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Research

Advancing Knowledge, Driving Discovery

At SenseLab, we're passionate about delving into the depths of spatial informatics to uncover insights that can benefit society and the environment. Developing research in cutting-edge fields of Uncrewed Systems & Drones, Remote Sensing, Geographic Information Systems (GIS), Machnine Learning, Surveying and Mapping. With a multidisciplinary approach and by combining expertise from various domains we are able to address complex challenges and create innovative solutions.

Respecting the genuine function of a University we attempt not to focus on recurring applications and methods but to advance basic research, combinational research, solutions and proof of concepts in present and future challenges including:

  • Unmanned Aerial Vehicles for mapping/ communication/ collision avoidance,

  • Navigation in GNSS-denied environments,

  • UAV custom construction, autonomous behavior, algorithms and image processing, multi-modal navigation, object detection and tracking, hardware programming,

  • GNSS coordinate precision enhancement fusing drones, on-board and real time analysis of collected data,

  • Automation in precision landing on moving platforms,

  • AI-deep learning algorithms for 3D mapping and navigation,

  • Swarm collaborative missions, autonomous collaboration with unmanned terrestrial systems,

  • Graphical user interfaces in spatial databases/ queries by sketch/ gestural user interfaces,

  • Spatiotemporal data modeling/ topology/ scene similarity/ trajectory behavioral analysis,

  • Multi-temporal satellite image processing/ classification novel algorithms/ monitoring,

  • Location based services/ e-Government applications, Smart Cities, Space technology,

  • GIS tangible systems/ 3D Visualization/ Mobile applications/ Crowdsourcing,

  • Neuro-morphing and cognitive processes in image processing,

  • Neural networks/ Self-organizing map generalization,

  • Optimization of belt conveyor location in mines/ Image processing in mineral liberation

  • Video processing for Natural Hazards monitoring,

  • Space, geology, agriculture, environmental, mining, global change, architecture, archaeology, rockfall monitoring, indoors mapping, search & rescue, wetland and coastal monitoring, agrifood applications, powerline and infrastructure inspection, thermal inspection, underwater mapping and navigation, neuroscience applications.