{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T09:02:46Z","timestamp":1730278966822,"version":"3.28.0"},"reference-count":14,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,7,11]],"date-time":"2021-07-11T00:00:00Z","timestamp":1625961600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,7,11]],"date-time":"2021-07-11T00:00:00Z","timestamp":1625961600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,7,11]],"date-time":"2021-07-11T00:00:00Z","timestamp":1625961600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,7,11]]},"DOI":"10.1109\/iv48863.2021.9575743","type":"proceedings-article","created":{"date-parts":[[2021,11,1]],"date-time":"2021-11-01T20:59:16Z","timestamp":1635800356000},"page":"791-796","source":"Crossref","is-referenced-by-count":0,"title":["Error mitigation for untrained data utilizing generative model in vehicle shape estimation with millimeter-wave radar by deep neural network"],"prefix":"10.1109","author":[{"given":"Tokihiko","family":"Akita","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haruya","family":"Kyutoku","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ukyo","family":"Tanikawa","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yusuke","family":"Akamine","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","first-page":"2598","article-title":"Accurate Parking Scene Reconstruction using High-Resolution Millimeter-Wave Radar","author":"akita","year":"0","journal-title":"2020 IEEE Intelligent Transportation Systems Conference (ITSC)"},{"key":"ref11","first-page":"25","article-title":"Recognition ability for millimeter-wave radar Hyper resolution by new principle at once, Romance of the Three Kingdoms in vehicular sensor field","volume":"3","author":"amano","year":"2018","journal-title":"2nd division Nikkei Electronics 2018"},{"key":"ref12","article-title":"A Primer on Bezier Curves","author":"kamermans","year":"2011","journal-title":"(online book)"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.cagd.2012.03.001"},{"key":"ref14","article-title":"Auto-Encoding Variational Bayes","author":"kingma","year":"0","journal-title":"International Conference on Learning Representations (ICLR)"},{"key":"ref4","first-page":"2866","article-title":"Occupancy Grids Generation U sing Deep Radar Network for Autonomous Driving","author":"engelhardt","year":"0","journal-title":"2019 IEEE International Conference on Intelligent Transportation Systems"},{"key":"ref3","first-page":"75","article-title":"Automotive Millimeter Wave Radar","volume":"64","author":"inaba","year":"2010","journal-title":"Society of Automotive Engineers Journal"},{"key":"ref6","article-title":"Learning a Rotation Invariant Detector with Rotatable Bounding Box","author":"liu","year":"2017","journal-title":"ArXiv"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2019.8917000"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2019.8813808"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8793263"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.iatssr.2019.11.005"},{"key":"ref9","article-title":"SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation","author":"badrinarayanan","year":"2015","journal-title":"ArXiv"},{"key":"ref1","article-title":"Generalization Error in Deep Learning","author":"jakubovitzl","year":"2019","journal-title":"ArXiv"}],"event":{"name":"2021 IEEE Intelligent Vehicles Symposium (IV)","start":{"date-parts":[[2021,7,11]]},"location":"Nagoya, Japan","end":{"date-parts":[[2021,7,17]]}},"container-title":["2021 IEEE Intelligent Vehicles Symposium (IV)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9575127\/9575130\/09575743.pdf?arnumber=9575743","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T15:47:52Z","timestamp":1652197672000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9575743\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7,11]]},"references-count":14,"URL":"https:\/\/doi.org\/10.1109\/iv48863.2021.9575743","relation":{},"subject":[],"published":{"date-parts":[[2021,7,11]]}}}