AI RESEARCH
Physics-Grounded Monocular Vehicle Distance Estimation Using Standardized License Plate Typography
arXiv CS.CV
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ArXi:2604.12239v1 Announce Type: new Accurate inter-vehicle distance estimation is a cornerstone of Advanced Driver Assistance Systems (ADAS) and autonomous driving. While LiDAR and radar provide high precision, their high cost prohibits widespread adoption in mass-market vehicles. Monocular camera-based estimation offers a low-cost alternative but suffers from fundamental scale ambiguity. Recent deep learning methods for monocular depth achieve impressive results yet require expensive supervised.