Event-RGB Adaptive Tracking for Nighttime Highway Perception
Intelligent Transportation Systems deployed on highways predominantly rely on conventional RGB cameras for traffic perception and vehicle tracking. However, highway environments present unique challenges: the absence of artificial lighting infrastructure, combined with high vehicle velocities, results in severely degraded perception performance under low-light conditions. Specifically, nighttime scenarios suffer from motion blur, insufficient exposure, and poor signal-to-noise ratios, which catastrophically impair the reliability of RGB-based sensing systems. To address these limitations, we p
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Paper → model → repo connections mined from source citations (Tier-1 exact match).
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- LinkedLinked via arxiv author · 85%Haidong Wang →
“Event-RGB Adaptive Tracking for Nighttime Highway Perception”
- LinkedLinked via arxiv author · 85%Hengxing Cai →
“Event-RGB Adaptive Tracking for Nighttime Highway Perception”
- LinkedLinked via arxiv author · 85%Wanlei Li →
“Event-RGB Adaptive Tracking for Nighttime Highway Perception”
- LinkedLinked via arxiv author · 85%Xiaogang Xiong →
“Event-RGB Adaptive Tracking for Nighttime Highway Perception”
- LinkedLinked via arxiv author · 85%Renxin Zhong →
“Event-RGB Adaptive Tracking for Nighttime Highway Perception”