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Context-Aware Intelligent Vehicles

arXiv · AI, language, vision and robotics · article · Sep 1, 2026 · UTC

Intelligent vehicles increasingly support adaptive applications beyond driving themselves, ranging from context-aware ADAS and automated driving to in-cabin monitoring and fleet management, all under tight requirements on accuracy, latency, cost, and reliability. Meeting these requirements is challenging because vehicles operate in complex, uncertain, and rapidly changing environments while running on resource-constrained computing platforms. This paper argues that context-situational factors that give meaning to sensor signals and constrain decisions-should be treated as a first-class princip

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Evidence & attribution

First collected: 2026-09-21T06:21:59.299Z. This is not the publication date.