{"id":"W3045897451","doi":"10.3390/s20154220","title":"Deep Learning Sensor Fusion for Autonomous Vehicle Perception and Localization: A Review","year":2020,"lang":"en","type":"review","venue":"Sensors","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":469,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Perception; Computer science; Sensor fusion; Set (abstract data type); Anticipation (artificial intelligence); Human–computer interaction; Range (aeronautics); Artificial intelligence; Deep learning; Real-time computing; Engineering; Simulation","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":[0.0007666828,0.001030221,0.0008366844,0.001230055,0.0002032606,0.0009605716,0.001322457,0.001178059,0.001852467],"category_scores_gemma":[0.001304559,0.0004175695,0.0007834496,0.001935554,0.000402954,0.001712571,0.0007902868,0.001156754,0.0009716548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004352674,"about_ca_system_score_gemma":0.0007845467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002168196,"about_ca_topic_score_gemma":0.001374181,"domain_scores_codex":[0.9996783,0.00004564093,0.0000427036,0.00007829221,0.0001292223,0.00002592541],"domain_scores_gemma":[0.9994082,0.0003157894,0.00005007876,0.00002653436,0.0001773675,0.00002195819],"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":[0.00006333235,0.0001053668,0.0009570193,0.005051742,0.000177162,0.0001076875,0.00008546831,0.01243083,0.003349543,0.006790935,0.0111501,0.9597309],"study_design_scores_gemma":[0.00003767713,0.001135654,0.006380445,0.005349676,0.001003339,0.001885754,0.0003427896,0.2054419,0.02059413,0.02169914,0.7358662,0.0002632886],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.005201914,0.8719947,0.1129361,0.001315847,0.0008788014,0.0000616087,0.0001854155,0.0003328744,0.007092734],"genre_scores_gemma":[0.05087147,0.9111677,0.03157319,0.0006448458,0.0009348132,0.00008862116,0.0005768859,0.00006032485,0.004082107],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002168196,"threshold_uncertainty_score":0.006197095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03555695354953219,"score_gpt":0.3170844727122842,"score_spread":0.281527519162752,"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."}}