{"id":"W2249219900","doi":"10.1109/smc.2015.334","title":"A Novel Machine Vision Approach Applied for Autonomous Robotics Navigation","year":2015,"lang":"en","type":"article","venue":"","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Artificial intelligence; Robotics; Robot; Computer vision; Obstacle; Computer science; Machine vision; Measure (data warehouse); Autonomous robot; Mobile robot; Obstacle avoidance; Data mining","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":[0.0002406883,0.0005593786,0.0005582359,0.0009195691,0.0003433229,0.0006658974,0.0007659512,0.00123734,0.00116113],"category_scores_gemma":[0.0004267345,0.0002348631,0.0005451662,0.000676612,0.0004772539,0.0008762727,0.0006103261,0.0007378911,0.0008144932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003034614,"about_ca_system_score_gemma":0.0004960775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007922273,"about_ca_topic_score_gemma":0.0008618219,"domain_scores_codex":[0.9996461,0.00003944627,0.00001479756,0.00009674247,0.0001753684,0.0000275065],"domain_scores_gemma":[0.999863,0.00002810684,0.0000151621,0.00001731959,0.00006473225,0.00001167404],"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":[0.00008560697,0.00008511276,0.0006054694,0.0005466041,0.0001103089,0.0005811868,0.0001656091,0.03241568,0.2101319,0.047077,0.005635627,0.7025599],"study_design_scores_gemma":[0.0000446671,0.0004533973,0.001624335,0.00008622348,0.00008343911,0.002515548,0.00006608929,0.7811605,0.07827746,0.03164576,0.1039244,0.0001181786],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001649056,0.0009017984,0.9950435,0.00008124553,0.0001766897,0.00002904747,0.00001895814,0.0003874952,0.001712192],"genre_scores_gemma":[0.1256994,0.00171977,0.8658733,0.0002939837,0.0002771016,0.0001476656,0.0001154872,0.00007732084,0.00579602],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00123734,"threshold_uncertainty_score":0.003884375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02535948373505421,"score_gpt":0.2352800344691535,"score_spread":0.2099205507340993,"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."}}