{"id":"https://openalex.org/W4394995497","doi":"https://doi.org/10.1109/ssrr59696.2023.10499939","title":"HabitatDyn Dataset: Salient Object Detection to Kinematics Estimation","display_name":"HabitatDyn Dataset: Salient Object Detection to Kinematics Estimation","publication_year":2023,"publication_date":"2023-11-13","ids":{"openalex":"https://openalex.org/W4394995497","doi":"https://doi.org/10.1109/ssrr59696.2023.10499939"},"language":"en","primary_location":{"id":"doi:10.1109/ssrr59696.2023.10499939","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ssrr59696.2023.10499939","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5033136997","display_name":"Zhengcheng Shen","orcid":null},"institutions":[{"id":"https://openalex.org/I4210148503","display_name":"Fraunhofer Institute for Production Systems and Design Technology","ror":"https://ror.org/045eg9c12","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210148503","https://openalex.org/I4923324"]},{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Zhengcheng Shen","raw_affiliation_strings":["Berlin Institute of Technology,Chair Industry Grade Networks and Clouds, Faculty of Electrical Engineering, and Computer Science,Berlin,Germany","Chair Industry Grade Networks and Clouds, Faculty of Electrical Engineering, and Computer Science, Berlin Institute of Technology, Berlin, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Berlin Institute of Technology,Chair Industry Grade Networks and Clouds, Faculty of Electrical Engineering, and Computer Science,Berlin,Germany","institution_ids":["https://openalex.org/I4210148503","https://openalex.org/I4577782"]},{"raw_affiliation_string":"Chair Industry Grade Networks and Clouds, Faculty of Electrical Engineering, and Computer Science, Berlin Institute of Technology, Berlin, Germany","institution_ids":["https://openalex.org/I4210148503","https://openalex.org/I4577782"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051732177","display_name":"Yi Qin Gao","orcid":"https://orcid.org/0000-0002-4309-9376"},"institutions":[{"id":"https://openalex.org/I4210148503","display_name":"Fraunhofer Institute for Production Systems and Design Technology","ror":"https://ror.org/045eg9c12","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210148503","https://openalex.org/I4923324"]},{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Yi Gao","raw_affiliation_strings":["Berlin Institute of Technology,Chair Industry Grade Networks and Clouds, Faculty of Electrical Engineering, and Computer Science,Berlin,Germany","Chair Industry Grade Networks and Clouds, Faculty of Electrical Engineering, and Computer Science, Berlin Institute of Technology, Berlin, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Berlin Institute of Technology,Chair Industry Grade Networks and Clouds, Faculty of Electrical Engineering, and Computer Science,Berlin,Germany","institution_ids":["https://openalex.org/I4210148503","https://openalex.org/I4577782"]},{"raw_affiliation_string":"Chair Industry Grade Networks and Clouds, Faculty of Electrical Engineering, and Computer Science, Berlin Institute of Technology, Berlin, Germany","institution_ids":["https://openalex.org/I4210148503","https://openalex.org/I4577782"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044968499","display_name":"Linh K\u00e4stner","orcid":"https://orcid.org/0000-0001-5263-4687"},"institutions":[{"id":"https://openalex.org/I4210148503","display_name":"Fraunhofer Institute for Production Systems and Design Technology","ror":"https://ror.org/045eg9c12","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210148503","https://openalex.org/I4923324"]},{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Linh K\u00e4stner","raw_affiliation_strings":["Berlin Institute of Technology,Chair Industry Grade Networks and Clouds, Faculty of Electrical Engineering, and Computer Science,Berlin,Germany","Chair Industry Grade Networks and Clouds, Faculty of Electrical Engineering, and Computer Science, Berlin Institute of Technology, Berlin, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Berlin Institute of Technology,Chair Industry Grade Networks and Clouds, Faculty of Electrical Engineering, and Computer Science,Berlin,Germany","institution_ids":["https://openalex.org/I4210148503","https://openalex.org/I4577782"]},{"raw_affiliation_string":"Chair Industry Grade Networks and Clouds, Faculty of Electrical Engineering, and Computer Science, Berlin Institute of Technology, Berlin, Germany","institution_ids":["https://openalex.org/I4210148503","https://openalex.org/I4577782"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002499102","display_name":"Jens Lambrecht","orcid":"https://orcid.org/0000-0002-1017-9548"},"institutions":[{"id":"https://openalex.org/I4210148503","display_name":"Fraunhofer Institute for Production Systems and Design Technology","ror":"https://ror.org/045eg9c12","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210148503","https://openalex.org/I4923324"]},{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jens Lambrecht","raw_affiliation_strings":["Berlin Institute of Technology,Chair Industry Grade Networks and Clouds, Faculty of Electrical Engineering, and Computer Science,Berlin,Germany","Chair Industry Grade Networks and Clouds, Faculty of Electrical Engineering, and Computer Science, Berlin Institute of Technology, Berlin, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Berlin Institute of Technology,Chair Industry Grade Networks and Clouds, Faculty of Electrical Engineering, and Computer Science,Berlin,Germany","institution_ids":["https://openalex.org/I4210148503","https://openalex.org/I4577782"]},{"raw_affiliation_string":"Chair Industry Grade Networks and Clouds, Faculty of Electrical Engineering, and Computer Science, Berlin Institute of Technology, Berlin, Germany","institution_ids":["https://openalex.org/I4210148503","https://openalex.org/I4577782"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1214,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.51044224,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9984999895095825,"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"}},"topics":[{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9984999895095825,"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"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9977999925613403,"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"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9970999956130981,"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/kinematics","display_name":"Kinematics","score":0.6793542504310608},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6585972309112549},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6565806269645691},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.644123911857605},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.635991096496582},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4938860535621643},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.46036162972450256},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.44225701689720154},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37922796607017517},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08650267124176025}],"concepts":[{"id":"https://openalex.org/C39920418","wikidata":"https://www.wikidata.org/wiki/Q11476","display_name":"Kinematics","level":2,"score":0.6793542504310608},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6585972309112549},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6565806269645691},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.644123911857605},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.635991096496582},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4938860535621643},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.46036162972450256},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.44225701689720154},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37922796607017517},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08650267124176025},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"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:10.1109/ssrr59696.2023.10499939","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ssrr59696.2023.10499939","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.7099999785423279}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W66443818","https://openalex.org/W2117228865","https://openalex.org/W2470139095","https://openalex.org/W2565639579","https://openalex.org/W2576557999","https://openalex.org/W2889986507","https://openalex.org/W2893097039","https://openalex.org/W3200618822","https://openalex.org/W4243216834","https://openalex.org/W4254182148","https://openalex.org/W4287684771","https://openalex.org/W6637131181","https://openalex.org/W6639824700","https://openalex.org/W6687483927","https://openalex.org/W6735463952","https://openalex.org/W6758661575","https://openalex.org/W6774815639","https://openalex.org/W6778471983","https://openalex.org/W6781801235","https://openalex.org/W6782657842","https://openalex.org/W6783264715","https://openalex.org/W6792155083","https://openalex.org/W6801456586"],"related_works":["https://openalex.org/W2329500892","https://openalex.org/W28991112","https://openalex.org/W2789522126","https://openalex.org/W2370726991","https://openalex.org/W2066693961","https://openalex.org/W2368363778","https://openalex.org/W122584421","https://openalex.org/W4244295168","https://openalex.org/W4292830139","https://openalex.org/W4319309705"],"abstract_inverted_index":{"The":[0,218],"advancement":[1],"of":[2,22,35,123,139,149,186,198],"computer":[3],"vision":[4],"and":[5,15,20,54,76,93,131,159,169,178,205,211],"machine":[6],"learning":[7],"has":[8],"made":[9],"datasets":[10,43],"crucial":[11],"for":[12,63,80,157],"further":[13,193],"research":[14,92],"applications.":[16,84],"However,":[17],"the":[18,33,59,69,100,121,147,164,167,181,184,196],"creation":[19],"development":[21],"indoor":[23],"mobile":[24,125,199],"robots":[25,207],"with":[26,127,142,213],"advanced":[27],"recognition":[28],"capabilities":[29],"are":[30,44,72,87,155],"hindered":[31],"by":[32],"lack":[34],"appropriate":[36],"datasets.":[37],"Existing":[38],"image":[39],"or":[40],"video":[41],"processing":[42],"unable":[45],"to":[46,74,82,162,191,202],"depict":[47],"observations":[48],"from":[49,120],"a":[50,124,128],"moving":[51,129,140],"robot":[52,126],"accurately,":[53],"they":[55,86],"do":[56],"not":[57],"contain":[58],"kinematics":[60],"information":[61],"necessary":[62],"robotic":[64],"tasks.":[65],"Synthetic":[66],"data,":[67],"on":[68,174],"other":[70],"hand,":[71],"cost-effective":[73],"create":[75],"offer":[77],"greater":[78],"flexibility":[79],"adapting":[81],"various":[83],"Hence,":[85],"widely":[88],"utilized":[89],"in":[90,195],"both":[91],"industry.":[94],"In":[95],"this":[96,187],"paper,":[97],"we":[98,189],"propose":[99],"dataset":[101],"HabitatDyn,":[102],"which":[103],"contains":[104,132],"synthetic":[105],"RGB":[106],"videos,":[107],"semantic":[108],"labels,":[109],"depth":[110],"information,":[111],"as":[112,114],"well":[113],"kinetics":[115],"information.":[116],"HabitatDyn":[117],"was":[118],"created":[119],"perspective":[122],"camera":[130,170],"30":[133],"scenes":[134],"featuring":[135],"six":[136],"different":[137],"types":[138],"objects":[141],"varying":[143],"velocities.":[144],"To":[145],"demonstrate":[146],"usability":[148],"our":[150],"dataset,":[151,188],"two":[152],"existing":[153],"algorithms":[154],"used":[156],"evaluation":[158],"an":[160],"approach":[161],"estimate":[163],"distance":[165],"between":[166],"object":[168],"is":[171,220],"implemented":[172],"based":[173],"these":[175],"segmentation":[176],"methods":[177],"evaluated":[179],"through":[180],"dataset.":[182],"With":[183],"availability":[185],"aspire":[190],"foster":[192],"advancements":[194],"field":[197],"robotics,":[200],"leading":[201],"more":[203,216],"capable":[204],"intelligent":[206],"that":[208],"can":[209],"navigate":[210],"interact":[212],"their":[214],"environments":[215],"effectively.":[217],"code":[219],"publicly":[221],"available":[222],"at":[223],"https://github.com/ignc-research/HabitatDyn.":[224]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}