{"id":"W2153771616","doi":"10.1109/icnsc.2007.372858","title":"A Centralized Omnidirectional Multi-Camera System with Peripherally-Guided Active Vision and Depth Perception","year":2007,"lang":"en","type":"article","venue":"","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Computer vision; Omnidirectional antenna; Catadioptric system; Omnidirectional camera; Artificial intelligence; Computer science; Active vision; Stereo camera; Perspective (graphical); Triangulation; Computer graphics (images); Field of view; Lens (geology); Optics; Mathematics; Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.0001006121,0.0001475032,0.000138426,0.00007434212,0.00008672066,0.00004660024,0.00002956923,0.00007783867,0.00005418808],"category_scores_gemma":[0.000005835964,0.0001159764,0.00002738666,0.0001243344,0.00002536044,0.0001338125,0.00000615227,0.00007905131,0.000009247826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000186005,"about_ca_system_score_gemma":0.000009417108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001202806,"about_ca_topic_score_gemma":0.0002633435,"domain_scores_codex":[0.9992678,0.00001947189,0.0001760741,0.0001702922,0.000162101,0.000204314],"domain_scores_gemma":[0.9996881,0.00002836793,0.00002318623,0.00008718081,0.00007574675,0.00009740155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004559399,0.0001778461,0.008363918,0.000376428,0.0002233816,0.00004466344,0.002267066,0.8321162,0.1132207,0.003421386,0.0008415866,0.03849092],"study_design_scores_gemma":[0.001426189,0.00007394056,0.08580974,0.00006984318,0.00002044782,0.0000587642,0.001118754,0.9081394,0.002617236,0.000001753289,0.000427836,0.0002360821],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4023839,0.00002173937,0.5943854,0.00001699172,0.0001120243,0.0001654324,0.000001701073,0.0002992979,0.002613461],"genre_scores_gemma":[0.9806172,0.00003522761,0.01901518,0.0000321955,0.00005493201,0.000004202494,0.00002513775,0.00003069399,0.000185222],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5782333,"threshold_uncertainty_score":0.4729381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0113310891748682,"score_gpt":0.237666687460644,"score_spread":0.2263355982857758,"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."}}