{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001667821,0.0001935863,0.0003515977,0.0008010829,0.0003391581,0.00006554967,0.0005195606,0.0001286582,0.0000284843],"category_scores_gemma":[0.000002913099,0.0002513513,0.00007346754,0.001230745,0.00004801358,0.0008497418,0.0001525306,0.0002960299,5.511469e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001104579,"about_ca_system_score_gemma":0.00006070453,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01732799,"about_ca_topic_score_gemma":0.1317036,"domain_scores_codex":[0.9986344,0.000115933,0.0001277257,0.0006800409,0.0002338492,0.000208054],"domain_scores_gemma":[0.999118,0.00005168119,0.0002166688,0.0004527943,0.00007070192,0.00009011976],"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":[0.0004626144,0.0004015626,0.008360833,0.0003994188,0.0005169038,0.0001452753,0.1887804,0.4745736,0.01410995,0.002173915,0.00003817961,0.3100375],"study_design_scores_gemma":[0.0003760693,0.0001602115,0.02285856,0.00002803032,0.0001844159,0.000001652189,0.00729276,0.96737,0.0006859865,0.0006891647,0.00003946892,0.0003136383],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9076595,0.00009278113,0.09154384,0.0001999526,0.00006142273,0.0003014519,0.00001645041,0.00007611186,0.00004853732],"genre_scores_gemma":[0.9748994,0.00008489883,0.02228153,0.00003675175,0.00001049184,0.000004193027,0.0002549878,0.00001361441,0.002414173],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4927965,"threshold_uncertainty_score":0.9999939,"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."}}