Image-based anomaly detection using β -Variational Autoencoder for surface vehicle collision avoidance
Unmanned vehicles need robust systems to ensure the safety of the vehicle and its environment. Being able to find and avoid perilous situations is paramount to such a system. In this paper we suggest an unsupervised image-based anomaly detection algorithm using a variational autoencoder and a superpixel segmentation algorithm, which is adapted to the maritime obstacle detection task. The algorithm
