{"id":"W2118114969","doi":"10.1109/ccece.2006.277812","title":"Corridor Line Detection for Vision Based Indoor Robot Navigation","year":2006,"lang":"en","type":"article","venue":"","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Computer vision; Computer science; Robustness (evolution); Robot; Vanishing point; Artificial intelligence; Mobile robot; Line (geometry); Intersection (aeronautics); Ground plane; Simulation; Image (mathematics); Engineering; Mathematics","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":[0.0002099359,0.0003705508,0.0002746177,0.000758554,0.000252539,0.0002968193,0.0005676886,0.0004395086,0.002270657],"category_scores_gemma":[0.0007028168,0.0002149494,0.0002123795,0.000396697,0.000251858,0.0005082488,0.0003375526,0.0003088105,0.0006933692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002779096,"about_ca_system_score_gemma":0.0003650674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002410934,"about_ca_topic_score_gemma":0.003552342,"domain_scores_codex":[0.9997923,0.00004659194,0.000007272702,0.00004672766,0.00008015907,0.00002688216],"domain_scores_gemma":[0.9997415,0.00008419243,0.00003504054,0.00003398183,0.00008604798,0.00001926646],"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":[0.0005272335,0.00008860994,0.001391672,0.0002235293,0.00003973466,0.0002625322,0.00008010228,0.02391468,0.304197,0.002166474,0.003971714,0.6631366],"study_design_scores_gemma":[0.00006631923,0.000551224,0.006905921,0.00005549863,0.00004796524,0.000804499,0.00007242321,0.8076159,0.1695579,0.003415038,0.01082559,0.00008180916],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04694083,0.0007280874,0.9456139,0.00007147737,0.00004469021,0.00005715431,0.0001122398,0.004380715,0.002050787],"genre_scores_gemma":[0.5602307,0.0004617413,0.4363215,0.0000728163,0.00004149731,0.0001163504,0.0003521567,0.00008609175,0.002317281],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002410934,"threshold_uncertainty_score":0.007596135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006358937090533056,"score_gpt":0.2112562746636289,"score_spread":0.2048973375730958,"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."}}