An embedding-based method detects and localizes anomalies in driving scenes via nearest-neighbor similarity to a single reference image, evaluated on benchmarks and real automated vehicles.
Dense out-of-distribution detection by robust learn- ing on synthetic negative data.Sensors, 2024
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Real-World On-Vehicle Evaluation of Embedding-Based Anomaly Detection
An embedding-based method detects and localizes anomalies in driving scenes via nearest-neighbor similarity to a single reference image, evaluated on benchmarks and real automated vehicles.