{"id":"W3003342783","doi":"10.4271/2020-01-0136","title":"LiDAR and Camera-Based Convolutional Neural Network Detection for Autonomous Driving","year":2020,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor; National Research Council Canada","funders":"","keywords":"Convolutional neural network; Computer science; Lidar; Artificial intelligence; Computer vision; Remote sensing; Geology","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":[0.0002038376,0.0003754221,0.0002099862,0.0006465775,0.0001671568,0.0003480169,0.0006338781,0.0004654675,0.002446391],"category_scores_gemma":[0.0004732113,0.0002745057,0.0002354028,0.00043101,0.0001066889,0.000418837,0.0003628153,0.0003475634,0.000835843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005375145,"about_ca_system_score_gemma":0.0006080246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01380083,"about_ca_topic_score_gemma":0.01964604,"domain_scores_codex":[0.9998511,0.0000111703,0.000004025201,0.00004553121,0.00006054151,0.00002760594],"domain_scores_gemma":[0.9998854,0.00001803877,0.000009772983,0.00001217895,0.00006492642,0.00000956916],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003774194,0.0002257777,0.005271514,0.0001263275,0.00008177826,0.0002189855,0.00007246203,0.1104005,0.1001809,0.002743736,0.01130237,0.7689982],"study_design_scores_gemma":[0.00000523935,0.00003337219,0.002508728,0.000008792001,0.000009211452,0.00004319044,0.00001143609,0.9805163,0.01388801,0.0006290459,0.002337118,0.000009563234],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3017566,0.001733139,0.6681893,0.0006261688,0.0003968478,0.0001575221,0.001412848,0.008325692,0.01740181],"genre_scores_gemma":[0.878778,0.0004118012,0.1080792,0.0001439994,0.00004850509,0.00005437786,0.001156784,0.0001029324,0.01122448],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01380083,"threshold_uncertainty_score":0.02744102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01576240465777357,"score_gpt":0.2478786130705275,"score_spread":0.2321162084127539,"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."}}