor data fusion for autonomous flight of unmanned aerial vehicles in complex flight environments","year":2024,"lang":"en","type":"article","venue":"Drone Systems and Applications","topic":"Advanced Measurement and Detection Methods","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sensor fusion; Aeronautics; Drone; Computer science; Remote sensing; Aerospace engineering; Artificial intelligence; Engineering; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007005302,0.0005410353,0.0004576266,0.0008729816,0.0004866774,0.0005147937,0.0004047063,0.0003962079,0.0004867354],"category_scores_gemma":[0.001135182,0.0002108095,0.0004708675,0.0007780634,0.0002380498,0.001426007,0.0008530416,0.0005333557,0.0001756536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003816894,"about_ca_system_score_gemma":0.0007361331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003787076,"about_ca_topic_score_gemma":0.003228764,"domain_scores_codex":[0.9994853,0.00008937548,0.00003550763,0.0001259942,0.0002201388,0.0000436467],"domain_scores_gemma":[0.9996502,0.00006826389,0.00005659831,0.0000591774,0.0001469369,0.00001876446],"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":[0.000260428,0.0001306,0.006144537,0.0002488306,0.0001626876,0.000182014,0.0004495589,0.3395441,0.08627219,0.00490084,0.001881498,0.5598227],"study_design_scores_gemma":[0.00001234432,0.0001197035,0.004152972,0.0000144707,0.00003546699,0.00005298595,0.0001282437,0.9697733,0.0204444,0.00250187,0.002735249,0.00002899616],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0796477,0.0005740836,0.9175498,0.0001329977,0.0001003108,0.00003880221,0.00007169448,0.0005052899,0.001379311],"genre_scores_gemma":[0.8725908,0.0003503706,0.1258625,0.000064933,0.00002677324,0.00005271383,0.0001820447,0.00002967238,0.0008401996],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003787076,"threshold_uncertainty_score":0.007530034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07865978649930608,"score_gpt":0.3155582971597792,"score_spread":0.2368985106604731,"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."}}