{"id":"W2789990415","doi":"10.1155/2018/6392697","title":"Global and Local Path Planning Study in a ROS-Based Research Platform for Autonomous Vehicles","year":2018,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":167,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Motion planning; Trajectory; Point (geometry); Work (physics); Robotics; Software; Computer science; Path (computing); Robot; Collision avoidance; Collision; Simulation; Real-time computing; Artificial intelligence; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0006030604,0.0005583697,0.0003723775,0.0003482571,0.0002716473,0.0004027526,0.0006506147,0.0004188416,0.001291665],"category_scores_gemma":[0.001192716,0.00021199,0.0002294019,0.000297727,0.0003328774,0.0006220331,0.0004909365,0.0004596519,0.0002195837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003304991,"about_ca_system_score_gemma":0.0004812397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002575379,"about_ca_topic_score_gemma":0.002147603,"domain_scores_codex":[0.9996037,0.0001161916,0.00001251195,0.0000919337,0.0001254649,0.00005016036],"domain_scores_gemma":[0.9993487,0.0002660749,0.00009061969,0.0001150807,0.0001254412,0.00005401961],"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":[0.000478535,0.0002278307,0.003376589,0.000222506,0.00006543154,0.0002203634,0.0002243546,0.880718,0.04644101,0.003701465,0.0005002156,0.06382377],"study_design_scores_gemma":[0.00001441772,0.000339332,0.001466131,0.000006244496,0.00001222692,0.00003855749,0.00009448473,0.9850247,0.01166465,0.0006251802,0.0007038505,0.0000102857],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6713001,0.0002197265,0.3247778,0.00007952718,0.00003126023,0.00009127771,0.0001122762,0.0009806894,0.002407297],"genre_scores_gemma":[0.9367078,0.00006935905,0.06217968,0.000006051378,0.000003632591,0.00005375521,0.000106499,0.00007416054,0.0007989305],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002575379,"threshold_uncertainty_score":0.005120814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06841923027206204,"score_gpt":0.3728782159994038,"score_spread":0.3044589857273418,"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."}}