{"id":"W4394862936","doi":"10.1109/tiv.2024.3389640","title":"An Online Spatial-Temporal Graph Trajectory Planner for Autonomous Vehicles","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Intelligent Vehicles","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Planner; Trajectory; Computer science; Graph; Artificial intelligence; Theoretical computer science; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002070659,0.0006680478,0.0003514579,0.0004072215,0.0003714155,0.0003534339,0.0008857078,0.0005098993,0.002892655],"category_scores_gemma":[0.0006813301,0.000274623,0.0003818989,0.0003824319,0.0004115406,0.0006584278,0.0007003766,0.0005851171,0.0003077915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006788012,"about_ca_system_score_gemma":0.001719289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01401795,"about_ca_topic_score_gemma":0.01442983,"domain_scores_codex":[0.9998542,0.00002524519,0.000006265916,0.00004203655,0.00005132397,0.00002085313],"domain_scores_gemma":[0.9998108,0.00008490924,0.00002339745,0.00001733622,0.00003965885,0.0000239154],"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":[0.00007645947,0.00002886583,0.0002796073,0.00005578976,0.00001235509,0.0001358323,0.0000532507,0.9323821,0.003868164,0.007914789,0.001400305,0.05379251],"study_design_scores_gemma":[0.000006313261,0.00001420906,0.00002868764,0.000001729554,0.000002157434,0.00001251749,0.000006912454,0.9972973,0.0005334145,0.001474445,0.0006199946,0.000002346604],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01023355,0.00006761916,0.9864706,0.00007508365,0.00002155021,0.00006186417,0.00009419486,0.0009686972,0.002006796],"genre_scores_gemma":[0.5763049,0.0001714918,0.4181538,0.00005656314,0.00001707028,0.0002444809,0.0004862751,0.0001690175,0.004396369],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01401795,"threshold_uncertainty_score":0.02787268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04757777007765936,"score_gpt":0.2944212223293077,"score_spread":0.2468434522516483,"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."}}