{"id":"https://openalex.org/W2789610156","doi":"https://doi.org/10.1145/3175603.3175621","title":"Autonomous Pathfinding in Simulated 3D Environment","display_name":"Autonomous Pathfinding in Simulated 3D Environment","publication_year":2017,"publication_date":"2017-12-29","ids":{"openalex":"https://openalex.org/W2789610156","doi":"https://doi.org/10.1145/3175603.3175621","mag":"2789610156"},"language":"en","primary_location":{"id":"doi:10.1145/3175603.3175621","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3175603.3175621","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 International Conference on Robotics and Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","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/A5057639182","display_name":"Sidharth Raja","orcid":null},"institutions":[{"id":"https://openalex.org/I863896202","display_name":"Delhi Technological University","ror":"https://ror.org/01ztcvt22","country_code":"IN","type":"education","lineage":["https://openalex.org/I863896202"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Sidharth Raja","raw_affiliation_strings":["Delhi Technological University, New Delhi, India"],"affiliations":[{"raw_affiliation_string":"Delhi Technological University, New Delhi, India","institution_ids":["https://openalex.org/I863896202"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111048138","display_name":"Tanuj Bhatia","orcid":null},"institutions":[{"id":"https://openalex.org/I863896202","display_name":"Delhi Technological University","ror":"https://ror.org/01ztcvt22","country_code":"IN","type":"education","lineage":["https://openalex.org/I863896202"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Tanuj Bhatia","raw_affiliation_strings":["Delhi Technological University, New Delhi, India"],"affiliations":[{"raw_affiliation_string":"Delhi Technological University, New Delhi, India","institution_ids":["https://openalex.org/I863896202"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110546348","display_name":"Akshat Mishra","orcid":null},"institutions":[{"id":"https://openalex.org/I863896202","display_name":"Delhi Technological University","ror":"https://ror.org/01ztcvt22","country_code":"IN","type":"education","lineage":["https://openalex.org/I863896202"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Akshat Mishra","raw_affiliation_strings":["Delhi Technological University, New Delhi, India"],"affiliations":[{"raw_affiliation_string":"Delhi Technological University, New Delhi, India","institution_ids":["https://openalex.org/I863896202"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073090415","display_name":"Sanket Kashyap","orcid":null},"institutions":[{"id":"https://openalex.org/I863896202","display_name":"Delhi Technological University","ror":"https://ror.org/01ztcvt22","country_code":"IN","type":"education","lineage":["https://openalex.org/I863896202"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sanket Kashyap","raw_affiliation_strings":["Delhi Technological University, New Delhi, India"],"affiliations":[{"raw_affiliation_string":"Delhi Technological University, New Delhi, India","institution_ids":["https://openalex.org/I863896202"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084726116","display_name":"Om Prakash Verma","orcid":"https://orcid.org/0000-0002-0860-9166"},"institutions":[{"id":"https://openalex.org/I863896202","display_name":"Delhi Technological University","ror":"https://ror.org/01ztcvt22","country_code":"IN","type":"education","lineage":["https://openalex.org/I863896202"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Om Prakash Verma","raw_affiliation_strings":["Delhi Technological University, New Delhi, India"],"affiliations":[{"raw_affiliation_string":"Delhi Technological University, New Delhi, India","institution_ids":["https://openalex.org/I863896202"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5057639182"],"corresponding_institution_ids":["https://openalex.org/I863896202"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.21638253,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":null,"issue":null,"first_page":"56","last_page":"60"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9998999834060669,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9998999834060669,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"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":0.9986000061035156,"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/computer-vision","display_name":"Computer vision","score":0.7789831161499023},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7612602710723877},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.735876739025116},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.6390603184700012},{"id":"https://openalex.org/keywords/planner","display_name":"Planner","score":0.5797638297080994},{"id":"https://openalex.org/keywords/motion-planning","display_name":"Motion planning","score":0.5763691663742065},{"id":"https://openalex.org/keywords/stereoscopy","display_name":"Stereoscopy","score":0.5659646391868591},{"id":"https://openalex.org/keywords/obstacle-avoidance","display_name":"Obstacle avoidance","score":0.5611530542373657},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.555902361869812},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.553863525390625},{"id":"https://openalex.org/keywords/pathfinding","display_name":"Pathfinding","score":0.49168115854263306},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4700305163860321},{"id":"https://openalex.org/keywords/obstacle","display_name":"Obstacle","score":0.4398869276046753},{"id":"https://openalex.org/keywords/depth-map","display_name":"Depth map","score":0.42836183309555054},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.28595656156539917},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2611711621284485},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.19876685738563538},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1242816150188446},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09957829117774963}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7789831161499023},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7612602710723877},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.735876739025116},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.6390603184700012},{"id":"https://openalex.org/C2776999362","wikidata":"https://www.wikidata.org/wiki/Q2349274","display_name":"Planner","level":2,"score":0.5797638297080994},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.5763691663742065},{"id":"https://openalex.org/C126057942","wikidata":"https://www.wikidata.org/wiki/Q35158","display_name":"Stereoscopy","level":2,"score":0.5659646391868591},{"id":"https://openalex.org/C6683253","wikidata":"https://www.wikidata.org/wiki/Q7075535","display_name":"Obstacle avoidance","level":4,"score":0.5611530542373657},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.555902361869812},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.553863525390625},{"id":"https://openalex.org/C25321074","wikidata":"https://www.wikidata.org/wiki/Q1969601","display_name":"Pathfinding","level":4,"score":0.49168115854263306},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4700305163860321},{"id":"https://openalex.org/C2776650193","wikidata":"https://www.wikidata.org/wiki/Q264661","display_name":"Obstacle","level":2,"score":0.4398869276046753},{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.42836183309555054},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.28595656156539917},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2611711621284485},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.19876685738563538},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1242816150188446},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09957829117774963},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.0},{"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/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.0},{"id":"https://openalex.org/C22590252","wikidata":"https://www.wikidata.org/wiki/Q1058754","display_name":"Shortest path problem","level":3,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3175603.3175621","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3175603.3175621","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 International Conference on Robotics and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W165287356","https://openalex.org/W1522301498","https://openalex.org/W1713526874","https://openalex.org/W1772650917","https://openalex.org/W2071634722","https://openalex.org/W2108004794","https://openalex.org/W2117248802","https://openalex.org/W2125416623","https://openalex.org/W2190691619","https://openalex.org/W2255920238","https://openalex.org/W2492904644","https://openalex.org/W2737078764","https://openalex.org/W2738340787","https://openalex.org/W3100388886","https://openalex.org/W3158111986","https://openalex.org/W6631190155","https://openalex.org/W6687484953"],"related_works":["https://openalex.org/W4285687848","https://openalex.org/W4289994039","https://openalex.org/W2240526870","https://openalex.org/W3100156731","https://openalex.org/W2623016776","https://openalex.org/W4402264311","https://openalex.org/W4255706547","https://openalex.org/W1506816029","https://openalex.org/W1978397348","https://openalex.org/W171103548"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2,19],"an":[3,7],"approach":[4,154],"for":[5,22,34,50,91,136,144],"navigating":[6],"autonomous":[8,35],"agent":[9],"in":[10],"a":[11,20,30,42,53,98,116,132,140,156],"simulated":[12],"room":[13],"environment":[14],"with":[15,46,73,115],"multiple":[16],"obstacles.":[17],"It":[18,39],"technique":[21,33],"depth":[23,48,72,105],"map":[24,49],"estimation":[25,112],"using":[26],"stereoscopic":[27],"images":[28],"-":[29],"vital":[31],"intermediate":[32],"navigation":[36],"and":[37,85,139],"pathfinding.":[38],"also":[40],"proposes":[41],"path":[43,129,134,142],"planner":[44,130,135,143],"interfaced":[45],"the":[47,58,146,162,168],"locally":[51],"planning":[52],"sequence":[54],"of":[55,158,164],"steps":[56,163],"to":[57,70],"desired":[59],"location.":[60],"A":[61],"single":[62],"RGB":[63,83],"camera":[64],"does":[65],"not":[66,88],"contain":[67],"sufficient":[68],"information":[69],"estimate":[71],"satisfactory":[74],"accuracy.":[75],"Depth":[76,111],"cameras":[77],"are":[78],"significantly":[79],"more":[80],"expensive":[81],"than":[82],"cameras,":[84],"hence":[86],"would":[87],"be":[89],"suited":[90],"projects":[92],"requiring":[93],"lower":[94],"budget":[95],"constraints.":[96],"Hence":[97],"middle":[99],"ground":[100],"is":[101,113],"required":[102],"which":[103],"requires":[104],"calculation":[106],"from":[107],"limited":[108],"available":[109],"input.":[110],"accomplished":[114],"convolutional":[117],"neural":[118],"network":[119],"trained":[120],"on":[121,167],"synthetic":[122],"randomly":[123],"generated":[124],"stereo":[125],"image":[126],"data.":[127],"The":[128,149],"comprises":[131],"short-term":[133],"obstacle":[137],"avoidance,":[138],"long-term":[141],"approaching":[145],"destination":[147],"co-ordinates.":[148],"results":[150],"show":[151],"that":[152],"this":[153],"yields":[155],"factor":[157],"approximately":[159],"1.8":[160],"times":[161],"human":[165],"performance":[166],"same":[169],"task.":[170]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
