{"id":"https://openalex.org/W2968275962","doi":"https://doi.org/10.5220/0007768601670173","title":"Collision Detection for a Mobile Robot using Logistic Regression","display_name":"Collision Detection for a Mobile Robot using Logistic Regression","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2968275962","doi":"https://doi.org/10.5220/0007768601670173","mag":"2968275962"},"language":"en","primary_location":{"id":"doi:10.5220/0007768601670173","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0007768601670173","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.5220/0007768601670173","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5024945547","display_name":"Felix Becker","orcid":"https://orcid.org/0000-0002-2245-0040"},"institutions":[{"id":"https://openalex.org/I36522303","display_name":"Universit\u00e4t Greifswald","ror":"https://ror.org/00r1edq15","country_code":"DE","type":"education","lineage":["https://openalex.org/I36522303"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Felix Becker","raw_affiliation_strings":["Ernst Moritz Arndt Universit\u00e4t Greifswald, Institut f\u00fcr Mathematik und Informatik, Walther-Rathenau-Str. 47, 17487 Greifswald and Germany, --- Select a Country ---"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ernst Moritz Arndt Universit\u00e4t Greifswald, Institut f\u00fcr Mathematik und Informatik, Walther-Rathenau-Str. 47, 17487 Greifswald and Germany, --- Select a Country ---","institution_ids":["https://openalex.org/I36522303"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023822326","display_name":"Marc Ebner","orcid":"https://orcid.org/0000-0003-2725-2454"},"institutions":[{"id":"https://openalex.org/I36522303","display_name":"Universit\u00e4t Greifswald","ror":"https://ror.org/00r1edq15","country_code":"DE","type":"education","lineage":["https://openalex.org/I36522303"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Marc Ebner","raw_affiliation_strings":["Ernst Moritz Arndt Universit\u00e4t Greifswald, Institut f\u00fcr Mathematik und Informatik, Walther-Rathenau-Str. 47, 17487 Greifswald and Germany, --- Select a Country ---"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ernst Moritz Arndt Universit\u00e4t Greifswald, Institut f\u00fcr Mathematik und Informatik, Walther-Rathenau-Str. 47, 17487 Greifswald and Germany, --- Select a Country ---","institution_ids":["https://openalex.org/I36522303"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I36522303"],"apc_list":null,"apc_paid":null,"fwci":0.1093,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.39011001,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"167","last_page":"173"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9937000274658203,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9911999702453613,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.7790218591690063},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.731300950050354},{"id":"https://openalex.org/keywords/false-positive-paradox","display_name":"False positive paradox","score":0.687487006187439},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.6837113499641418},{"id":"https://openalex.org/keywords/accelerometer","display_name":"Accelerometer","score":0.6824923157691956},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6583943367004395},{"id":"https://openalex.org/keywords/collision","display_name":"Collision","score":0.5664492845535278},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.529696524143219},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4838658571243286},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.42988133430480957},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.4284512996673584},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4229375123977661},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.3581458628177643},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2117069661617279},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.08708930015563965}],"concepts":[{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.7790218591690063},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.731300950050354},{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.687487006187439},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.6837113499641418},{"id":"https://openalex.org/C89805583","wikidata":"https://www.wikidata.org/wiki/Q192940","display_name":"Accelerometer","level":2,"score":0.6824923157691956},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6583943367004395},{"id":"https://openalex.org/C121704057","wikidata":"https://www.wikidata.org/wiki/Q352070","display_name":"Collision","level":2,"score":0.5664492845535278},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.529696524143219},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4838658571243286},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.42988133430480957},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.4284512996673584},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4229375123977661},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3581458628177643},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2117069661617279},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.08708930015563965},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5220/0007768601670173","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0007768601670173","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.5220/0007768601670173","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0007768601670173","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W153770551","https://openalex.org/W783512942","https://openalex.org/W1522744114","https://openalex.org/W1555601014","https://openalex.org/W1973948212","https://openalex.org/W1995302527","https://openalex.org/W2028840816","https://openalex.org/W2029691244","https://openalex.org/W2065206922","https://openalex.org/W2081295244","https://openalex.org/W2108889070","https://openalex.org/W2140645486","https://openalex.org/W2141530094","https://openalex.org/W2165311980","https://openalex.org/W2183036409","https://openalex.org/W2297172695","https://openalex.org/W2397470807","https://openalex.org/W2485992890","https://openalex.org/W2612186520","https://openalex.org/W2926717137"],"related_works":["https://openalex.org/W2765080098","https://openalex.org/W2385749422","https://openalex.org/W2355290145","https://openalex.org/W2353465659","https://openalex.org/W3023105672","https://openalex.org/W2009888974","https://openalex.org/W2355539379","https://openalex.org/W4231410700","https://openalex.org/W4237770763","https://openalex.org/W2347752811"],"abstract_inverted_index":{"Collisions":[0,58],"cannot":[1],"be":[2,35,82],"entirely":[3],"avoided":[4],"during":[5,49],"normal":[6,50],"operation":[7],"of":[8,53,76,107],"an":[9,46],"autonomous":[10],"mobile":[11,14,56],"robot.":[12,57],"Therefore,":[13],"robots":[15],"need":[16],"to":[17,72,81,103],"detect":[18,104],"collisions":[19,109],"and":[20,90],"react":[21],"appropriately":[22],"when":[23],"they":[24],"happen.":[25],"We":[26,40],"investigate":[27],"whether":[28],"logistic":[29,95],"regression":[30,96],"on":[31,110],"acceleration":[32,47],"data":[33,44,89],"can":[34],"used":[36],"for":[37],"collision":[38],"detection.":[39],"have":[41],"collected":[42],"training":[43],"from":[45],"sensor":[48],"driving":[51],"behavior":[52],"a":[54,63,69,111],"small":[55],"were":[59],"manually":[60],"marked":[61],"by":[62],"human":[64],"operator.":[65],"Accelerations":[66],"occurring":[67],"in":[68,93],"direction":[70,75],"opposite":[71],"the":[73,94],"current":[74],"motion":[77],"are":[78],"more":[79],"likely":[80],"actual":[83],"collisions.":[84],"Hence,":[85],"we":[86],"combine":[87],"accelerometer":[88],"motor":[91],"commands":[92],"model.":[97],"The":[98],"trained":[99],"model":[100],"was":[101],"able":[102],"13":[105],"out":[106],"14":[108],"separate":[112],"test":[113],"set":[114],"with":[115],"no":[116],"false":[117],"positives.":[118]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
