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Visual Control

Robust Real-time Discriminative method-based Visual Tracking for UAVs

Discriminative Visual Tracking (DVT) takes the tracking problem as a binary classification task to separate target from its surrounding background. It trains a classifier in an online method using positive and negative samples extracted from the current frame. When the next frame is coming, the samples around the old target location are extracted at this frame, and then the afore-trained classifier is applied to these samples. The location of the sample with the maximum classifier score, i.e. the most correct sample, is the new target location at this frame.





Visual Autonomous Landing of a VTOL UAV on a ship deck platform

The autonomous landing of a VTOL UAV on a ship deck platform is a challenge nowadays. We are trying to solve this problem with a visual VTOL RPAS.


Controller for the path-following of visual unmanned ground systems

This is a proposal of a control system for the path following problem of visual unmanned ground systems. This controller close the control loop using the information provided by a state estimator, generating a steering wheel reference. This controller is composed by three modules.