This paper presents a complete review of computer vision algorithms and vision-based
intelligent applications, that are developed in the field of the Unmanned Aerial Vehicles …

You are holding in your hands… oh, come on, who holds books like this in their hands
anymore? Anyway, you are reading this, and it means that I have managed to release one of …

Obstacle avoidance is desirable for lightweight micro aerial vehicles and is a challenging
problem since the payload constraints only permit monocular cameras and obstacles cannot …

We describe an approach for upgrading 2D optical flow to 3D scene flow. Our key insight is
that dense optical expansion-which can be reliably inferred from monocular frame pairs …

One of the most challenging problems in the domain of autonomous aerial vehicles is the
designing of a robust real-time obstacle detection and avoidance system. This problem is …

Robust real-time obstacle detection/avoidance is a challenging problem especially for micro
and small aerial vehicles due to the limited number of the on-board sensors due to the …

In this article, we present a monocular visual reactive navigation system capable of
navigating at high speeds, without GPS, in unknown complex cluttered environments. The …

This paper proposes a reactive obstacle avoidance approach based solely on image data
from a monocular camera stream. By clustering and analyzing the optical flow, this approach …

The capability to visually discern possible obstacles from the sky would be a valuable asset
to a UAV for avoiding both other flying vehicles and static obstacles in its environment. The …

This paper address the problem of optical expansion (OE). OE describes the object scale
change between two frames, widely used in monocular 3D vision tasks. Previous methods …