{"id":"W3124408909","doi":"10.11575/prism/38573","title":"Wheel Odometry Aided Visual-Inertial Odometry in Winter Urban Environments","year":2021,"lang":"en","type":"dissertation","venue":"Open MIND","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Odometry; Visual odometry; Computer vision; Artificial intelligence; Inertial measurement unit; Inertial frame of reference; Geography; Computer science; Robot; Physics; Mobile robot","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004364946,0.001087171,0.0008906662,0.0008941414,0.0004879325,0.0008920999,0.001505252,0.0006079233,0.001448318],"category_scores_gemma":[0.0009662004,0.0003677599,0.0007035428,0.001772088,0.0003822369,0.0006711186,0.00124044,0.0006336156,0.001346133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006308847,"about_ca_system_score_gemma":0.00114738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0979744,"about_ca_topic_score_gemma":0.1321803,"domain_scores_codex":[0.9995096,0.00006103892,0.00002576296,0.0001612467,0.0001380747,0.0001042836],"domain_scores_gemma":[0.9996548,0.00004300764,0.00004357956,0.000101127,0.0001316992,0.00002575698],"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":[0.0006486435,0.0005166283,0.05598353,0.0005973376,0.0003182245,0.0004440175,0.0002229356,0.4206425,0.0179471,0.001314975,0.01681234,0.4845517],"study_design_scores_gemma":[0.00007702476,0.0001809313,0.06869812,0.00007781047,0.00008969777,0.0001746042,0.0004085139,0.8958196,0.01578423,0.001292048,0.01732223,0.00007524501],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7050657,0.001839915,0.2570725,0.0003156267,0.0002754694,0.0003283777,0.02048739,0.00613366,0.008481428],"genre_scores_gemma":[0.8664178,0.0006037571,0.09279671,0.00007028854,0.0000430916,0.0001482477,0.03556412,0.0001384438,0.00421765],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0979744,"threshold_uncertainty_score":0.1948083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02722171039725693,"score_gpt":0.2854454013355454,"score_spread":0.2582236909382885,"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."}}