{"id":"W4385357296","doi":"10.1109/iv55152.2023.10186694","title":"Automatic Extrinsic Calibration of Thermal Camera and LiDAR for Vehicle Sensor Setups","year":2023,"lang":"en","type":"article","venue":"","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Western University","funders":"","keywords":"Calibration; Lidar; Remote sensing; Computer science; Computer vision; Environmental science; Geography; Physics","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":[0.0005547535,0.001135561,0.0008254817,0.001094533,0.0005069944,0.0007495311,0.001190541,0.0007586458,0.002652547],"category_scores_gemma":[0.002500218,0.0005968141,0.0006528178,0.0009450566,0.0004131028,0.001494292,0.001920966,0.001262872,0.001709489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003706805,"about_ca_system_score_gemma":0.0008849229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00130058,"about_ca_topic_score_gemma":0.002060403,"domain_scores_codex":[0.9988176,0.0001866857,0.00004437478,0.0003116113,0.0005111099,0.0001284389],"domain_scores_gemma":[0.9991733,0.00008150659,0.0001201507,0.0001901904,0.0003903532,0.0000444193],"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":[0.0003235785,0.0001227213,0.004924617,0.0002909774,0.00009837729,0.0003024244,0.0004060272,0.0625692,0.2219538,0.006019379,0.004361297,0.6986276],"study_design_scores_gemma":[0.00003748887,0.0002709367,0.006755678,0.00005114625,0.00004732799,0.001200546,0.0002869864,0.8271779,0.1483066,0.004225364,0.01154574,0.00009433702],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02436342,0.0001934159,0.972624,0.00004974622,0.00006163829,0.00004753046,0.00006070953,0.001301565,0.001297833],"genre_scores_gemma":[0.4353209,0.0002833502,0.5602647,0.0001113906,0.00006997399,0.0001307019,0.0005970841,0.0003363547,0.002885607],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002652547,"threshold_uncertainty_score":0.008873701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01361266532996717,"score_gpt":0.2164879983312339,"score_spread":0.2028753330012668,"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."}}