{"id":"W4391770166","doi":"10.1109/itsc57777.2023.10422509","title":"Polar Collision Grids: Effective Interaction Modelling for Pedestrian Trajectory Prediction in Shared Space Using Collision Checks","year":2023,"lang":"en","type":"article","venue":"","topic":"Traffic and Road Safety","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Collision; Trajectory; Collision avoidance; Pedestrian; Computer science; Polar; Space (punctuation); Simulation; Physics; Engineering; Computer security; Transport engineering","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":[0.0006424225,0.001471782,0.0009005544,0.001661392,0.0006593076,0.001049292,0.001997403,0.001017144,0.002102356],"category_scores_gemma":[0.002458233,0.0006333442,0.001119316,0.001394505,0.0005150872,0.001503346,0.002203818,0.001408949,0.001055618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008577724,"about_ca_system_score_gemma":0.001683911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02939738,"about_ca_topic_score_gemma":0.03405272,"domain_scores_codex":[0.9995042,0.0000974662,0.00002772877,0.0001610789,0.0001250787,0.0000843568],"domain_scores_gemma":[0.9991732,0.0002821283,0.0001140342,0.0001463252,0.0001972867,0.00008707889],"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":[0.0008605795,0.0002668119,0.03530134,0.0001918456,0.0002113325,0.0005326454,0.0003425193,0.7634121,0.00236607,0.005876691,0.01563622,0.1750018],"study_design_scores_gemma":[0.00001226626,0.00002656659,0.0008272752,0.00001273943,0.000009747576,0.00005259413,0.00004005323,0.9950137,0.0007041905,0.002169829,0.001122537,0.000008660261],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1715944,0.001557619,0.8077096,0.0004634626,0.0002400495,0.0002074155,0.005069294,0.009391655,0.003766529],"genre_scores_gemma":[0.8034536,0.0005805366,0.1829384,0.000151048,0.00006963815,0.0001809131,0.009658583,0.0003405059,0.002626803],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02939738,"threshold_uncertainty_score":0.05845249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02855308905871238,"score_gpt":0.2575523884357682,"score_spread":0.2289992993770558,"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."}}