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Revolutionizing Turn-by-Turn Navigation with Cloud-Edge Deep Learning

arXiv · AI, language, vision and robotics · article · Aug 29, 2026 · UTC

Turn-by-turn (TBT) navigation systems are integral to modern driving experiences, providing real-time audio instructions to guide drivers safely to destinations. However, existing audio instruction policy often relies on rule-based approaches that struggle to balance informational content with cognitive load, potentially leading to driver confusion or missed turns in complex environments. To overcome these difficulties, we first model the generation of navigation instructions as a multi-task learning problem by decomposing the audio content into combinations of modular elements. Then, we propo

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Evidence & attribution

First collected: 2026-09-21T07:51:58.603Z. This is not the publication date.