{"id":"https://openalex.org/W7137181024","doi":"https://doi.org/10.1109/itsc60802.2025.11423478","title":"Driveindia: an Object Detection Dataset for Diverse Indian Traffic Scenes","display_name":"Driveindia: an Object Detection Dataset for Diverse Indian Traffic Scenes","publication_year":2025,"publication_date":"2025-11-18","ids":{"openalex":"https://openalex.org/W7137181024","doi":"https://doi.org/10.1109/itsc60802.2025.11423478"},"language":null,"primary_location":{"id":"doi:10.1109/itsc60802.2025.11423478","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc60802.2025.11423478","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 28th International Conference on Intelligent Transportation Systems (ITSC)","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/A5129457441","display_name":"Rishav Kumar","orcid":null},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Rishav Kumar","raw_affiliation_strings":["TiHAN IIT Hyderabad"],"affiliations":[{"raw_affiliation_string":"TiHAN IIT Hyderabad","institution_ids":["https://openalex.org/I65181880"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129556802","display_name":"D. Santhosh Reddy","orcid":null},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"D. Santhosh Reddy","raw_affiliation_strings":["TiHAN IIT Hyderabad"],"affiliations":[{"raw_affiliation_string":"TiHAN IIT Hyderabad","institution_ids":["https://openalex.org/I65181880"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069669674","display_name":"P. Rajalakshmi","orcid":"https://orcid.org/0000-0002-7252-6728"},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"P. Rajalakshmi","raw_affiliation_strings":["Department of Electrical Engineering, IIT Hyderabad and Director of TiHAN"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, IIT Hyderabad and Director of TiHAN","institution_ids":["https://openalex.org/I65181880"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5129457441"],"corresponding_institution_ids":["https://openalex.org/I65181880"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.76272734,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4249","last_page":"4254"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.365200012922287,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.365200012922287,"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":0.1096000000834465,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.07249999791383743,"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/object-detection","display_name":"Object detection","score":0.5791000127792358},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4366999864578247},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.3264999985694885},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3140000104904175},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.2892000079154968}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6194999814033508},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5996000170707703},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5791000127792358},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.559499979019165},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4366999864578247},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.3264999985694885},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3140000104904175},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2892000079154968},{"id":"https://openalex.org/C32653426","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Background subtraction","level":3,"score":0.2678000032901764},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.26660001277923584},{"id":"https://openalex.org/C71681937","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object-class detection","level":5,"score":0.2578999996185303},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.25619998574256897}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc60802.2025.11423478","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc60802.2025.11423478","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 28th International Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1965475047","https://openalex.org/W2150066425","https://openalex.org/W2340897893","https://openalex.org/W2901870313","https://openalex.org/W2966181029","https://openalex.org/W3033639723","https://openalex.org/W3081995156","https://openalex.org/W4285404375","https://openalex.org/W4319300306","https://openalex.org/W4391889473","https://openalex.org/W4400647516","https://openalex.org/W4402754006"],"related_works":[],"abstract_inverted_index":{"We":[0,89],"introduce":[1],"DriveIndia,":[2],"a":[3,81,103],"large-scale":[4],"object":[5,32,119],"detection":[6,120],"dataset":[7,20,134],"purpose-built":[8],"to":[9,113],"capture":[10],"the":[11,99,131],"complexity":[12],"and":[13,48,53,63,76],"unpredictability":[14],"of":[15,109],"Indian":[16],"traffic":[17,51],"environments.":[18],"The":[19],"contains":[21],"66,986":[22],"high-resolution":[23],"images":[24],"annotated":[25],"in":[26,116],"YOLO":[27,95],"format":[28],"across":[29,73],"24":[30],"traffic-relevant":[31],"categories,":[33],"encompassing":[34],"diverse":[35],"conditions":[36],"such":[37],"as":[38],"varied":[39],"weather":[40],"(fog,":[41],"rain),":[42],"illumination":[43],"changes,":[44],"heterogeneous":[45],"road":[46,123],"infrastructure,":[47],"dense,":[49],"mixed":[50],"patterns":[52],"collected":[54],"over":[55],"<tex":[56,65,104],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[57,66,105],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$\\mathbf{1":[58],"2":[59],"0}":[60,70],"\\boldsymbol{+}$</tex>":[61,71],"hours":[62],"covering":[64],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$\\mathbf{3,":[67],"4":[68],"0":[69],"kilometers":[72],"urban,":[74],"rural,":[75],"highway":[77],"routes.":[78],"DriveIndia":[79,125],"offers":[80],"comprehensive":[82],"benchmark":[83],"for":[84],"realworld":[85],"autonomous":[86],"driving":[87],"challenges.":[88],"provide":[90],"baseline":[91],"results":[92],"using":[93],"state-of-the-art":[94],"family":[96],"models,":[97],"with":[98],"top-performing":[100],"variant":[101],"achieving":[102],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$m":[106],"A":[107],"P_{50}$</tex>":[108],"78.7":[110],"%.":[111],"Designed":[112],"support":[114],"research":[115],"robust,":[117],"generalizable":[118],"under":[121],"uncertain":[122],"conditions,":[124],"will":[126],"be":[127],"publicly":[128],"available":[129],"via":[130],"TiHAN-IIT":[132],"Hyderabad":[133],"repository":[135],"(https://tihan.iith.ac.in/tiand-datasets/).":[136]},"counts_by_year":[],"updated_date":"2026-03-18T06:27:02.140700","created_date":"2026-03-17T00:00:00"}
