Research over the past century has revealed the impressive capacities of the honeybee,
Apis mellifera, in relation to visual perception, flight guidance, navigation, and learning and …

This paper presents a novel control strategy, which we call optiPilot, for autonomous flight in
the vicinity of obstacles. Most existing autopilots rely on a complete 6-degree-of-freedom …

Unmanned aircraft system navigation in urban environments requires consideration of which
combination of sensors can provide the most accurate navigation results in a dynamically …

To control flight, flying insects extract information from the pattern of visual motion generated
during flight, known as optic flow. To regulate their ground speed, insects such as …

We address the problem of navigating unmanned vehicles safely through urban canyons in
two dimensions using only vision‐based techniques. Two commonly used vision‐based …

Sparse optical flow algorithms, such as the Lucas-Kanade approach, provide more
robustness to noise than dense optical flow algorithms and are the preferred approach in …

Take-off and landing manoeuvres are critical for MAVs because GPS-based autopilots
usually do not perceive distance to the ground or other potential obstacles. In addition …

The ability to fly at low altitude while actively avoiding collisions with the terrain and other
objects is a great challenge for small unmanned aircraft. This paper builds on top of a control …

We propose the use of optical flow information as a method for detecting and describing
changes in the environment, from the perspective of a mobile camera. We analyze the …

The ability to fly at low altitude while actively avoiding collisions with the terrain and objects
such as trees and buildings is a great challenge for small unmanned aircraft. This paper …