{"id":"https://openalex.org/W3009604100","doi":"https://doi.org/10.1109/wacv45572.2020.9093634","title":"Real-time vehicle distance estimation using single view geometry","display_name":"Real-time vehicle distance estimation using single view geometry","publication_year":2020,"publication_date":"2020-03-01","ids":{"openalex":"https://openalex.org/W3009604100","doi":"https://doi.org/10.1109/wacv45572.2020.9093634","mag":"3009604100"},"language":"en","primary_location":{"id":"doi:10.1109/wacv45572.2020.9093634","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv45572.2020.9093634","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Winter Conference on Applications of Computer Vision (WACV)","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/A5100693435","display_name":"Ahmed Ali","orcid":"https://orcid.org/0000-0002-9186-7544"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Ahmed Ali","raw_affiliation_strings":["KeepTruckin Inc., Lahore, Pakistan"],"affiliations":[{"raw_affiliation_string":"KeepTruckin Inc., Lahore, Pakistan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038396659","display_name":"Ali Hassan","orcid":"https://orcid.org/0000-0003-1667-7166"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ali Hassan","raw_affiliation_strings":["KeepTruckin Inc., Lahore, Pakistan"],"affiliations":[{"raw_affiliation_string":"KeepTruckin Inc., Lahore, Pakistan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027102466","display_name":"Afsheen Rafaqat Ali","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Afsheen Rafaqat Ali","raw_affiliation_strings":["KeepTruckin Inc., Lahore, Pakistan"],"affiliations":[{"raw_affiliation_string":"KeepTruckin Inc., Lahore, Pakistan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018793102","display_name":"Hussam Ullah Khan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hussam Ullah Khan","raw_affiliation_strings":["KeepTruckin Inc., Lahore, Pakistan"],"affiliations":[{"raw_affiliation_string":"KeepTruckin Inc., Lahore, Pakistan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073113179","display_name":"Wajahat Kazmi","orcid":"https://orcid.org/0000-0002-4608-6810"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wajahat Kazmi","raw_affiliation_strings":["KeepTruckin Inc., Lahore, Pakistan"],"affiliations":[{"raw_affiliation_string":"KeepTruckin Inc., Lahore, Pakistan","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005282226","display_name":"Aamer Zaheer","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aamer Zaheer","raw_affiliation_strings":["KeepTruckin Inc., Lahore, Pakistan"],"affiliations":[{"raw_affiliation_string":"KeepTruckin Inc., Lahore, Pakistan","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100693435"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.865,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.87720087,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1100","last_page":"1109"},"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":0.9990000128746033,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/advanced-driver-assistance-systems","display_name":"Advanced driver assistance systems","score":0.7097353935241699},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7021193504333496},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6773554086685181},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6493432521820068},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.6104251146316528},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5220715403556824},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.43651461601257324},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.41185060143470764},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.19038274884223938},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1408795714378357}],"concepts":[{"id":"https://openalex.org/C87833898","wikidata":"https://www.wikidata.org/wiki/Q1060280","display_name":"Advanced driver assistance systems","level":2,"score":0.7097353935241699},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7021193504333496},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6773554086685181},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6493432521820068},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.6104251146316528},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5220715403556824},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.43651461601257324},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.41185060143470764},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.19038274884223938},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1408795714378357}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wacv45572.2020.9093634","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv45572.2020.9093634","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Winter Conference on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7400000095367432,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W47897999","https://openalex.org/W281766413","https://openalex.org/W639708223","https://openalex.org/W1482548926","https://openalex.org/W1592011777","https://openalex.org/W1604693428","https://openalex.org/W1606951770","https://openalex.org/W1772650917","https://openalex.org/W1781337833","https://openalex.org/W1898645800","https://openalex.org/W2026203852","https://openalex.org/W2040939933","https://openalex.org/W2042162868","https://openalex.org/W2070403512","https://openalex.org/W2085261163","https://openalex.org/W2109363615","https://openalex.org/W2115579991","https://openalex.org/W2116851763","https://openalex.org/W2118002377","https://openalex.org/W2124907686","https://openalex.org/W2155871590","https://openalex.org/W2158211626","https://openalex.org/W2171740948","https://openalex.org/W2194775991","https://openalex.org/W2300779272","https://openalex.org/W2482325425","https://openalex.org/W2502713862","https://openalex.org/W2520707372","https://openalex.org/W2613718673","https://openalex.org/W2780740184","https://openalex.org/W2793642768","https://openalex.org/W2794739174","https://openalex.org/W2951234442","https://openalex.org/W2962741876","https://openalex.org/W2962816904","https://openalex.org/W2963316641","https://openalex.org/W2963488291","https://openalex.org/W2963502507","https://openalex.org/W2963517541","https://openalex.org/W2963583471","https://openalex.org/W2963611454","https://openalex.org/W2963654727","https://openalex.org/W2963760790","https://openalex.org/W6620707391","https://openalex.org/W6636451252","https://openalex.org/W6639543462","https://openalex.org/W6660567044","https://openalex.org/W6683067110","https://openalex.org/W6685261749","https://openalex.org/W6721735011","https://openalex.org/W6747394537"],"related_works":["https://openalex.org/W4319317934","https://openalex.org/W2901265155","https://openalex.org/W2956374172","https://openalex.org/W4319837668","https://openalex.org/W4308071650","https://openalex.org/W3188333020","https://openalex.org/W1964041166","https://openalex.org/W4390887692","https://openalex.org/W4210818033","https://openalex.org/W4221065211"],"abstract_inverted_index":{"Distance":[0],"estimation":[1,50,89],"is":[2,16,61,76,241,245],"required":[3],"for":[4,18,33,87],"advanced":[5],"driver":[6],"assistance":[7],"systems":[8],"(ADAS)":[9],"as":[10,12,170,182,184],"well":[11,92,183],"self-driving":[13],"cars.":[14],"It":[15,219],"crucial":[17],"obstacle":[19],"avoidance,":[20],"tailgating":[21],"detection":[22,98],"and":[23,28,57,78,96,129,137,173,202,244],"accident":[24],"prevention.":[25],"Currently,":[26],"radars":[27],"lidars":[29],"are":[30,37,148],"primarily":[31],"used":[32,167],"this":[34,66],"purpose":[35],"which":[36,75],"either":[38],"expensive":[39],"or":[40,48],"offer":[41],"poor":[42],"resolution.":[43],"Deep":[44],"learning":[45,188,237],"based":[46,189],"depth":[47,191],"distance":[49,88],"techniques":[51],"require":[52],"huge":[53],"amount":[54],"of":[55,82,100,115,142,177,225],"data":[56,169],"ensuring":[58],"domain":[59],"invariance":[60],"a":[62,70,133,157,212],"challenge.":[63],"Therefore,":[64],"in":[65],"paper,":[67],"we":[68,166],"propose":[69],"single":[71],"view":[72],"geometric":[73,80],"approach":[74],"lightweight":[77],"uses":[79,113],"features":[81],"the":[83,94,138,143,146,160,175,185,208,226],"road":[84,147,162],"lane":[85,95,116,135],"markings":[86],"that":[90,207],"integrates":[91],"with":[93,180],"vehicle":[97],"modules":[99],"an":[101,124],"existing":[102],"ADAS.":[103],"Our":[104],"system":[105,210],"introduces":[106],"novelty":[107],"on":[108,145,196,223,229],"two":[109,224],"fronts:":[110],"(1)":[111],"it":[112,122,231,240],"cross-ratios":[114],"boundaries":[117],"to":[118,156,217],"estimate":[119],"horizon":[120],"(2)":[121],"determines":[123],"Inverse":[125],"Perspective":[126],"Mapping":[127],"(IPM)":[128],"camera":[130],"height":[131],"from":[132],"known":[134],"width":[136],"detected":[139],"horizon.":[140],"Distances":[141],"vehicles":[144],"then":[149],"calculated":[150],"by":[151],"back":[152],"projecting":[153],"image":[154],"point":[155],"ray":[158],"intersecting":[159],"reconstructed":[161],"plane.":[163],"For":[164],"evaluation,":[165],"lidar":[168],"ground":[171],"truth":[172],"compare":[174],"performance":[176],"our":[178],"algorithm":[179],"radar":[181],"state-of-the-art":[186],"deep":[187,236],"monocular":[190],"prediction":[192],"algorithms.":[193],"The":[194],"results":[195],"three":[197],"public":[198],"datasets":[199,227],"(Kitti,":[200],"nuScenes":[201],"Lyft":[203],"level":[204],"5)":[205],"showed":[206],"proposed":[209],"maintains":[211],"consistent":[213],"RMSE":[214],"between":[215],"6.10":[216],"7.31.":[218],"outperforms":[220],"other":[221],"algorithms":[222],"while":[228],"KITTI":[230],"falls":[232],"behind":[233],"one":[234],"(supervised)":[235],"method.":[238],"Furthermore,":[239],"computationally":[242],"inexpensive":[243],"data-domain":[246],"invariant.":[247]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":3}],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-10T00:00:00"}
