{"id":"W2888102724","doi":"10.3390/s18092776","title":"Radar and Visual Odometry Integrated System Aided Navigation for UAVS in GNSS Denied Environment","year":2018,"lang":"en","type":"article","venue":"Sensors","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"GNSS applications; Visual odometry; Odometry; Radar; Computer science; Computer vision; Artificial intelligence; Remote sensing; Engineering; Aerospace engineering; Global Positioning System; Geography; Robot; Mobile robot; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00009471867,0.0001182667,0.0001445521,0.0001187684,0.00004350293,0.00002393998,0.00003058533,0.00009198852,0.000006114675],"category_scores_gemma":[0.00001899848,0.000117224,0.00002229865,0.0001473954,0.00003787293,0.0000403468,0.000007307265,0.00006304035,0.00001793123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001404141,"about_ca_system_score_gemma":0.000005168006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002667326,"about_ca_topic_score_gemma":0.00001129182,"domain_scores_codex":[0.9993411,0.00002778415,0.0002136738,0.0001528895,0.00009695242,0.000167604],"domain_scores_gemma":[0.9997699,0.00004928314,0.00002636727,0.00008200169,0.00002329215,0.0000491857],"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":[0.0002513241,0.0001166903,0.00435126,0.001137321,0.0001577547,0.00003745043,0.002677922,0.8577909,0.1118387,0.003178201,0.0005329551,0.01792943],"study_design_scores_gemma":[0.0006623133,0.00009046849,0.00109518,0.00009149326,0.00001359845,0.000005855596,0.0006861527,0.974926,0.02170011,0.00002207199,0.0005454024,0.0001613512],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9418147,0.00005375887,0.05744466,0.00001483346,0.0001853888,0.0002683667,0.000009374727,0.0001011594,0.0001078014],"genre_scores_gemma":[0.9971589,0.00001713527,0.002591782,0.000009974355,0.00008062337,0.000008033302,0.00006367229,0.0000316333,0.00003824794],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.117135,"threshold_uncertainty_score":0.4780255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006713978686816707,"score_gpt":0.2095864698490472,"score_spread":0.2028724911622305,"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."}}