Publications by Antoine Beyeler

The Accuracy of Automatic Photogrammetric Techniques on Ultra-light UAV Imagery

Pascal Fua, Dario Floreano, Jean-Christophe Zufferey, Antoine Beyeler, Christoph Strecha, Olivier Küng, François Gervaix

This paper presents an affordable, fully automated and accurate mapping solutions based on ultra-light UAV imagery. Several datasets are analysed and their accuracy is estimated. We show that the accuracy highly depends on the ground resolution (flying hei ...

2011

Autonomous flight at low altitude using light sensors and little computational power

Dario Floreano, Jean-Christophe Zufferey, Antoine Beyeler

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 builds on top of a control strategy called optiPilot whereby a serie ...

2010

Autonomous flight at low altitude with vision-based collision avoidance and GPS-based path following

Dario Floreano, Jean-Christophe Zufferey, Antoine Beyeler

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 strategy called optiPilot whereby a series of optic-flow detect ...

IEEE2010

Vision-based control of near-obstacle flight

Dario Floreano, Jean-Christophe Zufferey, Antoine Beyeler

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 state estimation using a GPS and an Inertial Measurement Unit (IMU) a ...

2009

Vision-based control of near-obstacle flight

Antoine Beyeler

Lightweight micro unmanned aerial vehicles (micro-UAVs) capable of autonomous flight in natural and urban environments have a large potential for civil and commercial applications, including environmental monitoring, forest fire monitoring, homeland securi ...

EPFL2009

optiPilot: control of take-off and landing using optic flow

Dario Floreano, Jean-Christophe Zufferey, Antoine Beyeler

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, attitude estimates based on inertial sensors are often perturbed by the strong acce ...

2009

Near-obstacle flight with small UAVs

Dario Floreano, Jean-Christophe Zufferey, Antoine Beyeler

Autonomous flight in confined or cluttered environments such as houses or urban canyons requires high manoeuvrability, fast mapping from sensors to actuators and very limited overall system weight. Although flying animals are well capable of solving this p ...

Springer Verlag2008

Visual autopilot for near-obstacle flight

Dario Floreano, Jean-Christophe Zufferey, Antoine Beyeler

This present invention describes a novel vision-based control strategy for autonomous cruise flight in possibly cluttered environments such as – but not limited to - cities, forests, valleys, or mountains. ...

2008

Insect-inspired Autonomous Microflyer

Dario Floreano, Jean-Christophe Zufferey, Antoine Beyeler

2007

3D Vision-based Navigation for Indoor Microflyers

Dario Floreano, Jean-Christophe Zufferey, Antoine Beyeler

Fully autonomous control of ultra-light indoor airplanes has not yet been achieved because the strong limitations on the kind of sensors that can be embedded make it difficult to obtain good estimations of altitude. We propose to revisit altitude control b ...

2007