{"id":"W3115871817","doi":"10.5772/intechopen.95328","title":"Visibility-Based Technologies and Methodologies for Autonomous Driving","year":2021,"lang":"en","type":"book-chapter","venue":"Artificial intelligence","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Visibility; Obstacle; Computer science; Sight; Lidar; Computer vision; Segmentation; Identification (biology); Artificial intelligence; Orientation (vector space); Geography; Remote sensing","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004598555,0.001071624,0.0004616391,0.001319207,0.0006038995,0.002752868,0.001337656,0.0009964382,0.008920864],"category_scores_gemma":[0.001063114,0.0005243571,0.0006470146,0.00139293,0.001114785,0.003154712,0.001323524,0.001552438,0.003872632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009746278,"about_ca_system_score_gemma":0.0008227744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00160568,"about_ca_topic_score_gemma":0.001671581,"domain_scores_codex":[0.9994593,0.00008472557,0.00002956081,0.000112102,0.0002769495,0.00003740216],"domain_scores_gemma":[0.9997413,0.0001072204,0.0000211658,0.00003631896,0.00007811055,0.00001591951],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001240942,0.0000312684,0.0001932537,0.0007594347,0.00002792023,0.0001124679,0.0005101517,0.01009779,0.003370291,0.6646825,0.02196135,0.2982411],"study_design_scores_gemma":[0.000005106926,0.00004067895,0.0003182308,0.0003467356,0.0000166873,0.0003884255,0.0002300035,0.01956485,0.001786835,0.3268431,0.6504275,0.00003190666],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002159007,0.04780268,0.8049458,0.001096657,0.001185838,0.0001389183,0.000229875,0.001002666,0.1414385],"genre_scores_gemma":[0.08837043,0.07766481,0.6890822,0.0007561904,0.001451451,0.0003756417,0.0009220172,0.0007095954,0.1406676],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008920864,"threshold_uncertainty_score":0.02984333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07498361055953667,"score_gpt":0.2999801604335309,"score_spread":0.2249965498739943,"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."}}