{"id":"W4387623867","doi":"10.1109/tits.2023.3321309","title":"Toward Ensuring Safety for Autonomous Driving Perception: Standardization Progress, Research Advances, and Perspectives","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Intelligent Transportation Systems","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Standardization; Risk analysis (engineering); Perception; Systems engineering; Engineering; Computer science; Engineering ethics; Transport engineering; Business; Psychology; Neuroscience","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":[0.03525667,0.001390397,0.001330829,0.006460967,0.0013002,0.01020085,0.004162669,0.003489131,0.003380944],"category_scores_gemma":[0.03902778,0.0008503522,0.001187446,0.006170881,0.005986294,0.02013684,0.00494715,0.005758546,0.001899626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0040848,"about_ca_system_score_gemma":0.01151731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004458494,"about_ca_topic_score_gemma":0.001842023,"domain_scores_codex":[0.9870731,0.003226627,0.001459301,0.002121508,0.005328463,0.0007909426],"domain_scores_gemma":[0.9294118,0.02444668,0.002516398,0.007874357,0.03400106,0.001749744],"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":[0.000107561,0.0002460518,0.003720795,0.004746274,0.00008409462,0.00008728002,0.001739412,0.006261569,0.002923668,0.3142966,0.01206266,0.6537241],"study_design_scores_gemma":[0.00003775422,0.0007846078,0.005863328,0.010967,0.0002251259,0.0007628581,0.006926656,0.02846556,0.01002093,0.3884799,0.5472048,0.0002615272],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.01970312,0.4007731,0.4822387,0.03812281,0.004189551,0.0004193661,0.0004136463,0.0009557074,0.05318408],"genre_scores_gemma":[0.2212325,0.4817517,0.2740658,0.006381652,0.005006817,0.0005383597,0.002204521,0.0005554401,0.008263207],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.03525667,"threshold_uncertainty_score":0.1864573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05234882342172713,"score_gpt":0.3049922760207986,"score_spread":0.2526434525990714,"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."}}