{"id":"https://openalex.org/W2970611670","doi":"https://doi.org/10.1109/ivs.2019.8813815","title":"Headlight Range Estimation for Autonomous Driving using Deep Neural Networks","display_name":"Headlight Range Estimation for Autonomous Driving using Deep Neural Networks","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W2970611670","doi":"https://doi.org/10.1109/ivs.2019.8813815","mag":"2970611670"},"language":"en","primary_location":{"id":"doi:10.1109/ivs.2019.8813815","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2019.8813815","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Intelligent Vehicles Symposium (IV)","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/A5080121999","display_name":"Jakob Mayr","orcid":null},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Jakob Mayr","raw_affiliation_strings":["Chair for Computer Aided Medical Procedures, Technical University Munich, Garching, Germany"],"affiliations":[{"raw_affiliation_string":"Chair for Computer Aided Medical Procedures, Technical University Munich, Garching, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082465470","display_name":"Can Giracoglu","orcid":null},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Can Giracoglu","raw_affiliation_strings":["Chair for Computer Aided Medical Procedures, Technical University Munich, Garching, Germany"],"affiliations":[{"raw_affiliation_string":"Chair for Computer Aided Medical Procedures, Technical University Munich, Garching, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034106438","display_name":"Christian Unger","orcid":null},"institutions":[{"id":"https://openalex.org/I4210156768","display_name":"BMW Group (Germany)","ror":"https://ror.org/044kkbh92","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210156768"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Christian Unger","raw_affiliation_strings":["BMW Group, Munich, Germany"],"affiliations":[{"raw_affiliation_string":"BMW Group, Munich, Germany","institution_ids":["https://openalex.org/I4210156768"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041092666","display_name":"Federico Tombari","orcid":"https://orcid.org/0000-0001-5598-5212"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Federico Tombari","raw_affiliation_strings":["Chair for Computer Aided Medical Procedures, Technical University Munich, Garching, Germany"],"affiliations":[{"raw_affiliation_string":"Chair for Computer Aided Medical Procedures, Technical University Munich, Garching, Germany","institution_ids":["https://openalex.org/I62916508"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5080121999"],"corresponding_institution_ids":["https://openalex.org/I62916508"],"apc_list":null,"apc_paid":null,"fwci":0.3065,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.60815617,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2251","last_page":"2258"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9993000030517578,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9993000030517578,"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/T11963","display_name":"Impact of Light on Environment and Health","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental 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":0.9948999881744385,"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/robustness","display_name":"Robustness (evolution)","score":0.7648499011993408},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7168748378753662},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6019187569618225},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5117354393005371},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4809831380844116},{"id":"https://openalex.org/keywords/advanced-driver-assistance-systems","display_name":"Advanced driver assistance systems","score":0.4782511293888092},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.42995381355285645},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4145652949810028},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.36196208000183105}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7648499011993408},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7168748378753662},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6019187569618225},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5117354393005371},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4809831380844116},{"id":"https://openalex.org/C87833898","wikidata":"https://www.wikidata.org/wiki/Q1060280","display_name":"Advanced driver assistance systems","level":2,"score":0.4782511293888092},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.42995381355285645},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4145652949810028},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.36196208000183105},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ivs.2019.8813815","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2019.8813815","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Intelligent Vehicles Symposium (IV)","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":15,"referenced_works":["https://openalex.org/W602143979","https://openalex.org/W1674505557","https://openalex.org/W2097117768","https://openalex.org/W2108598243","https://openalex.org/W2131963406","https://openalex.org/W2162569595","https://openalex.org/W2163605009","https://openalex.org/W2171740948","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2279098554","https://openalex.org/W2802857519","https://openalex.org/W2949605076","https://openalex.org/W2951234442","https://openalex.org/W6685261749"],"related_works":["https://openalex.org/W4379116102","https://openalex.org/W3210882018","https://openalex.org/W2970990331","https://openalex.org/W4377865163","https://openalex.org/W3207178610","https://openalex.org/W3211782752","https://openalex.org/W3193857078","https://openalex.org/W2888956734","https://openalex.org/W3000197790","https://openalex.org/W4315865067"],"abstract_inverted_index":{"When":[0],"driving":[1,15,169],"at":[2,16],"night,":[3],"a":[4,40,139,164,189],"good":[5],"illumination":[6,83],"of":[7,31,42,53,84,92,143,163,183,201],"the":[8,33,47,54,67,85,90,98,120,161,199],"road":[9,86],"ahead":[10,87],"is":[11,127,210],"crucial.":[12],"With":[13],"autonomous":[14,28,38],"close":[17],"temporal":[18],"proximity,":[19],"this":[20,71,125],"not":[21],"only":[22],"concerns":[23],"human":[24],"drivers":[25],"but":[26],"also":[27,104],"systems":[29,171],"capable":[30],"controlling":[32],"car.":[34],"To":[35,69,96,197],"achieve":[36,178],"fully":[37],"driving,":[39],"variety":[41],"sensors":[43],"are":[44,75],"integrated":[45],"into":[46],"vehicles.":[48],"Cameras":[49],"act":[50],"as":[51],"one":[52],"major":[55],"sensors.":[56],"However,":[57],"due":[58,133],"to":[59,103,115,129,134,149],"their":[60,157],"passivity,":[61],"cameras":[62],"cannot":[63],"see":[64],"well":[65],"in":[66,181,193],"dark.":[68],"mitigate":[70],"shortcoming,":[72],"modern":[73],"cars":[74],"equipped":[76],"with":[77],"powerful":[78],"headlights":[79,154],"that":[80,175],"provide":[81,105],"proper":[82],"while":[88],"avoiding":[89],"dazzling":[91],"other":[93],"traffic":[94],"participants.":[95],"use":[97],"headlights'":[99],"full":[100],"potential":[101],"and":[102,146,185],"advanced":[106,168],"light":[107],"functionality":[108],"like":[109],"glare-free":[110],"high":[111,179],"beam,":[112],"they":[113],"need":[114],"be":[116],"properly":[117],"adjusted.":[118],"After":[119],"initial":[121],"calibration":[122],"during":[123],"production,":[124],"setting":[126],"prone":[128],"undesirable":[130],"degradation,":[131],"primarily":[132],"mechanical":[135],"reasons.":[136],"We":[137,173],"present":[138],"completely":[140],"new":[141],"application":[142],"computer":[144],"vision":[145],"machine":[147],"learning":[148],"automatically":[150],"detect":[151],"wrongly":[152],"adjusted":[153],"by":[155,187],"estimating":[156],"pitch":[158],"angle":[159],"from":[160],"images":[162],"vehicle-attached":[165],"camera":[166],"for":[167],"assistance":[170],"(ADAS).":[172],"show":[174],"we":[176],"can":[177],"performance":[180],"terms":[182],"accuracy":[184],"robustness":[186],"training":[188],"deep":[190],"neural":[191],"network":[192],"an":[194,205],"end-to-end":[195],"fashion.":[196],"demonstrate":[198],"benefits":[200],"our":[202],"proposed":[203],"approach,":[204],"additional":[206],"handcrafted":[207],"baseline":[208],"method":[209],"implemented.":[211]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}