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By opportunistically accessing the periodically broadcast 5G Synchronization Signal Blocks (SSBs) for localization,\n                    <jats:italic toggle=\"yes\">ACCESS-AV<\/jats:italic>\n                    obviates the need for dedicated Roadside Units (RSUs) or additional onboard sensors to achieve energy efficiency as well as cost reduction. We implement an Angle-of-Arrival (AoA)-based estimation method using the Multiple Signal Classification (MUSIC) algorithm, optimized for resource-constrained ADV platforms through an adaptive communication-computation strategy that dynamically balances energy consumption with localization accuracy based on environmental conditions such as Signal-to-Noise Ratio (SNR) and vehicle velocity. Experimental results demonstrate that\n                    <jats:italic toggle=\"yes\">ACCESS-AV<\/jats:italic>\n                    achieves an average energy reduction of 43.09% compared to non-adaptive systems employing AoA algorithms such as vanilla MUSIC, ESPRIT, and Root-MUSIC. It maintains sub-30\u00a0cm localization accuracy while also delivering substantial reductions in infrastructure and operational costs, establishing its viability for sustainable smart factory environments.\n                  <\/jats:p>","DOI":"10.1145\/3771770","type":"journal-article","created":{"date-parts":[[2025,10,13]],"date-time":"2025-10-13T11:35:48Z","timestamp":1760355348000},"page":"1-24","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["ACCESS-AV:\n                    <u>A<\/u>\n                    daptive\n                    <u>C<\/u>\n                    ommunication-\n                    <u>C<\/u>\n                    omputation Cod\n                    <u>e<\/u>\n                    sign for\n                    <u>S<\/u>\n                    u\n                    <u>s<\/u>\n                    tainable\n                    <u>A<\/u>\n                    utonomous\n                    <u>V<\/u>\n                    ehicle Localization in Smart Factories?"],"prefix":"10.1145","volume":"25","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8355-1398","authenticated-orcid":false,"given":"Rajat","family":"Bhattacharjya","sequence":"first","affiliation":[{"name":"Department of Computer Science, University of California, Irvine","place":["Irvine, United States"]}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-1817-204X","authenticated-orcid":false,"given":"Arnab","family":"Sarkar","sequence":"additional","affiliation":[{"name":"Department of Electronics and Electrical Communication Engineering, Indian Institute of Technology, Kharagpur","place":["Kharagpur, India"]}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-2961-1768","authenticated-orcid":false,"given":"Ish","family":"Kool","sequence":"additional","affiliation":[{"name":"Independent Researcher","place":["Lucknow, India"]}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0245-2903","authenticated-orcid":false,"given":"Sabur","family":"Baidya","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, University of Louisville","place":["Louisville, United States"]}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3060-8119","authenticated-orcid":false,"given":"Nikil","family":"Dutt","sequence":"additional","affiliation":[{"name":"Department of Computer Science, University of California, Irvine","place":["Irvine, United States"]}]}],"member":"320","published-online":{"date-parts":[[2026,1,8]]},"reference":[{"key":"e_1_3_3_2_2","doi-asserted-by":"publisher","DOI":"10.1109\/5GWF.2019.8911687"},{"key":"e_1_3_3_3_2","unstructured":"([n. d.]). 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