{"id":"W2890965859","doi":"10.3390/s18092952","title":"An Autonomous Vehicle Navigation System Based on Inertial and Visual Sensors","year":2018,"lang":"en","type":"article","venue":"Sensors","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Fundamental Research Funds for the Central Universities; Natural Science Foundation of Heilongjiang Province; China Scholarship Council","keywords":"Inertial measurement unit; Inertial navigation system; Gyroscope; Navigation system; Computer science; Reliability (semiconductor); Wind triangle; Computer vision; Artificial intelligence; Inertial frame of reference; Engineering; Simulation; Robot; Mobile robot; Aerospace engineering","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":[0.0001456774,0.0001771672,0.0001713341,0.0001118338,0.0001553954,0.00002243508,0.00008078508,0.0002337572,0.00001603848],"category_scores_gemma":[0.000009758812,0.0001793508,0.00002951608,0.0001431351,0.0001540953,0.00007240594,0.00001197266,0.0002071094,0.0001428581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001042939,"about_ca_system_score_gemma":0.00001515977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002208325,"about_ca_topic_score_gemma":0.000006354307,"domain_scores_codex":[0.9991236,0.00004934604,0.0002013731,0.0002501576,0.0001064474,0.0002690416],"domain_scores_gemma":[0.9995739,0.00003710242,0.00003179661,0.0002302707,0.00003565193,0.00009126357],"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":[0.00078613,0.0004368577,0.01510267,0.0006929555,0.0002620632,0.0005199302,0.004471212,0.6129168,0.2325342,0.008601377,0.000513827,0.1231619],"study_design_scores_gemma":[0.0003593707,0.0002957837,0.00671943,0.00003506574,0.00001280816,0.00002247725,0.0002324431,0.94906,0.04271299,0.0000131112,0.0003287229,0.000207794],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953933,0.0000115634,0.0004243089,0.0000695605,0.0002442721,0.000141584,0.000007601347,0.001726054,0.001981717],"genre_scores_gemma":[0.9993507,9.306409e-7,0.0003226303,0.00003926045,0.0001939884,0.00000647627,0.00001320636,0.00004141466,0.00003143183],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3361432,"threshold_uncertainty_score":0.7313715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004866560607590487,"score_gpt":0.2206329853136157,"score_spread":0.2157664247060252,"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."}}