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Application of Mobile Signal Processing in the Auto-drive
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Abstract
The application of mobile signal processing in the realm of autonomous driving represents a pivotal advancement in the automotive industry, revolutionizing the way vehicles perceive, interpret, and navigate their environments. Mobile signal processing techniques, coupled with advanced sensor technologies and artificial intelligence, enable autonomous vehicles to analyze real-time data from mobile devices, sensors, and connected infrastructure, facilitating safe, efficient, and intelligent navigation on roadways. This introduction explores the transformative potential of mobile signal processing in autonomous driving, highlighting key applications, challenges, and implications for the future of transportation.
Keywords
application, mobile signal processing, auto-drive
[1]. Wright, Joanna. "Smugglers Exploit Security Situation in Libya." Jane's Intelligence Review 27.7 (2015)ProQuest Political Science. Web. 16 Dec. 2015.
[2]. "THE COUNCIL ON FOREIGN RELATIONS HOLDS A CONFERENCE CALL ON EUROPE'S MIGRATION CRISIS." Political Transcript WireSep 14 2015. ProQuest Political Science. Web. 16 Dec. 2015 <http://search.proquest.com/docview/1712371379?accountid=11456>.
[3]. Peretz, Don. "The Arab Refugees: A Changing Problem." Foreign Affairs (pre-1986) 41.000003 (1963): 558. ProQuest Political Science. Web. 16 Dec. 2015.
[4]. Luedtke, Adam. ""Crisis" and Reality in European Immigration Policy." Current History 114.770 (2015): 89-94. ProQuest Political Science. Web. 16 Dec. 2015.
[5]. Hungary's Orban Calls Migrant Crisis A 'German Problem'. Lanham: Federal Information & News Dispatch, Inc, 2015. ProQuest Political Science. Web. 16 Dec. 2015.
Cite this article
Lavine,L. (2024). Application of Mobile Signal Processing in the Auto-drive. Journal of Advances in Signal Processing-Test,1(1),7-11.
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The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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Journal：Journal of Advances in Signal Processing-Test
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