{"id":"W3003342783","doi":"10.4271/2020-01-0136","title":"LiDAR and Camera-Based Convolutional Neural Network Detection for Autonomous Driving","year":2020,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor; National Research Council Canada","funders":"","keywords":"Convolutional neural network; Computer science; Lidar; Artificial intelligence; Computer vision; Remote sensing; Geology","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":[0.0003250377,0.0006210355,0.0006689762,0.00009372372,0.0008599436,0.000194715,0.001315826,0.0004482781,0.00003281366],"category_scores_gemma":[0.000495145,0.0005979384,0.000325309,0.001077296,0.0007197107,0.0007074703,0.0005861218,0.0009557901,0.00002839559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002106549,"about_ca_system_score_gemma":0.0001178799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006965212,"about_ca_topic_score_gemma":0.006917442,"domain_scores_codex":[0.995917,0.0001255677,0.0008364548,0.001584564,0.000557618,0.0009787488],"domain_scores_gemma":[0.9969001,0.0010918,0.0002879641,0.001016597,0.0001336378,0.0005698445],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001783276,0.0001134727,0.0001688335,0.00003396854,0.00002284996,0.00001306031,0.00001752638,0.003546558,0.927331,0.04201911,0.001565549,0.0249897],"study_design_scores_gemma":[0.001146863,0.002087038,0.9034971,0.00008408682,0.00006071126,0.00008950139,0.00001425125,0.0005354967,0.0003538862,0.009124585,0.08199555,0.001010951],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6057831,0.003621213,0.07452604,0.2475159,0.002539953,0.0164474,0.0002963543,0.03706815,0.01220187],"genre_scores_gemma":[0.9282902,0.00005126723,0.06211351,0.008175676,0.0004352824,0.000788808,0.00002549703,0.00007652685,0.00004322065],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9269772,"threshold_uncertainty_score":0.9996472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01576240465777357,"score_gpt":0.2478786130705275,"score_spread":0.2321162084127539,"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."}}