{"id":"W4408696316","doi":"10.1109/itsc58415.2024.10920068","title":"Intelligent Mobility System with Integrated Motion Planning and Control Utilizing Infrastructure Sensor Nodes","year":2024,"lang":"en","type":"article","venue":"","topic":"Robotics and Automated Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Computer science; Wireless sensor network; Motion planning; Control (management); Motion (physics); Computer network; Real-time computing; Artificial intelligence; Robot","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001285303,0.0005349044,0.0003169408,0.0002275136,0.0003504489,0.0003228416,0.0008322475,0.0003020015,0.001047191],"category_scores_gemma":[0.0001898595,0.0001655424,0.0003201139,0.0001868121,0.0002259968,0.0004966524,0.0008060079,0.0003684523,0.0003258233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002788624,"about_ca_system_score_gemma":0.000735577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003566859,"about_ca_topic_score_gemma":0.003347999,"domain_scores_codex":[0.9998983,0.00001039541,0.000006059147,0.00003339231,0.00002741788,0.00002444789],"domain_scores_gemma":[0.9999316,0.000007853759,0.00001506121,0.00001169673,0.00002029215,0.00001357953],"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":[0.0002698848,0.000150408,0.003360224,0.0002273798,0.0000945529,0.0006166837,0.0002556431,0.598347,0.08196294,0.02222891,0.004792199,0.2876942],"study_design_scores_gemma":[0.00003560552,0.0002292181,0.0008614014,0.00001257869,0.00003324682,0.0001158522,0.00004620519,0.9796037,0.0083931,0.002564416,0.008085418,0.00001923454],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04087703,0.0003029911,0.9490352,0.0001526508,0.0001056611,0.00009678989,0.000088935,0.002075135,0.007265769],"genre_scores_gemma":[0.9121611,0.0001998836,0.08308578,0.00005546466,0.00003257868,0.0001876802,0.000186001,0.00002490406,0.004066641],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003566859,"threshold_uncertainty_score":0.007092178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008782892957495353,"score_gpt":0.2115603950759651,"score_spread":0.2027775021184697,"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."}}