{"id":"W4317892891","doi":"10.1109/iccspa55860.2022.10019159","title":"Road Boundary Detection using Camera and mmwave Radar","year":2022,"lang":"en","type":"article","venue":"","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Visibility; Lidar; Computer science; Radar; Remote sensing; Object detection; Extremely high frequency; Weather radar; Artificial intelligence; Computer vision; Environmental science; Meteorology; Geology; Geography; Telecommunications","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":[0.0003645541,0.0007211912,0.000700103,0.002268668,0.0002631096,0.0009517251,0.0008847978,0.001414281,0.001430162],"category_scores_gemma":[0.001014123,0.0004767362,0.000585828,0.0007587857,0.0002290743,0.002148735,0.001063384,0.0007147861,0.001708003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003002211,"about_ca_system_score_gemma":0.0003471038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001166172,"about_ca_topic_score_gemma":0.001574701,"domain_scores_codex":[0.9989951,0.0001001649,0.00003561123,0.0002585222,0.0005031708,0.0001074713],"domain_scores_gemma":[0.9993939,0.00008876153,0.00009425288,0.00008910536,0.0002826183,0.00005139402],"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":[0.0002346011,0.000179461,0.003462114,0.0002533373,0.00009161855,0.0003532609,0.0001694116,0.008313786,0.4588182,0.001841706,0.00338768,0.5228949],"study_design_scores_gemma":[0.00008938232,0.0006073981,0.02169747,0.0001069941,0.0002107002,0.002623836,0.000344951,0.4892771,0.4537933,0.002508306,0.02855769,0.0001828431],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07768629,0.001221852,0.9108993,0.00014897,0.0002338416,0.0001075148,0.000175797,0.002512899,0.007013594],"genre_scores_gemma":[0.3521818,0.0008219649,0.6407551,0.0002865636,0.000188964,0.0000907049,0.00056134,0.000163292,0.004950304],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002268668,"threshold_uncertainty_score":0.004784346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006940414318273064,"score_gpt":0.1897490663730966,"score_spread":0.1828086520548236,"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."}}