{"id":188,"date":"2026-06-04T04:00:00","date_gmt":"2026-06-04T04:00:00","guid":{"rendered":"https:\/\/futurenews24.com\/index.php\/2026\/06\/04\/2304-10891\/"},"modified":"2026-06-04T18:42:03","modified_gmt":"2026-06-04T18:42:03","slug":"2304-10891","status":"publish","type":"post","link":"https:\/\/futurenews24.com\/index.php\/2026\/06\/04\/2304-10891\/","title":{"rendered":"[2304.10891] Transformer-Based mostly Autonomous Driving Fashions and Deployment-Oriented Compression: A Survey"},"content":{"rendered":"<p><br \/>\n<\/p>\n<div id=\"content-inner\">\n<div id=\"abs\">\n<div class=\"dateline\">\n  [Submitted on 21 Apr 2023 (v1), last revised 3 Jun 2026 (this version, v3)]<\/div>\n<p>View a PDF of the paper titled Transformer-Based mostly Autonomous Driving Fashions and Deployment-Oriented Compression: A Survey, by Juan Zhong and three different authors<\/p>\n<p>    View PDF<br \/>\n    HTML (experimental)<\/p>\n<blockquote class=\"abstract mathjax\"><p>\n            <span class=\"descriptor\">Summary:<\/span>Transformer-based fashions have gotten a central paradigm in autonomous driving as a result of they will seize long-range spatial dependencies, multi-agent interactions, and multimodal context throughout notion, prediction, and planning. On the identical time, their deployment in actual automobiles stays tough as a result of high-capacity attention-based architectures impose substantial latency, reminiscence, and vitality overhead. This survey evaluations consultant Transformer-based autonomous driving fashions and organizes them by activity function, sensing configuration, and architectural design. Extra importantly, it examines these fashions from a deployment-oriented perspective and analyzes how effectivity constraints reshape mannequin design decisions in apply. We additional assessment compression and acceleration methods related to Transformer-based driving programs, together with quantization, pruning, data distillation, low-rank approximation, and environment friendly consideration, and talk about their advantages, limitations, and task-dependent applicability. Reasonably than treating compression as an remoted post-processing step, we spotlight it as a system-level design consideration that immediately impacts deployability, robustness, and security. Lastly, we determine open challenges and future analysis instructions towards standardized, safety-aware, and hardware-conscious analysis of environment friendly autonomous driving programs.\n    <\/p><\/blockquote><\/div>\n<\/div>\n<div>\n<h2>Submission historical past<\/h2>\n<p> From: Xi Chen [view email]                  [v1]<br \/>\n        Fri, 21 Apr 2023 11:15:31 UTC (3,161 KB)<br \/>\n            [v2]<br \/>\n        Tue, 12 Could 2026 01:59:15 UTC (571 KB)<br \/>\n    [v3]<br \/>\n        Wed, 3 Jun 2026 12:29:34 UTC (571 KB)\n<\/p><\/div>\n<p><br \/>\n<br \/><a href=\"https:\/\/arxiv.org\/abs\/2304.10891\">Source link <\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>[Submitted on 21 Apr 2023 (v1), last revised 3 Jun 2026 (this version, v3)] View a PDF of the paper titled Transformer-Based mostly Autonomous Driving Fashions and Deployment-Oriented Compression: A Survey, by Juan Zhong and three different authors View PDF HTML (experimental) Summary:Transformer-based fashions have gotten a central paradigm in autonomous driving as a result [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":190,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"fifu_image_url":"http:\/\/arxiv.org\/static\/browse\/0.3.4\/images\/arxiv-logo-fb.png","fifu_image_alt":"","jnews-multi-image_gallery":[],"jnews_single_post":[],"jnews_primary_category":[],"jnews_override_bookmark_settings":[],"jnews_social_meta":[],"jnews_override_counter":[],"footnotes":""},"categories":[2],"tags":[291,295,294,292,293,296,290],"class_list":["post-188","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-research-breakthroughs","tag-autonomous","tag-compression","tag-deploymentoriented","tag-driving","tag-models","tag-survey","tag-transformerbased"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.7 - 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