{"id":"W2159796823","doi":"10.1109/cca.2000.897437","title":"Heading-aided odometry and range-data integration for positioning of autonomous mining vehicles","year":2002,"lang":"en","type":"article","venue":"","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Odometry; Inclinometer; Heading (navigation); Global Positioning System; Kalman filter; Computer vision; Computer science; Visual odometry; Artificial intelligence; Gyroscope; Engineering; Mobile robot; Robot; Geodesy; Aerospace engineering; Geology","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":[0.00008776427,0.00007305557,0.0001156861,0.0001372599,0.00004923573,0.00002566227,0.0001066992,0.00007113925,0.0000306769],"category_scores_gemma":[0.0001031772,0.00006918277,0.00001670795,0.0001410652,0.00003143638,0.000181562,0.00003044112,0.00004066822,0.000002013596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001758095,"about_ca_system_score_gemma":0.00000178118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006389675,"about_ca_topic_score_gemma":0.000009807666,"domain_scores_codex":[0.9995856,0.000004558707,0.0001507428,0.0001068341,0.00004840608,0.0001038813],"domain_scores_gemma":[0.9996763,0.0000856148,0.00002326319,0.0001674492,0.00003174487,0.00001563301],"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":[0.0000425635,0.0001011431,0.01123198,0.001128881,0.0002643516,0.000004695862,0.004290481,0.01283256,0.09751559,0.03581388,0.0430849,0.793689],"study_design_scores_gemma":[0.0003985058,0.00004632902,0.0003107454,0.00005539682,0.00001780656,0.000004956028,0.0006814825,0.9090176,0.08853418,0.0002508138,0.0005562629,0.0001259692],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3503763,0.001297501,0.6436423,0.0002253399,0.0001440152,0.0002334566,0.00003991783,0.0008512036,0.003189951],"genre_scores_gemma":[0.97612,0.00008269636,0.02358239,0.00002247322,0.00001999116,0.000007892428,0.00002978056,0.00001381945,0.0001209554],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.896185,"threshold_uncertainty_score":0.2821192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03836756312199486,"score_gpt":0.2398457966575645,"score_spread":0.2014782335355696,"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."}}