{"id":"W2057773025","doi":"10.1109/syscon.2014.6819283","title":"Merging of octree based 3D occupancy grid maps","year":2014,"lang":"en","type":"article","venue":"","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Octree; Computer science; Occupancy grid mapping; Grid; Representation (politics); Robot; Space partitioning; Data structure; Tree (set theory); Artificial intelligence; Computer graphics (images); Computer vision; Theoretical computer science; Mobile robot; Algorithm; Mathematics","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":[0.00007112037,0.00007548383,0.0001072215,0.00006428131,0.0000168992,0.000008118927,0.00005737138,0.00003799198,0.0001214405],"category_scores_gemma":[0.00002247701,0.00007020993,0.00003273634,0.0001058271,0.00000990934,0.00003158993,0.000005130684,0.00003852298,0.00002337319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001162011,"about_ca_system_score_gemma":0.000005131003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001894286,"about_ca_topic_score_gemma":0.000009620027,"domain_scores_codex":[0.9995497,0.00001205754,0.0001506295,0.00007430592,0.00009528069,0.0001179923],"domain_scores_gemma":[0.9997137,0.00004200551,0.00001597524,0.0001638321,0.00002875159,0.00003573191],"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":[0.000002516891,0.00001035514,0.001814614,0.00006753232,0.000009043098,5.081257e-7,0.0000165956,0.9819415,0.005334309,0.005544829,0.002521357,0.002736849],"study_design_scores_gemma":[0.0002093267,0.00001651585,0.0007210207,0.00001752068,0.000007891433,2.337555e-7,0.000005573363,0.9685635,0.02469825,0.00007871351,0.005586429,0.00009504527],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02027634,0.00003911775,0.9325795,0.00005482976,0.0003739195,0.00006038301,0.000004670585,0.0002191754,0.04639208],"genre_scores_gemma":[0.9880537,0.000005164028,0.01167718,0.00006755108,0.00007224205,0.000001364785,0.00002290033,0.00001862606,0.00008129649],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9677773,"threshold_uncertainty_score":0.2863078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005904205816605139,"score_gpt":0.1825915696566269,"score_spread":0.1766873638400217,"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."}}