{"id":"W4401344624","doi":"10.1088/1742-6596/2798/1/012033","title":"A review of SLAM techniques and applications in unmanned aerial vehicles","year":2024,"lang":"en","type":"review","venue":"Journal of Physics Conference Series","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Simultaneous localization and mapping; Extended Kalman filter; Robustness (evolution); Robotics; Computer science; Kalman filter; Artificial intelligence; Drone; Relation (database); Computer vision; Robot; Real-time computing; Mobile robot; Data mining","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":[0.0001356887,0.0001963683,0.00102908,0.0001162882,0.00001221814,0.00003636466,0.0001320444,0.0000959171,0.000003243634],"category_scores_gemma":[0.00001318282,0.0001506264,0.0001589619,0.0002870949,0.00005479509,0.0001300951,0.00002360167,0.0002751686,0.000001023262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003393625,"about_ca_system_score_gemma":0.0001430185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001608488,"about_ca_topic_score_gemma":0.000001838099,"domain_scores_codex":[0.998971,0.00003722291,0.0007074372,0.00008454415,0.0001138909,0.00008593154],"domain_scores_gemma":[0.9993727,0.00003582595,0.0002769623,0.0001222795,0.0001598801,0.00003232795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001412005,0.00001327041,3.431977e-7,0.1371083,0.00006406159,0.000004155397,0.00004279354,0.00003581995,0.00001474434,0.01468483,0.0001977839,0.8478324],"study_design_scores_gemma":[0.00005551723,0.00007935846,3.278398e-7,0.2064625,0.0006374452,0.0000407865,0.00002758171,0.00007806795,0.0006649672,0.004413072,0.7873131,0.0002273219],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000002338221,0.9947788,0.004591647,0.00001603151,0.00008505033,0.0002794201,0.0000237078,0.00002108793,0.0002019886],"genre_scores_gemma":[0.0000961908,0.9990424,0.0005415569,0.000004399397,0.0002367793,0.00001866072,0.0000207462,0.00002870029,0.00001057868],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8476052,"threshold_uncertainty_score":0.6142368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03120216741407496,"score_gpt":0.2979434449711937,"score_spread":0.2667412775571188,"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."}}