{"id":"W4386249539","doi":"10.1109/crv60082.2023.00013","title":"Towards Open World NeRF-Based SLAM","year":2023,"lang":"en","type":"article","venue":"","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Rehabilitation Institute; University of Toronto","funders":"","keywords":"Simultaneous localization and mapping; Robustness (evolution); Computer science; Computer vision; Artificial intelligence; Visualization; Representation (politics); Grid; Robot; Mobile robot; 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":[0.001601297,0.0009078645,0.001104775,0.001025901,0.0004883354,0.001561687,0.0020722,0.001510416,0.002610393],"category_scores_gemma":[0.003763114,0.000644801,0.0009504302,0.001272528,0.00116444,0.002982462,0.004746909,0.002102092,0.001410811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006263114,"about_ca_system_score_gemma":0.0007866398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00408786,"about_ca_topic_score_gemma":0.0052025,"domain_scores_codex":[0.9984782,0.0003301815,0.00006367289,0.0002917871,0.0006150846,0.0002210428],"domain_scores_gemma":[0.998632,0.0003041764,0.0001023766,0.0004616808,0.0004249942,0.00007475634],"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":[0.0002514473,0.0001741525,0.001056793,0.0001992597,0.0001214119,0.000210432,0.0004250622,0.5402224,0.01583348,0.05071801,0.008556877,0.3822307],"study_design_scores_gemma":[0.00001705507,0.0000355205,0.000290322,0.00001967198,0.000007912337,0.00005715242,0.00005734455,0.9629232,0.003346553,0.02626014,0.006960529,0.00002470888],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004690364,0.00009550491,0.9921088,0.00007213346,0.00005444899,0.00001173504,0.00005773049,0.001830522,0.001078816],"genre_scores_gemma":[0.2881893,0.0002732284,0.7059658,0.000245926,0.00009752894,0.00009230844,0.001013493,0.0007058542,0.00341653],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00408786,"threshold_uncertainty_score":0.008732617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03198077404163329,"score_gpt":0.2610617017001339,"score_spread":0.2290809276585006,"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."}}