{"id":"W4390871908","doi":"10.1109/iccv51070.2023.00760","title":"Towards Zero Domain Gap: A Comprehensive Study of Realistic LiDAR Simulation for Autonomy Testing","year":2023,"lang":"en","type":"article","venue":"","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Lidar; Computer science; Leverage (statistics); Robustness (evolution); Autonomy; Simulation; Computer vision; Real-time computing; Artificial intelligence; Remote sensing; Geography","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":[0.001152179,0.0004191649,0.0004574535,0.0004942359,0.0005021241,0.000976461,0.0009926599,0.001038186,0.001003214],"category_scores_gemma":[0.006681357,0.0002748792,0.0005746254,0.0003245909,0.001090835,0.001374708,0.00124945,0.001055898,0.0001095995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008345295,"about_ca_system_score_gemma":0.0008481583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004304766,"about_ca_topic_score_gemma":0.002087746,"domain_scores_codex":[0.9993562,0.0002665366,0.00002336633,0.00006946912,0.0001994052,0.00008495364],"domain_scores_gemma":[0.9967508,0.002238345,0.0002492444,0.0003635323,0.000260605,0.0001374665],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000691428,0.000138076,0.002977615,0.0000809937,0.00002500259,0.0000991839,0.0001739057,0.973225,0.00312134,0.01311623,0.000333645,0.006639767],"study_design_scores_gemma":[0.00001008343,0.0000494211,0.0003260384,0.00001256022,0.000003931488,0.00002546133,0.00004805046,0.9951676,0.001267194,0.002525555,0.0005577434,0.000006460063],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6617185,0.000694831,0.3175882,0.0008002984,0.00009531144,0.0002385451,0.0003621871,0.0006653853,0.01783671],"genre_scores_gemma":[0.9698639,0.0001785563,0.02910221,0.00008653839,0.00001198246,0.00006942755,0.000119576,0.0001021345,0.0004655548],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004304766,"threshold_uncertainty_score":0.008559406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06276687160313914,"score_gpt":0.2961898861033188,"score_spread":0.2334230145001796,"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."}}