{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004155105,0.000391261,0.0005455291,0.0002057076,0.0001569814,0.00005144494,0.0003426051,0.0009927145,0.00007213122],"category_scores_gemma":[0.0003728043,0.0004182159,0.0001551788,0.0000600469,0.0005264331,0.00006443761,0.0001435671,0.000616844,0.00003171286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001046406,"about_ca_system_score_gemma":0.00007049058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002947648,"about_ca_topic_score_gemma":0.00009292308,"domain_scores_codex":[0.9984536,0.00001476087,0.0005398121,0.0005504541,0.00008966323,0.0003517178],"domain_scores_gemma":[0.9983701,0.0008310131,0.00009343847,0.0005802576,0.0000905998,0.00003456921],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000008518537,0.000005521208,0.000005857903,0.0001113886,0.0000595062,0.00001246547,0.00003784851,0.002380392,0.0006777081,0.4188231,0.00004555326,0.5778321],"study_design_scores_gemma":[0.00002403676,0.0001150117,0.000008249236,0.0001629617,0.00008549408,0.00001045724,0.0003655868,0.04701543,0.1427826,0.7836053,0.0251093,0.0007155387],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0010291,0.005075344,0.963654,0.0007935018,0.0006412318,0.0007614461,0.00006613247,0.00526492,0.02271431],"genre_scores_gemma":[0.716614,0.002165827,0.261098,0.0001646294,0.0002329662,0.0003269966,0.0001121857,0.0003656453,0.01891975],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7155849,"threshold_uncertainty_score":0.999827,"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."}}