{"id":"W2771583656","doi":"10.1109/iccvw.2017.33","title":"Are They Going to Cross? A Benchmark Dataset and Baseline for Pedestrian Crosswalk Behavior","year":2017,"lang":"en","type":"article","venue":"","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":403,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Schema crosswalk; Pedestrian; Baseline (sea); Computer science; Benchmark (surveying); Minimum bounding box; Bounding overwatch; Point (geometry); Artificial intelligence; Machine learning; Pedestrian detection; Pedestrian crossing; Information retrieval; Human–computer interaction; Transport engineering; Image (mathematics); 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":[0.0007467015,0.002464873,0.001034464,0.00259537,0.001027895,0.001120125,0.001919713,0.00248362,0.004430979],"category_scores_gemma":[0.002692038,0.000338416,0.001280486,0.002065977,0.0005260211,0.001194727,0.001257227,0.001625078,0.006920955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001295237,"about_ca_system_score_gemma":0.001256111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03061591,"about_ca_topic_score_gemma":0.07432437,"domain_scores_codex":[0.9988692,0.0001768298,0.00009579462,0.0004304044,0.0002439173,0.0001839461],"domain_scores_gemma":[0.9984047,0.0002437418,0.0001609645,0.0003917884,0.000517175,0.00028172],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00189019,0.003671604,0.1295279,0.001919344,0.000666412,0.0009618253,0.0005030934,0.01554351,0.007408381,0.002000543,0.7098289,0.1260784],"study_design_scores_gemma":[0.0005926335,0.001827344,0.4427592,0.0008847927,0.0004567016,0.003149003,0.004186634,0.1765734,0.01748657,0.005276214,0.3464495,0.0003579947],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.291234,0.001635498,0.00681574,0.001011615,0.0006523092,0.0007197426,0.6759912,0.006646911,0.01529294],"genre_scores_gemma":[0.1018887,0.0002402625,0.009126845,0.0002029732,0.00005640023,0.0002960385,0.8850312,0.0001254954,0.003032077],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03061591,"threshold_uncertainty_score":0.06087542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02574090554235806,"score_gpt":0.308778951740207,"score_spread":0.2830380461978489,"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."}}