{"id":"W1988035201","doi":"10.3390/s120100429","title":"Sensor Fusion of Monocular Cameras and Laser Rangefinders for Line-Based Simultaneous Localization and Mapping (SLAM) Tasks in Autonomous Mobile Robots","year":2012,"lang":"en","type":"article","venue":"Sensors","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Fundamental Research Funds for the Central Universities; Jinan University","keywords":"Simultaneous localization and mapping; Computer vision; Artificial intelligence; Extended Kalman filter; Homography; Computer science; Monocular; Sensor fusion; Kalman filter; Line (geometry); Fuse (electrical); Robot; Mobile robot; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001545909,0.0001863438,0.0002610519,0.0001951596,0.00005252428,0.00001829367,0.00003264332,0.0001549617,0.000005708215],"category_scores_gemma":[0.00007285805,0.0001961339,0.00003895854,0.0001830535,0.00004944036,0.00006544758,0.00001092067,0.00008261857,0.000001160489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005430775,"about_ca_system_score_gemma":0.00001142581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008207896,"about_ca_topic_score_gemma":0.00003649676,"domain_scores_codex":[0.9990584,0.00004063315,0.0003181926,0.0001808341,0.0001079206,0.0002940337],"domain_scores_gemma":[0.9994372,0.0002016537,0.00005915556,0.0001410566,0.00006519676,0.00009574224],"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":[0.0000275193,0.00003176087,0.002883048,0.0002388942,0.00001493303,0.000004057431,0.0006484877,0.9872326,0.004461212,0.00001971598,0.00001362869,0.004424108],"study_design_scores_gemma":[0.000962092,0.00006071198,0.0004827324,0.00006540109,0.00002441786,0.000003509708,0.0003306647,0.9823696,0.01485603,0.00001535224,0.0006135639,0.0002159],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8509651,0.000531019,0.1476965,0.00002649083,0.0001168522,0.0005385319,0.00001544945,0.00007348632,0.00003663402],"genre_scores_gemma":[0.9946418,0.0001103431,0.005003304,0.00004994043,0.0000507471,0.00001744249,0.00005050597,0.00005045259,0.0000254307],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1436767,"threshold_uncertainty_score":0.799811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01179473007011204,"score_gpt":0.2194794050942123,"score_spread":0.2076846750241003,"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."}}