Mustafa Kemal Uyguroglu

Uncertainty-Aware Real-Time Visual Anomaly Detection With Conformal Prediction in Dynamic Indoor Environments

This letter presents an efficient visual anomaly detection framework designed for safe autonomous navigation in dynamic indoor environments, such as university hallways. The approach employs an unsupervised autoencoder method within deep learning to model regular environmental patterns and detect an