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.
Anomaly detection in autonomous driving: A survey
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.