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20142025
most citedEfficient Optical flow and Stereo Vision for Velocity Estimation and Obstacle Avoidance on an Autonomous Pocket Drone

180 citations · 692 across the 42 of their papers we have counts for

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Showing 2016Show all

7 papers · 1 filter

physics.bio-ph2016★ 19 cited

First free-flight flow visualisation of a flapping-wing robot

Matěj Karásek, Mustafa Percin, Torbjørn Cunis +4

Flow visualisations are essential to better understand the unsteady aerodynamics of flapping wing flight. The issues inherent to animal experiments, such as poor controllability an…

cs.RO2016★ 180 cited

Efficient Optical flow and Stereo Vision for Velocity Estimation and Obstacle Avoidance on an Autonomous Pocket Drone

Kimberly McGuire, Guido de Croon, Christophe De Wagter +2

Miniature Micro Aerial Vehicles (MAV) are very suitable for flying in indoor environments, but autonomous navigation is challenging due to their strict hardware limitations. This p…

cs.RO2016

Efficient Global Indoor Localization for Micro Aerial Vehicles

V. Strobel, R. Meertens, G. C. H. E. de Croon

Indoor localization for autonomous micro aerial vehicles (MAVs) requires specific localization techniques, since the Global Positioning System (GPS) is usually not available. We pr…

cs.RO2016★ 2 cited

Adaptive Control Strategy for Constant Optical Flow Divergence Landing

H. W. Ho, G. C. H. E. de Croon, E. van Kampen +2

Bio-inspired methods can provide efficient solutions to perform autonomous landing for Micro Air Vehicles (MAVs). Flying insects such as honeybees perform vertical landings by keep…

cs.RO2016★ 1 cited

On-board Communication-based Relative Localization for Collision Avoidance in Micro Air Vehicle teams

Mario Coppola, Kimberly McGuire, Kirk Y. W. Scheper +1

Micro Air Vehicles (MAVs) will unlock their true potential once they can operate in groups. To this end, it is essential for them to estimate on-board the relative location of thei…

cs.RO2016★ 56 cited

Obstacle Avoidance Strategy using Onboard Stereo Vision on a Flapping Wing MAV

Sjoerd Tijmons, Guido de Croon, Bart Remes +2

The development of autonomous lightweight MAVs, capable of navigating in unknown indoor environments, is one of the major challenges in robotics. The complexity of this challenge c…

cs.RO2016★ 16 cited

Local Histogram Matching for Efficient Optical Flow Computation Applied to Velocity Estimation on Pocket Drones

Kimberly McGuire, Guido de Croon, Christophe de Wagter +3

Autonomous flight of pocket drones is challenging due to the severe limitations on on-board energy, sensing, and processing power. However, tiny drones have great potential as thei…