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anomaly segmentation 1autonomous vehicles 1embedded systems 1real-time inference 1tensorRT 1

From the 1 of 1 linked paper with an AI index.

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1 paper

cs.CV2026

Towards Real-Time PixOOD: Efficient Anomaly Segmentation for Autonomous Vehicles

Luca de Martino, Federico Aromolo, Federico Nesti +1

The paper proposes an efficient, real‑time anomaly segmentation pipeline for autonomous vehicles by reformulating PixOOD's Neyman‑Pearson scoring and deploying it with TensorRT, ac…