{"id":"W3111109699","doi":"10.1109/smc42975.2020.9283161","title":"Stereo Visual SLAM for Autonomous Vehicles: A Review","year":2020,"lang":"en","type":"review","venue":"","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Simultaneous localization and mapping; Artificial intelligence; Computer vision; Computer science; Robotics; Stereopsis; Stereo cameras; Global Positioning System; Field (mathematics); Trajectory; Stereo camera; Modalities; Lidar; Robot; Mobile robot; Geography; Remote sensing; Mathematics; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00008877986,0.0003467304,0.001378614,0.00005547456,0.00002701883,0.00004140591,0.0001598541,0.0001826056,0.00009184744],"category_scores_gemma":[0.0000377609,0.0002850866,0.0004408157,0.0001492395,0.000008575928,0.00002582479,0.00002108426,0.0001602036,0.0002025133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001008962,"about_ca_system_score_gemma":0.0000773579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001760614,"about_ca_topic_score_gemma":0.000001490904,"domain_scores_codex":[0.9988149,0.00003049999,0.0005936236,0.0002485554,0.0001011245,0.0002113409],"domain_scores_gemma":[0.9995047,0.00008898304,0.00007308965,0.0001992087,0.00003769359,0.00009636679],"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":[2.169138e-7,0.000005322873,1.177242e-8,0.1494239,0.00007250389,0.000003134434,0.000003831168,0.0003025888,6.833221e-8,0.000326174,0.01277373,0.8370885],"study_design_scores_gemma":[0.0000610559,0.00003547594,1.254308e-8,0.02301146,0.0005097022,0.000006128651,7.860539e-7,0.03321284,5.89031e-7,0.000006477722,0.9428493,0.0003062129],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[7.012516e-9,0.934248,0.06207434,0.00003530964,0.0002296718,0.001320085,0.0000278232,0.0003525562,0.001712166],"genre_scores_gemma":[2.170779e-7,0.9967819,0.001544195,0.0002437107,0.0002116254,0.0001553031,0.0003109264,0.0001272173,0.0006248431],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9300755,"threshold_uncertainty_score":0.9999601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04056992058636589,"score_gpt":0.3176481565576313,"score_spread":0.2770782359712654,"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."}}