29 citations · 81 across the 21 of their papers we have counts for
3 papers · 2 filters
Fully Onboard Low-Power Localization with Semantic Sensor Fusion on a Nano-UAV using Floor Plans
Nicky Zimmerman, Hanna Müller, Michele Magno +1
Nano-sized unmanned aerial vehicles (UAVs) are well-fit for indoor applications and for close proximity to humans. To enable autonomy, the nano-UAV must be able to self-localize in…
NanoSLAM: Enabling Fully Onboard SLAM for Tiny Robots
Vlad Niculescu, Tommaso Polonelli, Michele Magno +1
Perceiving and mapping the surroundings are essential for enabling autonomous navigation in any robotic platform. The algorithm class that enables accurate mapping while correcting…
Fully Onboard SLAM for Distributed Mapping with a Swarm of Nano-Drones
Carl Friess, Vlad Niculescu, Tommaso Polonelli +2
The use of Unmanned Aerial Vehicles (UAVs) is rapidly increasing in applications ranging from surveillance and first-aid missions to industrial automation involving cooperation wit…