Visual 3-D SLAM from UAVs

In our approach, we have defined and analyzed the following variables: the areas of the anterior and posterior corneal surfaces of the solid model generated (A ant , A post ), the

of the behavior of the users of the buildings was found to be a concern with rising interest, and a modeling approach was proposed to take advantage of

Ghaedi, Simple and selective detection of quercetin in extracts of plants and food samples by dispersive- micro-solid phase extraction based on coreeshell magnetic molecularly

After a deep study of the state of the art for the task of person detection, it has been possible to train a neural network based on the Yolo v2 detection, using MobileNet and Tiny

The second part proposes set- based fault detection and isolation for actuator and sensor faults, which is involved in interval observers and invariant sets.. In the second part,

It is clear that human motion provides use- ful information for people detection and independent from appearance information, so we also present an integrated system which combines

BASE SHADOW DETECTION ALGORITHM The shadow detection algorithm described in [4] (from now on base algorithm) is based on the application of two independent shadow detectors

The detection of radio emission in Swift J0243.6+6124 (a high-mass neutron star binary) has also been interpreted as coming from a jet based on the correlation between X-ray and