An onboard vision pipeline detects work zones and temporary speed limits using object detection fused with semantic checks and hysteresis smoothing, achieving 96.5% recall on work-zone events and 95.45% precision on speed limits.
Towards explainable, safe autonomous driving with language embeddings for novelty identification and active learning: Framework and experimental analysis with real-world data sets,
2 Pith papers cite this work. Polarity classification is still indexing.
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L-LIO integrates audio with visual data to enhance driver safety assessment and intelligent vehicle decision-making via multimodal sensor fusion.
citing papers explorer
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Vision-Language Work Zone Intelligence for Safety-Critical Speed Regulation of Mixed-Autonomy Vehicles in Dynamic Environments
An onboard vision pipeline detects work zones and temporary speed limits using object detection fused with semantic checks and hysteresis smoothing, achieving 96.5% recall on work-zone events and 95.45% precision on speed limits.
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Looking and Listening Inside and Outside: Multimodal Artificial Intelligence Systems for Driver Safety Assessment and Intelligent Vehicle Decision-Making
L-LIO integrates audio with visual data to enhance driver safety assessment and intelligent vehicle decision-making via multimodal sensor fusion.