Autonomous, Agile, Vision‐Controlled Drones: From Frame to Event Vision
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Scaramuzza, Davide
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Abstract
Autonomous quadrotors will soon play a major role in search‐and‐rescue and
remote‐inspection missions, where a fast response is crucial. Quadrotors have the potential to navigate quickly through unstructured
environments, enter and exit buildings through narrow gaps, and fly through collapsed buildings. However, their speed and maneuverability are
still far from those of birds. Indeed, agile navigation through unknown, indoor environments poses a number of challenges for robotics research
in terms of perception, state estimation, planning, and control. In this talk, I will show that active vision is crucial in order to plan trajectories that
improve the quality of perception. Also, I will talk about our recent results on event based vision to enable low latency sensory motor control
and navigation in low light and high dynamic environment, where traditional vision sensor fail.
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Date
2017-09-22
Extent
63:09 minutes
Resource Type
Moving Image
Resource Subtype
Lecture