Abstract: 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 ...

Abstract: Most existing dynamic simultaneous localization and mapping (SLAM) methods integrating neural networks require high computational support and predefined categories of dynamic objects. This ...

Dr. James McCaffrey presents a complete end-to-end demonstration of anomaly detection using k-means data clustering, implemented with JavaScript. Compared to other anomaly detection techniques, ...