{"id":"W3120290220","doi":"10.1109/iv47402.2020.9304788","title":"Estimation of 2D Bounding Box Orientation with Convex-Hull Points - A Quantitative Evaluation on Accuracy and Efficiency","year":2020,"lang":"en","type":"article","venue":"","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Minimum bounding box; Convex hull; Orientation (vector space); Point cloud; Bounding overwatch; Ellipse; Computer science; Lidar; Point (geometry); Computer vision; Mathematics; Regular polygon; Algorithm; Artificial intelligence; Geometry; Image (mathematics); Optics","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":[],"consensus_categories":[],"category_scores_codex":[0.000152809,0.00008924993,0.0001096329,0.00006512883,0.00004313747,0.00003275557,0.00002770536,0.00003061525,0.0000330612],"category_scores_gemma":[0.0002567343,0.00007708863,0.00001163973,0.0002344257,0.00002633912,0.0001777758,0.000004362479,0.00004686879,0.000008482061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003663996,"about_ca_system_score_gemma":0.00002073299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001063779,"about_ca_topic_score_gemma":0.000003805872,"domain_scores_codex":[0.9993077,0.00003384414,0.0001832623,0.0001339331,0.0002592437,0.00008200519],"domain_scores_gemma":[0.999606,0.0001244345,0.00005943014,0.00006274965,0.0001027347,0.00004465923],"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":[0.00004366231,0.00001438642,0.000223941,0.00007515679,0.00001302604,4.242819e-7,0.001995448,0.9803413,0.002775058,0.01122894,0.00003891646,0.003249716],"study_design_scores_gemma":[0.0005871927,0.0003146201,0.001104702,0.00004580448,0.00003130971,6.49698e-7,0.0004770786,0.9843162,0.01283059,0.0001921524,0.000007807616,0.00009190908],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4950085,0.00001824711,0.5038378,0.0001227836,0.00003743678,0.0002172206,0.000001977693,0.00004777385,0.0007082702],"genre_scores_gemma":[0.9900196,0.000009325755,0.009819216,0.00007303442,0.000009453171,0.000006657619,0.00004624813,0.00001361577,0.000002807431],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4950111,"threshold_uncertainty_score":0.3143583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0317430967069801,"score_gpt":0.2859119076257129,"score_spread":0.2541688109187328,"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."}}