{"id":"W4388561800","doi":"10.1109/dasc58513.2023.10311189","title":"A Hybrid Framework for Object Distance Estimation using a Monocular Camera","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; University of Ottawa","funders":"","keywords":"Artificial intelligence; Computer science; Computer vision; Minimum bounding box; Object detection; Monocular; Range (aeronautics); Bounding overwatch; Pixel; Field of view; Pattern recognition (psychology); Image (mathematics)","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":[0.0007057711,0.001186026,0.001285326,0.001135935,0.0003342531,0.001114997,0.002710555,0.001135175,0.002723598],"category_scores_gemma":[0.001255152,0.0005680467,0.001149962,0.00113546,0.0004319676,0.001610551,0.001632396,0.001140516,0.001652681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008658441,"about_ca_system_score_gemma":0.001132024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01345584,"about_ca_topic_score_gemma":0.01253911,"domain_scores_codex":[0.9991243,0.0001041544,0.00002864729,0.0003824979,0.0002639705,0.0000964013],"domain_scores_gemma":[0.9995887,0.00006808979,0.00004902337,0.0000872329,0.000172161,0.00003490382],"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":[0.0001746637,0.0001344996,0.001568852,0.0001953407,0.0002014385,0.0001896171,0.0001114199,0.1926608,0.02923594,0.016783,0.006369443,0.752375],"study_design_scores_gemma":[0.000007257924,0.00005389536,0.0004414739,0.00001229599,0.00001594162,0.0001142261,0.00001184241,0.9895015,0.004237018,0.002933825,0.002656627,0.00001409878],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003065868,0.000402894,0.9949983,0.00005327706,0.00002467316,0.00002121115,0.00006791325,0.0007453145,0.0006205418],"genre_scores_gemma":[0.1578091,0.0009204439,0.8329397,0.0003078466,0.0001221064,0.000153054,0.0009218557,0.0003065086,0.006519326],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01345584,"threshold_uncertainty_score":0.02675503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03211666438954863,"score_gpt":0.3422292206389159,"score_spread":0.3101125562493672,"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."}}