{"id":"W4385696128","doi":"10.1109/lra.2023.3303696","title":"Multi-Modal Streaming 3D Object Detection","year":2023,"lang":"en","type":"article","venue":"IEEE Robotics and Automation Letters","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Lidar; Computer science; Artificial intelligence; Computer vision; Context (archaeology); Object detection; Perception; Field of view; Pattern recognition (psychology); Remote sensing; Geography","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":[0.0003764308,0.0008279269,0.0008124335,0.0009711777,0.0003023648,0.0009959238,0.00125809,0.0007608599,0.004244792],"category_scores_gemma":[0.001130705,0.0005119364,0.0006429694,0.001019681,0.0003929609,0.001436972,0.001550226,0.0008134317,0.001287713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004762334,"about_ca_system_score_gemma":0.0005454877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003365568,"about_ca_topic_score_gemma":0.004545708,"domain_scores_codex":[0.9995307,0.00003470342,0.00001721741,0.000136491,0.0002419709,0.0000389785],"domain_scores_gemma":[0.9996029,0.00008476077,0.00002894859,0.0001023966,0.0001426881,0.00003841622],"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":[0.0005707071,0.0001816753,0.001585481,0.0003370674,0.0001164793,0.0002928322,0.000212263,0.06733668,0.1389961,0.005352387,0.01373302,0.7712854],"study_design_scores_gemma":[0.00001416147,0.00005968571,0.001592314,0.00001810823,0.00002139295,0.0002883903,0.00005137366,0.9617949,0.02311121,0.005389595,0.007629654,0.00002918898],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02585855,0.0005800683,0.966137,0.0002155176,0.0001346246,0.0001152723,0.0007797664,0.00349066,0.002688559],"genre_scores_gemma":[0.3636981,0.0009372717,0.6246683,0.0003218792,0.0002319377,0.0001969848,0.003412455,0.0004323098,0.006100692],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004244792,"threshold_uncertainty_score":0.01420027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01971774811059929,"score_gpt":0.2605686190998469,"score_spread":0.2408508709892476,"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."}}