This repository contains the code and materials for a real-time 3D semantic mapping system developed as part of the Master's thesis: Real-Time 3D Semantic Mapping with Multimodal Data for Autonomous ...
Book Abstract: Latent semantic mapping (LSM) is a generalization of latent semantic analysis (LSA), a paradigm originally developed to capture hidden word patterns in a text document corpus. In ...
An AI-powered system that automatically maps relational database schemas and CSV files to semantic web technologies (RDF, OWL, SPARQL) using established vocabularies like DBpedia and Schema.org.
This multi-modal semantic simultaneous localisation and mapping (SLAM) technology enhances autonomous navigation and object recognition in dynamic environments. Leveraging sensor data and artificial ...
Abstract: A Tone Mapping Operator (TMO) is required to render images with a High Dynamic Range (HDR) on media with limited dynamic capabilities. TMOs compress the dynamic range with the aim of ...
Rapid acquisition of new words and construction of large vocabularies is a unique capacity of developing human brain. This process is to a large degree mediated by a neurocognitive mechanism known as ...
Robust perception systems allow farm robots to recognize weeds and vegetation, enabling the selective application of fertilizers and herbicides to mitigate the environmental impact of traditional ...
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