{"id":"W2889923199","doi":"10.1109/icra.2018.8460519","title":"Autonomous Vehicle Navigation in Rural Environments Without Detailed Prior Maps","year":2018,"lang":"en","type":"article","venue":"","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":146,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Waypoint; Computer science; Odometry; Benchmark (surveying); Trajectory; Frame (networking); Real-time computing; Artificial intelligence; Mobile robot; Computer vision; Global Positioning System; Robot; Geography; Telecommunications","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":[0.00005087437,0.00008128654,0.00007944719,0.00004128201,0.00003018729,0.00002000543,0.00004921784,0.00005481623,0.00009123314],"category_scores_gemma":[0.000004303967,0.00007961331,0.00001538239,0.00007759103,0.00002439489,0.00008802905,0.000009436244,0.00005263366,0.0002387895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008894283,"about_ca_system_score_gemma":0.000004818093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002331179,"about_ca_topic_score_gemma":0.00005088374,"domain_scores_codex":[0.9995163,0.00001155233,0.0001535487,0.00008533754,0.00008553467,0.0001477358],"domain_scores_gemma":[0.9998193,0.000006609311,0.00001340688,0.0001157968,0.000007360371,0.0000375508],"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":[0.00004149407,0.0001278202,0.1845998,0.00006230101,0.000046204,0.00001310469,0.001191368,0.5965849,0.1771385,0.001832588,0.0005841391,0.0377778],"study_design_scores_gemma":[0.0005058372,0.00003701833,0.03648661,0.00002046133,0.000004948967,0.000001371652,0.00004664746,0.933979,0.02773573,0.0001428284,0.0008946757,0.0001448153],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9594808,0.00001506645,0.03799486,0.00002909353,0.0001319817,0.0001289922,0.000001213869,0.0001048482,0.002113186],"genre_scores_gemma":[0.9978186,0.000005769608,0.001671334,0.00003771403,0.0000538135,0.000005468328,0.00002767905,0.00002012238,0.0003595074],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3373942,"threshold_uncertainty_score":0.3246537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006430709297873504,"score_gpt":0.2027611254150328,"score_spread":0.1963304161171593,"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."}}