{"id":"W4406029095","doi":"10.1002/9781394155293.ch8","title":"Mapping Algorithms","year":2025,"lang":"en","type":"other","venue":"","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Simultaneous localization and mapping; Occupancy grid mapping; Computer science; MATLAB; Particle filter; Kalman filter; Extended Kalman filter; Graph; Computer vision; Grid; Artificial intelligence; Occupancy; Algorithm; Theoretical computer science; Geography; Mobile robot; Engineering; Robot","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":[0.001004581,0.001824198,0.001163956,0.002056349,0.00125936,0.004025469,0.002385865,0.001625165,0.06537603],"category_scores_gemma":[0.005029418,0.0006821147,0.001230311,0.00249964,0.0007359062,0.003267991,0.003046244,0.00175293,0.0507092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009481406,"about_ca_system_score_gemma":0.001454205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002748874,"about_ca_topic_score_gemma":0.002242836,"domain_scores_codex":[0.9984243,0.0002365063,0.0001269708,0.0004286086,0.0006572446,0.0001263776],"domain_scores_gemma":[0.9987307,0.0002698713,0.00006653462,0.000382581,0.0005062394,0.00004406965],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006448541,0.00005830378,0.0006747525,0.0004219424,0.00006564354,0.0001193949,0.000107518,0.05044274,0.002022179,0.1284485,0.1090279,0.7085466],"study_design_scores_gemma":[0.00003773459,0.00006412464,0.0006906894,0.0002944033,0.00003912078,0.0006483064,0.0001573232,0.1788484,0.003676193,0.1731453,0.6423323,0.00006610171],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.00130533,0.002748639,0.9027004,0.0006503891,0.001014398,0.0002503947,0.002055105,0.005783246,0.08349201],"genre_scores_gemma":[0.06567501,0.008193037,0.7672057,0.001067574,0.0008353211,0.001161687,0.01313388,0.002817389,0.1399105],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.06537603,"threshold_uncertainty_score":0.2187046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007542999989077454,"score_gpt":0.1968468458658989,"score_spread":0.1893038458768215,"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."}}