Machine Learning and AI are essential tools for optimising many components in egeniouss, playing a core role in improving the system’s overall performance and capabilities.  

For instance, it enhances image descriptors for Visual Localisation, making them more salient, repeatable and reliable. This quality is pivotal for maintaining accurate positioning and navigation in complex environments. 

Additionally, Machine Learning provides semantic understanding of images, enabling egeniouss to interpret and categorise visual data effectively. In the Visual Odometry solution for local state estimation, AI is used for feature detection and to discriminate between static and dynamic objects, enabling precise and robust tracking of visual features over time.  

Moreover, all AI used in egeniouss adheres to ethical standards, in alignment with the European AI Act.1 This ensures that the deployment of AI technologies is responsible, transparent, and respects privacy and data protection regulations.