{"id":"W4403081400","doi":"10.1007/978-3-031-72658-3_6","title":"MapTracker: Tracking with Strided Memory Fusion for Consistent Vector HD Mapping","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Fusion; Tracking (education); Artificial intelligence; Pattern recognition (psychology)","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":[0.0005174488,0.0006603449,0.0008656911,0.0005537679,0.0003777404,0.0009989338,0.001869154,0.0009903385,0.007678243],"category_scores_gemma":[0.001068039,0.0004881518,0.0004033631,0.0009551911,0.0003907295,0.001768032,0.002081146,0.0009621703,0.002923856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000308324,"about_ca_system_score_gemma":0.0005900431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002919665,"about_ca_topic_score_gemma":0.003474542,"domain_scores_codex":[0.9996896,0.00003378938,0.00001742431,0.00008667703,0.0001373209,0.00003529653],"domain_scores_gemma":[0.9997345,0.00006844017,0.00001852767,0.0001003375,0.00006456444,0.00001369288],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003574981,0.00006738465,0.0002919167,0.0001518107,0.00008729882,0.00009985787,0.0001206582,0.0361404,0.03286497,0.009985788,0.02010417,0.8997282],"study_design_scores_gemma":[0.00007463029,0.0001395141,0.000582517,0.00003794652,0.00004386887,0.0002640094,0.00005471708,0.9065421,0.05202674,0.01419519,0.02598309,0.00005578638],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002649143,0.0002143362,0.9909244,0.00003896082,0.00008078345,0.000024618,0.0001674697,0.004836754,0.001063532],"genre_scores_gemma":[0.1100874,0.0003245893,0.8779281,0.0001487632,0.00007409721,0.0001400517,0.0009095613,0.0007052731,0.009682162],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007678243,"threshold_uncertainty_score":0.02568626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01994960876209137,"score_gpt":0.2148322619350418,"score_spread":0.1948826531729505,"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."}}