{"id":"W7126571701","doi":"","title":"Robust Lidar SLAM Under Adverse Weather","year":2023,"lang":"en","type":"other","venue":"The Sydney eScholarship Repository (The University of Sydney)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lidar; Adverse weather; Point cloud; Simultaneous localization and mapping; Odometry; Point (geometry); Snow; Noise (video)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009007697,0.0007563543,0.0007579922,0.0004060208,0.0003528252,0.0005969828,0.001038265,0.0007158451,0.0003610499],"category_scores_gemma":[0.002500451,0.0003327714,0.0004851602,0.0005466843,0.0004739471,0.0009993755,0.001075424,0.0007841816,0.0001863911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003094303,"about_ca_system_score_gemma":0.0009367625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007722414,"about_ca_topic_score_gemma":0.006532088,"domain_scores_codex":[0.9993291,0.00008222859,0.00003342592,0.0001939325,0.0002121618,0.0001491871],"domain_scores_gemma":[0.9993957,0.0001478911,0.0001015143,0.000137907,0.0001740236,0.00004294241],"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":[0.0002269299,0.00006137069,0.004804589,0.00009600225,0.00005414617,0.0002382964,0.0001129786,0.8648056,0.03171374,0.0008637438,0.0009566806,0.0960658],"study_design_scores_gemma":[0.000006923909,0.00002491313,0.001510495,0.000002833294,0.000004437839,0.00002760316,0.00002544776,0.9944322,0.003245293,0.0005198828,0.0001927045,0.000007183924],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4269453,0.0003860452,0.5693934,0.0001759131,0.0001116788,0.00005318978,0.0002600596,0.001335965,0.001338577],"genre_scores_gemma":[0.949225,0.0001073133,0.04977537,0.00005191812,0.00002982673,0.00002647562,0.0003475751,0.00004622792,0.0003901978],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007722414,"threshold_uncertainty_score":0.01535493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02574788431972483,"score_gpt":0.2105446518342439,"score_spread":0.1847967675145191,"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."}}