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Matthias Faessler

7 accepted papers

2019

Are We Ready for Autonomous Drone Racing? The UZH-FPV Drone Racing Dataset

ICRA 2019poster

Despite impressive results in visual-inertial state estimation in recent years, high speed trajectories with six degree of freedom motion remain challenging for existing estimation algorithms. Aggressive trajectories feature large accelerations and rapid rotational motions, and when they pass close…

Cited by 269SourceScholar
2018

Differential Flatness of Quadrotor Dynamics Subject to Rotor Drag for Accurate Tracking of High-Speed Trajectories

RA-L 2018

In this letter, we prove that the dynamical model of a quadrotor subject to linear rotor drag effects is differentially flat in its position and heading. We use this property to compute feedforward control terms directly from a reference trajectory to be tracked. The obtained feedforward terms are t

Cited by 390SourceScholar
2017

Aggressive quadrotor flight through narrow gaps with onboard sensing and computing using active vision

ICRA 2017poster

We address one of the main challenges towards autonomous quadrotor flight in complex environments, which is flight through narrow gaps. While previous works relied on off-board localization systems or on accurate prior knowledge of the gap position and orientation in the world reference frame, we re…

Cited by 237SourceScholar
2017

Thrust Mixing, Saturation, and Body-Rate Control for Accurate Aggressive Quadrotor Flight

RA-L 2017

Quadrotors are well suited for executing fast maneuvers with high accelerations but they are still unable to follow a fast trajectory with centimeter accuracy without iteratively learning it beforehand. In this paper, we present a novel body-rate controller and an iterative thrust-mixing scheme, whi

Cited by 134SourceScholar
2016

A Machine Learning Approach to Visual Perception of Forest Trails for Mobile Robots

RA-L 2016

We study the problem of perceiving forest or mountain trails from a single monocular image acquired from the viewpoint of a robot traveling on the trail itself. Previous literature focused on trail segmentation, and used low-level features such as image saliency or appearance contrast; we propose a

Cited by 684SourceScholar
2015

Automatic re-initialization and failure recovery for aggressive flight with a monocular vision-based quadrotor

ICRA 2015poster

Autonomous, vision-based quadrotor flight is widely regarded as a challenging perception and control problem since the accuracy of a flight maneuver is strongly influenced by the quality of the on-board state estimate. In addition, any vision-based state estimator can fail due to the lack of visual…

Cited by 152SourceScholar
2015

Continuous on-board monocular-vision-based elevation mapping applied to autonomous landing of micro aerial vehicles

ICRA 2015poster

In this paper, we propose a resource-efficient system for real-time 3D terrain reconstruction and landing-spot detection for micro aerial vehicles. The system runs on an on-board smartphone processor and requires only the input of a single downlooking camera and an inertial measurement unit. We gene…

Cited by 137SourceScholar