{"id":"W6979919345","doi":"","title":"An Analysis and Benchmarking in Autoware.AI and OpenPCDet LiDAR-based 3D Object Detection Models","year":2022,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Blackberry (Canada)","funders":"","keywords":"Object detection; Benchmarking; Artificial neural network; Bounding overwatch; Minimum bounding box; Point (geometry); Object (grammar)","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":[0.004712056,0.001994015,0.0008769525,0.002754586,0.0007139426,0.002037861,0.003298711,0.001778083,0.004040568],"category_scores_gemma":[0.01207408,0.0005363162,0.001518983,0.002796765,0.0006751518,0.002744962,0.001324967,0.00172123,0.002643439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00302956,"about_ca_system_score_gemma":0.001701007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05022864,"about_ca_topic_score_gemma":0.06646034,"domain_scores_codex":[0.9957086,0.0008710158,0.0003023754,0.001258903,0.001481573,0.0003775527],"domain_scores_gemma":[0.989467,0.004163493,0.00033813,0.002311315,0.003435523,0.0002844784],"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":[0.0009851551,0.001439551,0.0231312,0.001139716,0.0005175683,0.0003100595,0.0002723715,0.4704204,0.005033209,0.007450997,0.1226001,0.3666996],"study_design_scores_gemma":[0.00007052794,0.000312285,0.0129639,0.0000725803,0.0000513968,0.0001302647,0.0001699024,0.9593036,0.007407103,0.002207076,0.01726172,0.00004969582],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7637661,0.004867761,0.07961862,0.001737666,0.001308996,0.0006064842,0.04825459,0.04916696,0.05067285],"genre_scores_gemma":[0.7115314,0.001175265,0.10329,0.0006157911,0.0001314663,0.0005748552,0.165869,0.00240449,0.01440775],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05022864,"threshold_uncertainty_score":0.09987253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009626517038045262,"score_gpt":0.2280925843269838,"score_spread":0.2184660672889386,"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."}}