Hilbert J. Kappen — accepted AI-conference papers

2017

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, Karl Tuyls, Hilbert J. Kappen

RA-L 2017

Micro Aerial Vehicles (FOV) are very suitable for flying in indoor environments, but autonomous navigation is challenging due to their strict hardware limitations. This paper presents a highly efficient computer vision algorithm called Edge-FS for the determination of velocity and depth. It runs at

Cited by 185 Source ↗Scholar ↗

2016

Local histogram matching for efficient optical flow computation applied to velocity estimation on pocket drones

Kimberly McGuire, Guido C. H. E. de Croon, Christophe De Wagter, Bart Remes, Karl Tuyls, Hilbert J. Kappen

ICRA 2016

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 their small size allows maneuvering through narrow spaces while their small weight provides significant safety advantages. T

Cited by 23 Source ↗Scholar ↗