{"id":"W3157481245","doi":"10.1007/s10514-021-09979-4","title":"Semantic visual SLAM in dynamic environment","year":2021,"lang":"en","type":"article","venue":"Autonomous Robots","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":53,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Reprojection error; Artificial intelligence; Simultaneous localization and mapping; Computer vision; RGB color model; Segmentation; Semantic mapping; Pixel; State (computer science); Image (mathematics); Robot; Algorithm; Mobile robot","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":[0.0003253049,0.0004702749,0.0007358663,0.0006982583,0.0004273684,0.0009550269,0.0006157382,0.0004890703,0.001207681],"category_scores_gemma":[0.001153841,0.000404041,0.000411357,0.001403161,0.0006753718,0.001642889,0.001354051,0.0006997358,0.0005213162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004006764,"about_ca_system_score_gemma":0.0007644766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006169851,"about_ca_topic_score_gemma":0.006676058,"domain_scores_codex":[0.9996278,0.00006263293,0.00001502749,0.00009710016,0.0001388786,0.0000585664],"domain_scores_gemma":[0.9997588,0.00005406115,0.00003722233,0.00006942563,0.00006178524,0.00001881065],"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":[0.0003749679,0.00009254379,0.001460847,0.0002829916,0.0001075387,0.0002527952,0.0002342504,0.5211227,0.02717866,0.04939597,0.007049575,0.3924472],"study_design_scores_gemma":[0.0000119664,0.00003663226,0.0009110973,0.00001187589,0.00001063455,0.00006025205,0.0000641666,0.9673775,0.003729352,0.02508607,0.002688942,0.00001156399],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02900962,0.0004560457,0.966731,0.0001330559,0.0001030294,0.00001275408,0.0001350222,0.0008913755,0.002528075],"genre_scores_gemma":[0.8680786,0.0005923801,0.1265543,0.00008433691,0.00007296552,0.00002816999,0.0005592311,0.0001640745,0.00386605],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006169851,"threshold_uncertainty_score":0.01226789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004858096576331655,"score_gpt":0.2014151424008672,"score_spread":0.1965570458245355,"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."}}