E-Vision II: System for See & Avoid

In this project the technology developed in the E-Vision Project (TSI-020100-2011-363) is applied to obtain a system that ensures autonomous operation of unmanned aerial vehicles in shared airspaces by detecting objects using computer vision techniques and the development of escape trajectories based on the detected objects, monitored by a human operator from a ground station.

Research Lines: 

A Ground-Truth Video Dataset for the Evaluation of Vision-based Sense-and-Avoid systems

A Ground-Truth Video Dataset for the Evaluation of Vision-based Sense-and-Avoid systems

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A Ground-Truth Video Dataset for the Evaluation of Vision-based Sense-and-Avoid systems

The development and evaluation of vision-based Sense-and-Avoid systems demand flight scenario images which are expensive and risky to obtain. Nowadays Augmented Reality techniques allow the compositing of real flight scenario images with 3D aircraft models to produce useful realistic images for system development and benchmarking purposes at a much lower cost and risk.

Projects: 

E-Vision I: See & Avoid

Researches: 

Adrian Carrio

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